Publications

Papers in international journals

K. Venkadesh, A. Setio, A. Schreuder, E. Scholten, K. Chung, M. W Wille, Z. Saghir, B. van Ginneken, M. Prokop and C. Jacobs, "Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT", Radiology, 2021:204433. PDF DOI PubMed Algorithm
K. van Leeuwen, S. Schalekamp, M. Rutten, B. van Ginneken and M. de Rooij, "Artificial intelligence in radiology: 100 commercially available products and their scientific evidence", European Radiology, 2021;31:3797–3804. PDF DOI PubMed
A. Schreuder, C. Jacobs, N. Lessmann, M. Broeders, M. Silva, I. Išgum, P. de Jong, N. Sverzellati, M. Prokop, U. Pastorino, C. Schaefer-Prokop and B. van Ginneken, "Combining pulmonary and cardiac computed tomography biomarkers for disease-specific risk modelling in lung cancer screening", European Respiratory Journal, 2021. PDF DOI PubMed
N. Lessmann, C. Sánchez, L. Beenen, L. Boulogne, M. Brink, E. Calli, J. Charbonnier, T. Dofferhoff, W. van Everdingen, P. Gerke, B. Geurts, H. Gietema, M. Groeneveld, L. van Harten, N. Hendrix, W. Hendrix, H. Huisman, I. Isgum, C. Jacobs, R. Kluge, M. Kok, J. Krdzalic, B. Lassen-Schmidt, K. van Leeuwen, J. Meakin, M. Overkamp, T. van Rees Vellinga, E. van Rikxoort, R. Samperna, C. Schaefer-Prokop, S. Schalekamp, E. Scholten, C. Sital, L. Stöger, J. Teuwen, K. Vaidhya Venkadesh, C. de Vente, M. Vermaat, W. Xie, B. de Wilde, M. Prokop and B. van Ginneken, "Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence", Radiology, 2021;298(1):E18-E28. PDF DOI PubMed Algorithm
G. Humpire Mamani, J. Bukala, E. Scholten, M. Prokop, B. van Ginneken and C. Jacobs, "Fully Automatic Volume Measurement of the Spleen at CT Using Deep Learning", Radiology: Artificial Intelligence, 2020;2(4):e190102. PDF DOI PubMed Cited by Algorithm
A. Schreuder, C. Jacobs, E. Scholten, B. van Ginneken, C. Schaefer-Prokop and M. Prokop, "Typical CT Features of Intrapulmonary Lymph Nodes: A Review", Radiology: Cardiothoracic Imaging, 2020;2(4):e190159. PDF DOI PubMed
B. van Ginneken, "The Potential of Artificial Intelligence to Analyze Chest Radiographs for Signs of COVID-19 Pneumonia", Radiology, 2020:204238. PDF DOI PubMed
A. Meyer, G. Chlebus, M. Rak, D. Schindele, M. Schostak, B. van Ginneken, A. Schenk, H. Meine, H. Hahn, A. Schreiber and C. Hansen, "Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI", Computer Methods and Programs in Biomedicine, 2020:105821. PDF DOI PubMed
M. Silva, G. Milanese, S. Sestini, F. Sabia, C. Jacobs, B. van Ginneken, M. Prokop, C. Schaefer-Prokop, A. Marchiano, N. Sverzellati and U. Pastorino, "Lung cancer screening by nodule volume in Lung-RADS v1.1: negative baseline CT yields potential for increased screening interval", European Radiology, 2020;31(4):1956-1968. PDF DOI PubMed
M. Meijs, F. Meijer, M. Prokop, B. van Ginneken and R. Manniesing, "Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning", Medical Image Analysis, 2020;66:101810. PDF DOI PubMed
L. Maier-Hein, A. Reinke, M. Kozubek, A. L. Martel, T. Arbel, M. Eisenmann, A. Hanbuary, P. Jannin, H. Muller, S. Onogur, J. Saez-Rodriguez, B. van Ginneken, A. Kopp-Schneider and B. Landman, "BIAS: Transparent reporting of biomedical image analysis challenges", Medical Image Analysis, 2020;66:101796. PDF DOI PubMed Cited by
H. Pinckaers, B. van Ginneken and G. Litjens, "Streaming convolutional neural networks for end-to-end learning with multi-megapixel images", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020. PDF DOI PubMed Code
C. González-Gonzalo, B. Liefers, B. van Ginneken and C. Sánchez, "Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks: application to color fundus images", IEEE Transactions on Medical Imaging, 2020;39(11):3499-3511. PDF DOI PubMed
W. Xie, C. Jacobs, J. Charbonnier and B. van Ginneken, "Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans", IEEE Transactions on Medical Imaging, 2020;39(8):2664-2675. PDF DOI PubMed Cited by Algorithm
A. Schreuder, C. Jacobs, E. Scholten, M. Prokop, B. van Ginneken, D. Lynch and C. Schaefer-Prokop, "Association between the number and size of intrapulmonary lymph nodes and chronic obstructive pulmonary disease severity", PeerJ, 2020;8:e9166. PDF DOI PubMed
K. Murphy, H. Smits, A. Knoops, M. Korst, T. Samson, E. Scholten, S. Schalekamp, C. Schaefer-Prokop, R. Philipsen, A. Meijers, J. Melendez, B. van Ginneken and M. Rutten, "COVID-19 on the Chest Radiograph: A Multi-Reader Evaluation of an AI System", Radiology, 2020;296:E166–E172. PDF DOI PubMed Cited by
M. Prokop, W. van Everdingen, T. van Rees Vellinga, J. van Quarles Ufford, L. Stoger, L. Beenen, B. Geurts, H. Gietema, J. Krdzalic, C. Schaefer-Prokop, B. van Ginneken, M. Brink and the COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society, "CO-RADS - A categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation", Radiology, 2020;296(2):E97-E104. PDF DOI PubMed Cited by
S. Habib, S. Rafiq, S. Zaidi, R. Ferrand, J. Creswell, B. Van Ginneken, W. Jamal, K. Azeemi, S. Khowaja and A. Khan, "Evaluation of computer aided detection of tuberculosis on chest radiography among people with diabetes in Karachi Pakistan", Nature Scientific Reports, 2020;10(1):6276. PDF DOI PubMed
K. Murphy, S. Habib, S. Zaidi, S. Khowaja, A. Khan, J. Melendez, E. Scholten, F. Amad, S. Schalekamp, M. Verhagen, R. Philipsen, A. Meijers and B. van Ginneken, "Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system", Nature Scientific Reports, 2020;10:5492. PDF DOI PubMed Cited by
B. Liefers, J. Colijn, C. González-Gonzalo, T. Verzijden, J. Wang, N. Joachim, P. Mitchell, C. Hoyng, B. van Ginneken, C. Klaver and C. Sánchez, "A deep learning model for segmentation of geographic atrophy to study its long-term natural history", Ophthalmology, 2020;127(8):1086-1096. PDF DOI PubMed Cited by
H. Kauczor, A. Baird, T. Blum, L. Bonomo, C. Bostantzoglou, O. Burghuber, B. Cepicka, A. Comanescu, S. Courad, A. Devaraj, V. Jespersen, S. Morozov, I. Agmon, N. Peled, P. Powell, H. Prosch, S. Ravara, J. Rawlinson, M. Revel, M. Silca, A. Snoeckx, B. van Ginneken, J. van Meerbeeck, C. Vardavas, O. von Stackelberg, M. Gaga, O. behalf of the of (ESR) and T. (ERS), "ESR/ERS statement paper on lung cancer screening", European Radiology, 2020;30:3277-3294. PDF DOI PubMed
H. Kauczor, A. Baird, T. Blum, L. Bonomo, C. Bostantzoglou, O. Burghuber, B. Cepicka, A. Comanescu, S. Couraud, A. Devaraj, V. Jespersen, S. Morozov, I. Nardi Agmon, N. Peled, P. Powell, H. Prosch, S. Ravara, J. Rawlinson, M. Revel, M. Silva, A. Snoeckx, B. van Ginneken, J. van Meerbeeck, C. Vardavas, O. von Stackelberg, M. Gaga, E. of (ESR) and T. (ERS), "ESR/ERS statement paper on lung cancer screening", European Respiratory Journal, 2020;55(2):1900506. PDF DOI PubMed Cited by
N. Mahomed, B. van Ginneken, R. Philipsen, J. Melendez, D. Moore, H. Moodley, T. Sewchuran, D. Mathew and S. Madhi, "Computer-aided diagnosis for World Health Organization-defined chest radiograph primary-endpoint pneumonia in children", Pediatric Radiology, 2020;50(4):482-491. PDF DOI PubMed Cited by
W. Bulten, H. Pinckaers, H. van Boven, R. Vink, T. de Bel, B. van Ginneken, J. van der Laak, C. de Hulsbergen-van Kaa and G. Litjens, "Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study", Lancet Oncology, 2020;21(2):233-241. PDF DOI PubMed Cited by Algorithm
C. González-Gonzalo, V. Sánchez-Gutiérrez, P. Hernández-Martínez, I. Contreras, Y. Lechanteur, A. Domanian, B. van Ginneken and C. Sánchez, "Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration", Acta Ophthalmologica, 2020;98(4):368-377. PDF DOI PubMed Cited by
S. van de Leemput, M. Prokop, B. van Ginneken and R. Manniesing, "Stacked Bidirectional Convolutional LSTMs for Deriving 3D Non-contrast CT from Spatiotemporal 4D CT", IEEE Transactions on Medical Imaging, 2020;39(4):985-996. PDF DOI PubMed Cited by
A. Schreuder, E. Scholten, B. van Ginneken and C. Jacobs, "Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice?", Translational Lung Cancer Research, 2020. PDF DOI
E. Sogancioglu, K. Murphy, E. Calli, E. Scholten, S. Schalekamp and B. Van Ginneken, "Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification", IEEE Access, 2020;8:94631-94642. PDF DOI
S. Kazeminia, C. Baur, A. Kuijper, B. van Ginneken, N. Navab, S. Albarqouni and A. Mukhopadhyay, "GANs for Medical Image Analysis", Artificial Intelligence in Medicine, 2020;109:101938. PDF DOI Cited by
P. Bándi, M. Balkenhol, B. van Ginneken, J. van der Laak and G. Litjens, "Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks", PeerJ, 2019;7:e8242. PDF DOI PubMed Cited by
A. Patel, F. Schreuder, C. Klijn, M. Prokop, B. van Ginneken, H. Marquering, Y. Roos, M. Baharoglu, F. Meijer and R. Manniesing, "Intracerebral haemorrhage segmentation in non-contrast CT", Nature Scientific Reports, 2019;9(1):17858. PDF DOI PubMed Cited by
R. Philipsen, C. Sánchez, J. Melendez, W. Lew and B. van Ginneken, "Automated chest X-ray reading for tuberculosis in the Philippines to improve case detection: a cohort study", International Journal of Tuberculosis and Lung Disease, 2019;23(7):805-810. PDF DOI PubMed
G. Aresta, C. Jacobs, T. Araujo, A. Cunha, I. Ramos, B. van Ginneken and A. Campilho, "iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network", Nature Scientific Reports, 2019;9(1):11591. PDF DOI PubMed Cited by
C. Jacobs and B. van Ginneken, "Google's lung cancer AI: a promising tool that needs further validation", Nature Reviews Clinical Oncology, 2019;16(9):532-533. PDF DOI PubMed Cited by
G. Chlebus, H. Meine, S. Thoduka, N. Abolmaali, B. van Ginneken, H. Hahn and A. Schenk, "Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections", PLoS One, 2019;14(5):e0217228. PDF DOI PubMed Cited by
A. Schreuder, C. Jacobs, L. Gallardo-Estrella, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performances", PLoS One, 2019;14(2):e0212756. PDF DOI PubMed Cited by
N. Lessmann, B. van Ginneken, P. de Jong and I. Išgum, "Iterative fully convolutional neural networks for automatic vertebra segmentation and identification", Medical Image Analysis, 2019;53:142-155. PDF DOI PubMed Cited by
W. Bulten, P. Bándi, J. Hoven, R. van de Loo, J. Lotz, N. Weiss, J. van der Laak, B. van Ginneken, C. Hulsbergen-van de Kaa and G. Litjens, "Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard", Nature Scientific Reports, 2019;9(1). PDF DOI PubMed Cited by
J. Charbonnier, E. Pompe, C. Moore, S. Humphries, B. van Ginneken, B. Make, E. Regan, J. Crapo, E. van Rikxoort and D. Lynch, "Airway wall thickening on CT: Relation to smoking status and severity of COPD", Respiratory Medicine, 2019;146:36-41. PDF DOI PubMed Cited by
N. Lessmann, P. de Jong, C. Celeng, R. Takx, M. Viergever, B. van Ginneken and I. Išgum, "Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers", JACC Cardiovascular Imaging, 2019;12:1808-1817. PDF DOI PubMed Cited by
T. van den Heuvel, H. Petros, S. Santini, C. de Korte and B. van Ginneken, "Automated Fetal Head Detection and Circumference Estimation from Free-Hand Ultrasound Sweeps Using Deep Learning in Resource-Limited Countries", Ultrasound in Medicine and Biology, 2019;45(3):773-785. PDF DOI PubMed Cited by
B. van Ginneken, "Deep Learning for Triage of Chest Radiographs: Should Every Institution Train Its Own System?", Radiology, 2019;290:545-546. PDF DOI PubMed Cited by
M. Tammemagi, A. Ritchie, S. Atkar-Khattra, B. Dougherty, C. Sanghera, J. Mayo, R. Yuan, D. Manos, A. McWilliams, H. Schmidt, M. Gingras, S. Pasian, L. Stewart, S. Tsai, J. M.Seely, P. Burrowes, R. Bhatia, E. A.Haider, C. Boylan, C. Jacobs, B. van Ginneken, M. Tsao, S. Lam and the Pan-Canadian Early Detection of Lung Cancer Study Group, "Predicting Malignancy Risk of Screen Detected Lung Nodules - Mean Diameter or Volume", Journal of Thoracic Oncology, 2019;14(2):203-211. PDF DOI PubMed Cited by
S. van Riel, C. Jacobs, E. Scholten, R. Wittenberg, M. Winkler Wille, B. de Hoop, R. Sprengers, O. Mets, B. Geurts, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management", European Radiology, 2019;29(2):924-931. PDF DOI PubMed Cited by
S. van de Leemput, J. Teuwen, B. van Ginneken and R. Manniesing, "MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks", JOSS, 2019;4(39):1576. PDF DOI Cited by Code
A. Patel, S. van de Leemput, M. Prokop, B. van Ginneken and R. Manniesing, "Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CT", IEEE Access, 2019;7(1):92355-92364. PDF DOI Cited by
S. van de Leemput, M. Meijs, A. Patel, F. Meijer, B. van Ginneken and R. Manniesing, "Multiclass Brain Tissue Segmentation in 4D CT using Convolutional Neural Networks", IEEE Access, 2019;7(1):51557-51569. PDF DOI Cited by
P. Bándi, O. Geessink, Q. Manson, M. van Dijk, M. Balkenhol, M. Hermsen, B. Bejnordi, B. Lee, K. Paeng, A. Zhong, Q. Li, F. Zanjani, S. Zinger, K. Fukuta, D. Komura, V. Ovtcharov, S. Cheng, S. Zeng, J. Thagaard, A. Dahl, H. Lin, H. Chen, L. Jacobsson, M. Hedlund, M. Cetin, E. Halici, H. Jackson, R. Chen, F. Both, J. Franke, H. Kusters-Vandevelde, W. Vreuls, P. Bult, B. van Ginneken, J. van der Laak and G. Litjens, "From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge", IEEE Transactions on Medical Imaging, 2018;38(2):550-560. PDF DOI PubMed Cited by
L. Maier-Hein, M. Eisenmann, A. Reinke, S. Onogur, M. Stankovic, P. Scholz, T. Arbel, H. Bogunovic, A. Bradley, A. Carass, C. Feldmann, A. Frangi, P. Full, B. van Ginneken, A. Hanbury, K. Honauer, M. Kozubek, B. Landman, K. Marz, O. Maier, K. Maier-Hein, B. Menze, H. Muller, P. Neher, W. Niessen, N. Rajpoot, G. Sharp, K. Sirinukunwattana, S. Speidel, C. Stock, D. Stoyanov, A. Taha, F. van der Sommen, C. Wang, M. Weber, G. Zheng, P. Jannin and A. Kopp-Schneider, "Why rankings of biomedical image analysis competitions should be interpreted with care", Nature Communications, 2018;9(1):5217. PDF DOI PubMed Cited by
G. Chlebus, A. Schenk, J. Moltz, B. van Ginneken, H. Hahn and H. Meine, "Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing", Nature Scientific Reports, 2018;8(1):15497. PDF DOI PubMed Cited by
T. van den Heuvel, D. de Bruijn, C. de Korte and B. van Ginneken, "Automated measurement of fetal head circumference using 2D ultrasound images", PLoS One, 2018;13(8). PDF DOI PubMed Cited by
S. Zaidi, S. Habib, B. van Ginneken, R. Ferrand, J. Creswell, S. Khowaja and A. Khan, "Evaluation of the diagnostic accuracy of Computer-Aided Detection of tuberculosis on Chest radiography among private sector patients in Pakistan", Nature Scientific Reports, 2018;8(1):12339. PDF DOI PubMed Cited by
T. van den Heuvel, D. de Bruijn, D. de Moens-van Moesdijk, A. Beverdam, B. van Ginneken and C. de Korte, "Comparison Study of Low-Cost Ultrasound Devices for Estimation of Gestational Age in Resource-Limited Countries", Ultrasound in Medicine and Biology, 2018;44(11):2250-2260. PDF DOI PubMed Cited by
R. Koesoemadinata, K. Kranzer, R. Livia, N. Susilawati, J. Annisa, N. Soetedjo, R. Ruslami, R. Philipsen, B. van Ginneken, R. Soetikno, R. van Crevel, B. Alisjahbana and P. Hill, "Computer-assisted chest radiography reading for tuberculosis screening in people living with diabetes mellitus", International Journal of Tuberculosis and Lung Disease, 2018;22(9):1088-1094. PDF DOI PubMed Cited by
M. Silva, M. Prokop, C. Jacobs, G. Capretti, N. Sverzellati, F. Ciompi, B. van Ginneken, C. Schaefer-Prokop, C. Galeone, A. Marchiano and U. Pastorino, "Long-term Active Surveillance of Screening Detected Subsolid Nodules is a Safe Strategy to Reduce Overtreatment", Journal of Thoracic Oncology, 2018;13:1454-1463. PDF DOI PubMed Cited by
Z. Bian, J. Charbonnier, J. Liu, D. Zhao, D. Lynch and B. van Ginneken, "Small airway segmentation in thoracic computed tomography scans: a machine learning approach", Physics in Medicine and Biology, 2018;63(15):155024. PDF DOI PubMed Cited by
A. Schreuder, B. van Ginneken, E. Scholten, C. Jacobs, M. Prokop, N. Sverzellati, S. Desai, A. Devaraj and C. Schaefer-Prokop, "Classification of CT Pulmonary Opacities as Perifissural Nodules: Reader Variability", Radiology, 2018;288(3):867-875. PDF DOI PubMed Cited by
B. Ehteshami Bejnordi, M. Mullooly, R. Pfeiffer, S. Fan, P. Vacek, D. Weaver, S. Herschorn, L. Brinton, B. van Ginneken, N. Karssemeijer, A. Beck, G. Gierach, J. van der Laak and M. Sherman, "Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies", Modern Pathology, 2018;31(10):1502-1512. PDF DOI PubMed Cited by
K. Chung, O. Mets, P. Gerke, C. Jacobs, A. den Harder, E. Scholten, M. Prokop, P. de Jong, B. van Ginneken and C. Schaefer-Prokop, "Brock malignancy risk calculator for pulmonary nodules: validation outside a lung cancer screening population", Thorax, 2018;73:857-863. PDF DOI PubMed Cited by
F. Venhuizen, B. van Ginneken, B. Liefers, F. van Asten, V. Schreur, S. Fauser, C. Hoyng, T. Theelen and C. Sánchez, "A Deep Learning Approach for Detection and Quantification of Intraretinal Cystoid Fluid in Multivendor Optical Coherence Tomography", Biomedical Optics Express, 2018;9(4):1545-1569. PDF DOI PubMed
J. Melendez, L. Hogeweg, C. Sánchez, R. Philipsen, R. Aldridge, A. Hayward, I. Abubakar, B. van Ginneken and A. Story, "Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening", International Journal of Tuberculosis and Lung Disease, 2018;22(5):567-571. PDF DOI PubMed Cited by
O. Mets, K. Chung, P. Zanen, E. Scholten, W. Veldhuis, B. van Ginneken, M. Prokop, C. Schaefer-Prokop and P. de Jong, "In vivo growth of 60 non-screening detected lung cancers: a computed tomography study", European Respiratory Journal, 2018;51:1702183. PDF DOI PubMed Cited by
A. Schreuder, C. Schaefer-Prokop, E. Scholten, C. Jacobs, M. Prokop and B. van Ginneken, "Lung cancer risk to personalise annual and biennial follow-up computed tomography screening", Thorax, 2018;73(7):626-633. PDF DOI PubMed Cited by
M. Silva, C. Schaefer-Prokop, C. Jacobs, G. Capretti, F. Ciompi, B. van Ginneken, U. Pastorino and N. Sverzellati, "Detection of Subsolid Nodules in Lung Cancer Screening: Complementary Sensitivity of Visual Reading and Computer-Aided Diagnosis", Investigative Radiology, 2018;53(8):441-449. PDF DOI PubMed Cited by
G. Humpire Mamani, A. Setio, B. van Ginneken and C. Jacobs, "Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scans", Physics in Medicine and Biology, 2018;63(8):085003. PDF DOI PubMed Cited by
K. Chung, F. Ciompi, J. Scholten E. Th. Goo, M. Prokop, C. Jacobs, B. van Ginneken and C. Schaefer-Prokop, "Visual Discrimination of Screen-detected Persistent from Transient Subsolid Nodules: an Observer Study", PLoS One, 2018;13(2):e0191874. PDF DOI PubMed Cited by
N. Lessmann, B. van Ginneken, M. Zreik, P. de Jong, B. de Vos, M. Viergever and I. Išgum, "Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions", IEEE Transactions on Medical Imaging, 2018;37(2):615-625. PDF DOI PubMed Cited by
J. Charbonnier, K. Chung, E. Scholten, E. van Rikxoort, C. Jacobs, N. Sverzellati, M. Silva, U. Pastorino, B. van Ginneken and F. Ciompi, "Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules", Nature Scientific Reports, 2018;8(1):646. PDF DOI PubMed Cited by
O. Mets, K. Chung, E. Scholten, W. Veldhuis, M. Prokop, B. van Ginneken, C. Schaefer-Prokop and P. de Jong, "Incidental perifissural nodules on routine chest computed tomography: lung cancer or not?", European Radiology, 2018:1095-1101. PDF DOI PubMed Cited by
B. Bejnordi, G. Zuidhof, M. Balkenhol, M. Hermsen, P. Bult, B. van Ginneken, N. Karssemeijer, G. Litjens and J. van der Laak, "Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images", Journal of Medical Imaging, 2017;4(4):044504. PDF DOI PubMed Cited by
B. Ehteshami Bejnordi, M. Veta, P. van Diest, B. van Ginneken, N. Karssemeijer, G. Litjens, J. van der Laak, T. Consortium, M. Hermsen, Q. Manson, M. Balkenhol, O. Geessink, N. Stathonikos, M. van Dijk, P. Bult, F. Beca, A. Beck, D. Wang, A. Khosla, R. Gargeya, H. Irshad, A. Zhong, Q. Dou, Q. Li, H. Chen, H. Lin, P. Heng, C. Haß, E. Bruni, Q. Wong, U. Halici, M. Öner, R. Cetin-Atalay, M. Berseth, V. Khvatkov, A. Vylegzhanin, O. Kraus, M. Shaban, N. Rajpoot, R. Awan, K. Sirinukunwattana, T. Qaiser, Y. Tsang, D. Tellez, J. Annuscheit, P. Hufnagl, M. Valkonen, K. Kartasalo, L. Latonen, P. Ruusuvuori, K. Liimatainen, S. Albarqouni, B. Mungal, A. George, S. Demirci, N. Navab, S. Watanabe, S. Seno, Y. Takenaka, H. Matsuda, H. Ahmady Phoulady, V. Kovalev, A. Kalinovsky, V. Liauchuk, G. Bueno, M. Fernandez-Carrobles, I. Serrano, O. Deniz, D. Racoceanu and R. Venâncio, "Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer", Journal of the American Medical Association, 2017;318(22):2199-2210. PDF DOI PubMed Cited by
L. Gallardo-Estrella, E. Pompe, P. de Jong, C. Jacobs, E. van Rikxoort, M. Prokop, C. Sánchez and B. van Ginneken, "Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality", PLoS One, 2017;12(12):e0188902. PDF DOI PubMed Cited by
B. Liefers, F. Venhuizen, V. Schreur, B. van Ginneken, C. Hoyng, S. Fauser, T. Theelen and C. Sánchez, "Automatic detection of the foveal center in optical coherence tomography", Biomedical Optics Express, 2017;8(11):5160-5178. PDF DOI PubMed Cited by
M. Meijs, A. Patel, S. van de Leemput, M. Prokop, E. van Dijk, F. de Leeuw, F. Meijer, B. van Ginneken and R. Manniesing, "Robust Segmentation of the Full Cerebral Vasculature in 4D CT Images of Suspected Stroke Patients", Nature Scientific Reports, 2017;7. PDF DOI PubMed
S. van Riel, F. Ciompi, M. Winkler Wille, A. Dirksen, S. Lam, E. Scholten, S. Rossi, N. Sverzellati, M. Naqibullah, R. Wittenberg, M. Hovinga-de Boer, M. Snoeren, L. Peters-Bax, O. Mets, M. Brink, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers", PLoS One, 2017;12(11):e0185032. PDF DOI PubMed Cited by
F. Ciompi, K. Chung, S. van Riel, A. Setio, P. Gerke, C. Jacobs, E. Scholten, C. Schaefer-Prokop, M. Wille, A. Marchiano, U. Pastorino, M. Prokop and B. van Ginneken, "Towards automatic pulmonary nodule management in lung cancer screening with deep learning", Nature Scientific Reports, 2017(46479). PDF DOI PubMed Cited by
A. Devaraj, B. van Ginneken, A. Nair and D. Baldwin, "Use of Volumetry for Lung Nodule Management: Theory and Practice", Radiology, 2017;284(3):630-644. PDF DOI PubMed Cited by
J. Melendez, R. Philipsen, P. Chanda-Kapata, V. Sunkutu, N. Kapata and B. van Ginneken, "Automatic versus human reading of chest X-rays in the Zambia National Tuberculosis Prevalence Survey", International Journal of Tuberculosis and Lung Disease, 2017;21(8):880-886. PDF DOI PubMed Cited by
G. Litjens, T. Kooi, B. Ehteshami Bejnordi, A. Setio, F. Ciompi, M. Ghafoorian, J. van der Laak, B. van Ginneken and C. Sánchez, "A Survey on Deep Learning in Medical Image Analysis", Medical Image Analysis, 2017;42:60-88. PDF DOI PubMed Cited by
A. Setio, A. Traverso, T. de Bel, M. Berens, C. Bogaard, P. Cerello, H. Chen, Q. Dou, M. Fantacci, B. Geurts, R. Gugten, P. Heng, B. Jansen, M. de Kaste, V. Kotov, J. Lin, J. Manders, A. Sonora-Mengana, J. Garcia-Naranjo, E. Papavasileiou, M. Prokop, M. Saletta, C. Schaefer-Prokop, E. Scholten, L. Scholten, M. Snoeren, E. Torres, J. Vandemeulebroucke, N. Walasek, G. Zuidhof, B. Ginneken and C. Jacobs, "Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge", Medical Image Analysis, 2017;42:1-13. PDF DOI PubMed Cited by
F. Venhuizen, B. van Ginneken, B. Liefers, Schreur, M. van Grinsven, S. Fauser, C. Hoyng, T. Theelen and C. Sánchez, "Robust Total Retina Thickness Segmentation in Optical Coherence Tomography Images using Convolutional Neural Networks", Biomedical Optics Express, 2017;8(7):3292-3316. PDF DOI PubMed Cited by
M. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, C. Sánchez, G. Litjens, F. de Leeuw, B. van Ginneken, E. Marchiori and B. Platel, "Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities", Nature Scientific Reports, 2017;7(1):5110. PDF DOI PubMed Cited by
B. Lassen-Schmidt, J. Kuhnigk, O. Konrad, B. van Ginneken and E. van Rikxoort, "Fast interactive segmentation of the pulmonary lobes from thoracic computed tomography data", Physics in Medicine and Biology, 2017;62(16):6649-6665. PDF DOI PubMed Cited by
K. Chung, C. Jacobs, E. Scholten, O. Mets, I. Dekker, M. Prokop, B. van Ginneken and C. Schaefer-Prokop, "Malignancy estimation of Lung-RADS criteria for subsolid nodules on CT: accuracy of low and high risk spectrum when using NLST nodules", European Radiology, 2017;27:4672-4679. PDF DOI PubMed Cited by
F. Venhuizen, B. van Ginneken, F. van Asten, M. van Grinsven, S. Fauser, C. Hoyng, T. Theelen and C. Sánchez, "Automated Staging of Age-Related Macular Degeneration Using Optical Coherence Tomography", Investigative Ophthalmology and Visual Science, 2017;58(4):2318-2328. PDF DOI PubMed Cited by
E. Pompe, P. de Jong, D. Lynch, N. Lessmann, I. Išgum, B. van Ginneken, J. Lammers and F. Mohamed Hoesein, "Computed tomographic findings in subjects who died from respiratory disease in the National Lung Screening Trial", European Respiratory Journal, 2017;49(4):1601814. PDF DOI PubMed Cited by
L. Gallardo Estrella, E. Pompe, J. Kuhnigk, D. Lynch, S. Bhatt, B. van Ginneken and E. van Rikxoort, "Computed tomography quantification of tracheal abnormalities in COPD and their influence on airflow limitation", Medical Physics, 2017;44(7):3594-3603. PDF DOI PubMed Cited by
K. Chung, C. Jacobs, E. Scholten, J. Goo, H. Prosch, N. Sverzellati, F. Ciompi, O. Mets, P. Gerke, M. Prokop, B. van Ginneken and C. Schaefer-Prokop, "Lung-RADS Category 4X: Does It Improve Prediction of Malignancy in Subsolid Nodules?", Radiology, 2017;284(1):264-271. PDF DOI PubMed Cited by
S. van Riel, F. Ciompi, C. Jacobs, M. Winkler Wille, E. Scholten, M. Naqibullah, S. Lam, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines", European Radiology, 2017;27(10):4019-4029. PDF DOI PubMed Cited by
R. Manniesing, M. Oei, L. Oostveen, J. Melendez, E. Smit, B. Platel, C. Sánchez, F. Meijer, M. Prokop and B. van Ginneken, "White Matter and Gray Matter Segmentation in 4D Computed Tomography", Nature Scientific Reports, 2017;7(119). PDF DOI PubMed Cited by
M. Ghafoorian, N. Karssemeijer, T. Heskes, M. Bergkamp, J. Wissink, J. Obels, K. Keizer, F. de Leeuw, B. Ginneken, E. Marchiori and B. Platel, "Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin", NeuroImage: Clinical, 2017;14:391-399. PDF DOI PubMed Cited by
B. van Ginneken, "Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning", Radiological Physics and Technology, 2017;10(1):23-32. PDF DOI PubMed Cited by
L. Hogeweg, C. Sánchez, P. Maduskar, R. Philipsen and B. van Ginneken, "Fast and effective quantification of symmetry in medical images for pathology detection: application to chest radiography", Medical Physics, 2017;44(6):2242-2256. PDF DOI PubMed Cited by
T. Kooi, B. van Ginneken, N. Karssemeijer and A. den Heeten, "Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network", Medical Physics, 2017;44(3):1017-1027. PDF DOI PubMed Cited by
J. Cohen, H. Kim, S. Park, B. van Ginneken, G. Ferretti, C. Lee, J. Goo and C. Park, "Comparison of the effects of model-based iterative reconstruction and filtered back projection algorithms on software measurements in pulmonary subsolid nodules", European Radiology, 2017;27:3266-3274. PDF DOI PubMed Cited by
A. Patel, B. van Ginneken, F. Meijer, E. van Dijk, M. Prokop and R. Manniesing, "Robust Cranial Cavity Segmentation in CT and CT Perfusion Images of Trauma and Suspected Stroke Patients", Medical Image Analysis, 2017;36:216-228. PDF DOI PubMed Cited by
J. Charbonnier, E. van Rikxoort, A. Setio, C. Schaefer-Prokop, B. van Ginneken and F. Ciompi, "Improving Airway Segmentation in Computed Tomography using Leak Detection with Convolutional Networks", Medical Image Analysis, 2017;36:52-60. PDF DOI PubMed Cited by
M. Oei, F. Meijer, W. van der Woude, E. Smit, B. van Ginneken, M. Prokop and R. Manniesing, "Interleaving cerebral CT perfusion with neck CT angiography part I. Proof of concept and accuracy of cerebral perfusion values", European Radiology, 2017;27(6):2649-2656. PDF DOI PubMed Cited by
M. Oei, F. Meijer, W. van der Woude, E. Smit, B. van Ginneken, R. Manniesing and M. Prokop, "Interleaving cerebral CT perfusion with neck CT angiography. Part II: clinical implementation and image quality", European Radiology, 2017;27(6):2411-2418. PDF DOI PubMed Cited by
T. Kooi, G. Litjens, B. van Ginneken, A. Gubern-Mérida, C. Sánchez, R. Mann, A. den Heeten and N. Karssemeijer, "Large scale deep learning for computer aided detection of mammographic lesions", Medical Image Analysis, 2017;35:303-312. PDF DOI PubMed Cited by
O. Mets, P. de Jong, E. Scholten, K. Chung, B. van Ginneken and C. Schaefer-Prokop, "Subsolid pulmonary nodule morphology and associated patient characteristics in a routine clinical population", European Radiology, 2017;27(2):689-696. PDF DOI PubMed Cited by
R. Manniesing, C. Brune, B. van Ginneken and M. Prokop, "A 4D CT Digital Phantom of an Individual Human Brain for Perfusion Analysis", PeerJ, 2016;4:e2683. PDF DOI PubMed Cited by
M. Pompe, E. van Rikxoort, O. Mets, J. Charbonnier, J. Kuhnigk, H. de Koning, M. Oudkerk, R. Vliegenthart, P. Zanen, J. Lammers, B. van Ginneken, P. de Jong and F. Mohamed Hoesein, "Follow-up of CT-derived airway wall thickness: Correcting for changes in inspiration level improves reliability", European Journal of Radiology, 2016;85(11):2008-2013. PDF DOI PubMed Cited by
T. Kockelkorn, P. de Jong, C. Schaefer-Prokop, R. Wittenberg, A. Tiehuis, H. Gietema, J. Grutters, M. Viergever and B. van Ginneken, "Semi-automatic classification of textures in thoracic CT scans", Physics in Medicine and Biology, 2016;61(16):5906-5924. PDF DOI PubMed Cited by
E. Pompe, P. de Jong, E. van Rikxoort, L. Gallardo Estrella, W. de Jong, R. Vliegenthart, M. Oudkerk, C. van der Aalst, B. van Ginneken, J. Lammers and F. Mohamed Hoesein, "Smokers with emphysema and small airway disease on computed tomography have lower bone density", International Journal of Chronic Obstructive Pulmonary Disease, 2016;11:1207-1216. PDF DOI PubMed Cited by
M. van Grinsven, T. Theelen, L. Witkamp, J. van der Heijden, J. van de Ven, C. Hoyng, B. van Ginneken and C. Sánchez, "Automatic differentiation of color fundus images containing drusen or exudates using a contextual spatial pyramid approach", Biomedical Optics Express, 2016;7(3):709-725. PDF DOI PubMed Cited by
G. Litjens, C. Sánchez, N. Timofeeva, M. Hermsen, I. Nagtegaal, I. Kovacs, C. Hulsbergen-van de Kaa, P. Bult, B. van Ginneken and J. van der Laak, "Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis", Nature Scientific Reports, 2016;6:26286. PDF DOI PubMed Cited by
J. Cohen, J. Goo, R. Yoo, S. Park, B. van Ginneken, G. Ferretti, C. Lee and C. Park, "The effect of late-phase contrast enhancement on semi-automatic software measurements of CT attenuation and volume of part-solid nodules in lung adenocarcinomas", European Journal of Radiology, 2016;85(6):1174-1180. PDF DOI PubMed Cited by
J. Melendez, C. Sánchez, R. Philipsen, P. Maduskar, R. Dawson, G. Theron, K. Dheda and B. van Ginneken, "An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information", Nature Scientific Reports, 2016;6:25265. PDF DOI PubMed Cited by
J. Cohen, J. Goo, R. Yoo, C. Park, C. Lee, B. van Ginneken, D. Chung and Y. Kim, "Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas", European Radiology, 2016;26(12):4465-4474. PDF DOI PubMed Cited by
A. Ritchie, C. Sanghera, C. Jacobs, W. Zhang, J. Mayo, H. Schmidt, M. Gingras, S. Pasian, L. Stewart, S. Tsai, D. Manos, J. Seely, P. Burrowes, R. Bhatia, S. Atkar-Khattra, B. van Ginneken, M. Tammemagi, M. Tsao, S. Lam and the Pan-Canadian Early Detection of Lung Cancer Study Group, "Computer Vision Tool and Technician as First Reader of Lung Cancer Screening CT Scans", Journal of Thoracic Oncology, 2016;11(5):709-717. PDF DOI PubMed Cited by
A. Setio, F. Ciompi, G. Litjens, P. Gerke, C. Jacobs, S. van Riel, M. Wille, M. Naqibullah, C. Sánchez and B. van Ginneken, "Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks", IEEE Transactions on Medical Imaging, 2016;35(5):1160-1169. PDF DOI PubMed Cited by
O. Mets, P. de Jong, K. Chung, J. Lammers, B. van Ginneken and C. Schaefer-Prokop, "Fleischner recommendations for the management of subsolid pulmonary nodules: high awareness but limited conformance - a survey study", European Radiology, 2016;26:3840-3849. PDF DOI PubMed Cited by
M. van Grinsven, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez., "Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images", IEEE Transactions on Medical Imaging, 2016;35(5):1273-1284. PDF DOI PubMed Cited by
S. Schalekamp, N. Karssemeijer, A. Cats, B. De Hoop, B. Geurts, O. Berger-Hartog, B. van Ginneken and C. Schaefer-Prokop, "The Effect of Supplementary Bone-Suppressed Chest Radiographs on the Assessment of a Variety of Common Pulmonary Abnormalities: Results of an Observer Study", Journal of Thoracic Imaging, 2016;31(2):119-125. PDF DOI PubMed Cited by
P. Maduskar, R. Philipsen, J. Melendez, E. Scholten, D. Chanda, H. Ayles, C. Sánchez and B. van Ginneken, "Automatic detection of pleural effusion in chest radiographs", Medical Image Analysis, 2016;28:22-32. PDF DOI PubMed Cited by
J. Melendez, B. van Ginneken, P. Maduskar, R. Philipsen, H. Ayles and C. Sánchez, "On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis", IEEE Transactions on Medical Imaging, 2016;35(4):1013-1024. PDF DOI PubMed Cited by
C. Jacobs, E. van Rikxoort, K. Murphy, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database", European Radiology, 2016;26:2139-2147. PDF DOI PubMed Cited by
R. Manniesing, M. Oei, B. van Ginneken and M. Prokop, "Quantitative Dose Dependency Analysis of Whole-Brain CT Perfusion Imaging", Radiology, 2016;278(1):190-197. PDF DOI PubMed Cited by
L. Gallardo-Estrella, D. Lynch, M. Prokop, D. Stinson, J. Zach, P. Judy, B. van Ginneken and E. van Rikxoort, "Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification", European Radiology, 2016;26:478-486. PDF DOI PubMed Cited by
H. Greenspan, R. Summers and B. van Ginneken, "Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique", IEEE Transactions on Medical Imaging, 2016;35(5):1153-1159. PDF DOI
T. Kockelkorn, R. Ramos, J. Ramos, P. de Jong, C. Schaefer-Prokop, R. Wittenberg, A. Tiehuis, J. Grutters, M. Viergever and B. van Ginneken, "Optimization Strategies for Interactive Classification of Interstitial Lung Disease Textures", Frontiers in ICT, 2016;3:33. PDF DOI
A. Steiner, C. Mangu, J. van den Hombergh, H. van Deutekom, B. van Ginneken, P. Clowes, F. Mhimbira, S. Mfinanga, A. Rachow, K. Reither and M. Hoelscher, "Screening for pulmonary tuberculosis in a Tanzanian prison and computer-aided interpretation of chest X-rays", Public Health Action, 2015;5(4):249-254. PDF DOI PubMed Cited by
F. Ciompi, B. de Hoop, S. van Riel, K. Chung, E. Scholten, M. Oudkerk, P. de Jong, M. Prokop and B. van Ginneken, "Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box", Medical Image Analysis, 2015;26(1):195-202. PDF DOI PubMed Cited by
A. Setio, C. Jacobs, J. Gelderblom and B. van Ginneken, "Automatic detection of large pulmonary solid nodules in thoracic CT images", Medical Physics, 2015;42(10):5642-5653. PDF DOI PubMed Cited by
R. Philipsen, C. Sánchez, P. Maduskar, J. Melendez, L. Peters-Bax, J. Peter, R. Dawson, G. Theron, K. Dheda and B. van Ginneken, "Automated chest-radiography as a triage for Xpert testing in resource-constrained settings: a prospective study of diagnostic accuracy and costs", Nature Scientific Reports, 2015;5. PDF DOI PubMed Cited by
E. Smit, E. Vonken, F. Meijer, J. Dankbaar, A. Horsch, B. van Ginneken, B. Velthuis, I. van der Schaaf and M. Prokop, "Timing-Invariant CT Angiography Derived from CT Perfusion Imaging in Acute Stroke: A Diagnostic Performance Study", American Journal of Neuroradiology, 2015;36:1834-1838. PDF DOI PubMed Cited by
S. van Riel, C. Sánchez, A. Bankier, D. Naidich, J. Verschakelen, E. Scholten, P. de Jong, C. Jacobs, E. van Rikxoort, L. Peters-Bax, M. Snoeren, M. Prokop, B. van Ginneken and C. Schaefer-Prokop, "Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management", Radiology, 2015;277(3):863-871. PDF DOI PubMed Cited by
E. Pompe, E. van Rikxoort, M. Schmidt, J. Rühaak, L. Gallardo-Estrella, R. Vliegenthart, M. Oudkerk, H. de Koning, B. van Ginneken, P. de Jong, J. Lammers and F. Mohamed Hoesein, "Parametric response mapping adds value to current computed tomography biomarkers in diagnosing chronic obstructive pulmonary disease", American Journal of Respiratory and Critical Care Medicine, 2015;191(9):1084-1086. PDF DOI PubMed Cited by
R. Philipsen, P. Maduskar, L. Hogeweg, J. Melendez, C. Sánchez and B. van Ginneken, "Localized energy-based normalization of medical images: application to chest radiography", IEEE Transactions on Medical Imaging, 2015;34(9):1965-75. PDF DOI PubMed Cited by
M. Winkler Wille, S. van Riel, Z. Saghir, A. Dirksen, J. Pedersen, C. Jacobs, L. Thomsen, E. Scholten, L. Skovgaard and B. van Ginneken, "Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening Trial", European Radiology, 2015;25:3093-3099. PDF DOI PubMed Cited by
L. Hogeweg, C. Sánchez, P. Maduskar, R. Philipsen, A. Story, R. Dawson, G. Theron, K. Dheda, L. Peters-Bax and B. van Ginneken, "Automatic detection of tuberculosis in chest radiographs using a combination of textural, focal, and shape abnormality analysis", IEEE Transactions on Medical Imaging, 2015;34(12):2429-2442. PDF DOI PubMed Cited by
F. Mohamed Hoesein, P. de Jong, J. Lammers, W. Mali, M. Schmidt, H. de Koning, C. van der Aalst, M. Oudkerk, R. Vliegenthart, H. Groen, B. van Ginneken, E. van Rikxoort and P. Zanen, "Airway wall thickness associated with forced expiratory volume in 1 second decline and development of airflow limitation", European Respiratory Journal, 2015;45(3):644-651. PDF DOI PubMed Cited by
B. Lassen, C. Jacobs, J. Kuhnigk, B. van Ginneken and E. van Rikxoort, "Robust semi-automatic segmentation of pulmonary subsolid nodules in chest computed tomography scans", Physics in Medicine and Biology, 2015;60(3):1307-1323. PDF DOI PubMed Cited by
M. van Grinsven, G. Buitendijk, C. Brussee, B. van Ginneken, C. Hoyng, T. Theelen, C. Klaver and C. Sánchez, "Automatic identification of reticular pseudodrusen using multimodal retinal image analysis", Investigative Ophthalmology and Visual Science, 2015;56(1):633-639. PDF DOI PubMed Cited by
A. Dijkstra, D. Postma, B. van Ginneken, M. Wielpütz, M. Schmidt, N. Becker, M. Owsijewitsch, H. Kauczor, H. de Koning, J. Lammers, M. Oudkerk, C. Brandsma, Y. Bossé, D. Nickle, D. Sin, P. Hiemstra, C. Wijmenga, J. Smolonska, P. Zanen, J. Vonk, M. van den Berge, H. Boezen and H. Groen, "Novel Genes for Airway Wall Thickness Identified with Combined Genome Wide Association and Expression Analyses", American Journal of Respiratory and Critical Care Medicine, 2015;191(5):547-556. PDF DOI PubMed Cited by
C. Jacobs, E. van Rikxoort, E. Scholten, P. de Jong, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Solid, Part-Solid, or Non-solid?: Classification of Pulmonary Nodules in Low-Dose Chest Computed Tomography by a Computer-Aided Diagnosis System", Investigative Radiology, 2015;50(3):168-173. PDF DOI PubMed Cited by
J. Ramos, T. Kockelkorn, I. Ramos, R. Ramos, B. van Ginneken, M. Viergever, A. Campilho and J. Grutters, "Content Based Image Retrieval by Metric Learning from Radiology Reports: Application to Interstitial Lung Diseases", IEEE Journal of Biomedical and Health Informatics, 2015;20(1):281-292. PDF DOI PubMed Cited by
E. Scholten, P. de Jong, B. de Hoop, R. van Klaveren, S. van de Amelsvoort-van Vorst, M. Oudkerk, R. Vliegenthart, H. de Koning, C. van der Aalst, R. Vernhout, H. Groen, J. Lammers, B. van Ginneken, C. Jacobs, W. Mali, N. Horeweg, C. Weenink, E. Thunnissen, M. Prokop and H. Gietema, "Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules?", European Respiratory Journal, 2015;45(3):765-773. PDF DOI PubMed Cited by
F. Ciompi, C. Jacobs, E. Scholten, M. Winkler Wille, P. de Jong, M. Prokop and B. van Ginneken, "Bag of frequencies: a descriptor of pulmonary nodules in Computed Tomography images", IEEE Transactions on Medical Imaging, 2015;34(4):1-12. PDF DOI PubMed Cited by
E. Scholten, P. de Jong, C. Jacobs, B. van Ginneken, S. van Riel, M. Willemink, R. Vliegenthart, M. Oudkerk, H. de Koning, N. Horeweg, M. Prokop, W. Mali and H. Gietema, "Interscan variation of semi-automated volumetry of subsolid pulmonary nodules", European Radiology, 2015;25(4):1040-1047. PDF DOI PubMed Cited by
E. Scholten, C. Jacobs, B. van Ginneken, S. van Riel, R. Vliegenthart, M. Oudkerk, H. de Koning, N. Horeweg, M. Prokop, H. Gietema, W. Mali and P. de Jong, "Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation", European Radiology, 2015;25(2):488-496. PDF DOI PubMed
R. Takx, R. Vliegenthart, F. Mohamed Hoesein, I. Išgum, H. de Koning, W. Mali, C. van der Aalst, P. Zanen, J. Lammers, H. Groen, E. van Rikxoort, M. Schmidt, B. van Ginneken, M. Oudkerk, T. Leiner and P. de Jong, "Pulmonary function and CT biomarkers as risk factors for cardiovascular events in male lung cancer screening participants: the NELSON study", European Radiology, 2015;25(1):65-71. PDF DOI PubMed Cited by
J. Melendez, B. van Ginneken, P. Maduskar, R. Philipsen, K. Reither, M. Breuninger, I. Adetifa, R. Maane, H. Ayles and C. Sánchez, "A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays", IEEE Transactions on Medical Imaging, 2015;34(1):179-192. PDF DOI PubMed Cited by
S. Schalekamp, B. van Ginneken, I. van den Berk, I. Hartmann, M. Snoeren, A. Odink, W. van Lankeren, S. Pegge, L. Schijf, N. Karssemeijer and C. Schaefer-Prokop, "Bone suppression increases the visibility of invasive pulmonary aspergillosis in chest radiographs", PLoS One, 2014;9(10):e108551. PDF DOI PubMed Cited by
M. Breuninger, B. van Ginneken, R. Philipsen, F. Mhimbira, J. Hella, F. Lwilla, J. van den Hombergh, A. Ross, L. Jugheli, D. Wagner and K. Reither, "Diagnostic accuracy of computer-aided detection of pulmonary tuberculosis in chest radiographs: a validation study from sub-saharan Africa", PLoS One, 2014;9(9):e106381. PDF DOI PubMed Cited by
R. Rudyanto, S. Kerkstra, E. van Rikxoort, C. Fetita, P. Brillet, C. Lefevre, W. Xue, X. Zhu, J. Liang, I. Öksüz, D. Ünay, K. Kadipasaoglu, R. Estépar, J. Ross, G. Washko, J. Prieto, M. Hoyos, M. Orkisz, H. Meine, M. Hüllebrand, C. Stöcker, F. Mir, V. Naranjo, E. Villanueva, M. Staring, C. Xiao, B. Stoel, A. Fabijanska, E. Smistad, A. Elster, F. Lindseth, A. Foruzan, R. Kiros, K. Popuri, D. Cobzas, D. Jimenez-Carretero, A. Santos, M. Ledesma-Carbayo, M. Helmberger, M. Urschler, M. Pienn, D. Bosboom, A. Campo, M. Prokop, P. de Jong, C. Ortiz-de-Solorzano, A. Muñoz-Barrutia and B. van Ginneken, "Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: The VESSEL12 study", Medical Image Analysis, 2014;18:1217-1232. PDF DOI PubMed Cited by
F. Mohamed Hoesein, P. de Jong, J. Lammers, W. Mali, O. Mets, M. Schmidt, H. de Koning, C. van der Aalst, M. Oudkerk, R. Vliegenthart, B. van Ginneken, E. van Rikxoort and P. Zanen, "Contribution of CT Quantified Emphysema, Air Trapping and Airway Wall Thickness on Pulmonary Function in Male Smokers With and Without COPD", COPD, 2014;11(5):503-509. PDF DOI PubMed Cited by
T. Kockelkorn, C. Schaefer-Prokop, G. Bozovic, A. Muñoz-Barrutia, E. van Rikxoort, M. Brown, P. de Jong, M. Viergever and B. van Ginneken, "Interactive lung segmentation in abnormal human and animal chest CT scans", Medical Physics, 2014;41(8):081915. PDF DOI PubMed Cited by
J. Melendez, C. Sánchez, B. van Ginneken and N. Karssemeijer, "Improving mass candidate detection in mammograms via feature maxima propagation and local feature selection", Medical Physics, 2014;41(8):081904. PDF DOI PubMed Cited by
P. Maduskar, L. Hogeweg, P. de Jong, L. Peters-Bax, R. Dawson, H. Ayles, C. Sánchez and B. van Ginneken, "Cavity contour segmentation in chest radiographs using supervised learning and dynamic programming", Medical Physics, 2014;41(7):071912-1 - 071912-15. PDF DOI PubMed Cited by
R. van den Boom, R. Manniesing, M. Oei, W. van der Woude, E. Smit, H. Laue, B. van Ginneken and M. Prokop, "A 4D Digital Phantom for Patient-Specific Simulation of Brain CT Perfusion Protocols", Medical Physics, 2014;41:071907-1 - 071907-9. PDF DOI PubMed Cited by
M. Muyoyeta, P. Maduskar, M. Moyo, N. Kasese, D. Milimo, R. Spooner, N. Kapata, L. Hogeweg, B. van Ginneken and H. Ayles, "The Sensitivity and Specificity of Using a Computer Aided Diagnosis Program for Automatically Scoring Chest X-Rays of Presumptive TB Patients Compared with Xpert MTB/RIF in Lusaka Zambia", PLoS One, 2014;9(4):e93757. PDF DOI PubMed Cited by
S. Schalekamp, B. van Ginneken, E. Koedam, M. Snoeren, A. Tiehuis, R. Wittenberg, N. Karssemeijer and C. Schaefer-Prokop, "Computer-aided detection improves detection of pulmonary nodules in chest radiographs beyond the support by bone-suppressed images", Radiology, 2014;272(1):252-261. PDF DOI PubMed Cited by
S. Schalekamp, B. van Ginneken, E. Koedam, M. Snoeren, A. Tiehuis, R. Wittenberg, N. Karssemeijer and C. Schaefer-Prokop, "Computer aided detection improves detection of pulmonary nodules in chest radiographs beyond the support by bone suppressed images", Radiology, 2014;272(1):252-261. PDF DOI PubMed
S. Schalekamp, B. van Ginneken, B. Heggelman, M. Imhof-Tas, I. Somers, M. Brink, M. Spee, C. Schaefer-Prokop and N. Karssemeijer, "New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs", British Journal of Radiology, 2014;87(1036):20140015. PDF DOI PubMed Cited by
S. Muenzing, B. van Ginneken, M. Viergever and J. Pluim, "DIRBoost-An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration", Medical Image Analysis, 2014;18(3):449-459. PDF DOI PubMed Cited by
S. Schalekamp, B. van Ginneken, N. Karssemeijer and C. Schaefer-Prokop, "Chest radiography: new technological developments and their applications", Seminars in Respiratory and Critical Care Medicine, 2014;35(1):3-16. PDF DOI PubMed Cited by
C. Jacobs, E. van Rikxoort, T. Twellmann, E. Scholten, P. de Jong, J. Kuhnigk, M. Oudkerk, H. de Koning, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Automatic Detection of Subsolid Pulmonary Nodules in Thoracic Computed Tomography Images", Medical Image Analysis, 2014;18:374-384. PDF DOI PubMed Cited by
G. Litjens, R. Toth, W. van de Ven, C. Hoeks, S. Kerkstra, B. van Ginneken, G. Vincent, G. Guillard, N. Birbeck, J. Zhang, R. Strand, F. Malmberg, Y. Ou, C. Davatzikos, M. Kirschner, F. Jung, J. Yuan, W. Qiu, Q. Gao, P. Edwards, B. Maan, F. van der Heijden, S. Ghose, J. Mitra, J. Dowling, D. Barratt, H. Huisman and A. Madabhushi, "Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge", Medical Image Analysis, 2014;18(2):359-373. PDF DOI PubMed Cited by
F. Mohamed Hoesein, M. Schmidt, O. Mets, H. Gietema, J. Lammers, P. Zanen, H. de Koning, C. van der Aalst, M. Oudkerk, R. Vliegenthart, I. Išgum, M. Prokop, B. van Ginneken, E. van Rikxoort and P. de Jong, "Discriminating dominant computed tomography phenotypes in smokers without or with mild COPD", Respiratory Medicine, 2014;108:136-143. PDF DOI PubMed Cited by
S. Schalekamp, B. van Ginneken, C. Schaefer-Prokop and N. Karssemeijer, "Influence of study design in receiver operating characteristics studies: sequential versus independent reading", Journal of Medical Imaging, 2014;1(1):015501-015501. PDF DOI Cited by
E. Scholten, B. de Hoop, C. Jacobs, S. van de Amelsvoort-van Vorst, R. van Klaveren, M. Oudkerk, R. Vliegenthart, H. de Koning, C. van der Aalst, W. Mali, H. Gietema, M. Prokop, B. van Ginneken and P. de Jong, "Semi-automatic quantification of subsolid pulmonary nodules: comparison with manual measurements", PLoS One, 2013;8(11):e80249. PDF DOI PubMed Cited by
P. Maduskar, M. Muyoyeta, H. Ayles, L. Hogeweg, L. Peters-Bax and B. van Ginneken, "Detection of tuberculosis with digital chest radiography: automatic reading versus interpretation by clinical officers", International Journal of Tuberculosis and Lung Disease, 2013;17(12):1613-1620. PDF DOI PubMed
S. Schalekamp, B. van Ginneken, L. Meiss, L. Peters-Bax, L. Quekel, M. Snoeren, A. Tiehuis, R. Wittenberg, N. Karssemeijer and C. Schaefer-Prokop, "Bone suppressed images improve radiologists' detection performance for pulmonary nodules in chest radiographs", European Journal of Radiology, 2013;82(12):2399-2405. PDF DOI PubMed Cited by
E. van Rikxoort and B. van Ginneken, "Automated segmentation of pulmonary structures in thoracic computed tomography scans: a review", Physics in Medicine and Biology, 2013;58:R187-R220. PDF DOI PubMed Cited by
E. Scholten, C. Jacobs, B. van Ginneken, M. Willemink, J. Kuhnigk, P. van Ooijen, M. Oudkerk, W. Mali and P. de Jong, "Computer-Aided Segmentation and Volumetry of Artificial Ground-Glass Nodules at Chest CT", American Journal of Roentgenology, 2013;201(2):295-300. PDF DOI PubMed Cited by
L. Hogeweg, C. Sánchez and B. van Ginneken, "Suppression of translucent elongated structures: applications in chest radiography", IEEE Transactions on Medical Imaging, 2013;32(11):2099-2113. PDF DOI PubMed Cited by
L. Hogeweg, C. Sánchez, J. Melendez, P. Maduskar, A. Story, A. Hayward and B. van Ginneken, "Foreign object detection and removal to improve automated analysis of chest radiographs", Medical Physics, 2013;40(7):071901. PDF DOI PubMed Cited by
F. Mohamed Hoesein, P. de Jong, J. Lammers, W. Mali, M. Schmidt, H. de Koning, C. van der Aalst, M. Oudkerk, R. Vliegenthart, B. van Ginneken, E. van Rikxoort and P. Zanen, "Computed tomography structural lung changes in discordant airflow obstruction", PLoS One, 2013;8(6):e65177. PDF DOI PubMed
E. Smit, E. Vonken, T. van Seeters, J. Dankbaar, I. van der Schaaf, L. Kappelle, B. van Ginneken, B. Velthuis and M. Prokop, "Timing-Invariant Imaging of Collateral Vessels in Acute Ischemic Stroke", Stroke, 2013;44:2194-2199. PDF DOI PubMed Cited by
O. Mets, M. Schmidt, C. Buckens, M. Gondrie, I. Išgum, M. Oudkerk, R. Vliegenthart, H. de Koning, C. van der Aalst, M. Prokop, J. Lammers, P. Zanen, F. Mohamed Hoesein, W. Mali, B. van Ginneken, E. van Rikxoort and P. de Jong, "Diagnosis of chronic obstructive pulmonary disease in lung cancer screening Computed Tomography scans: independent contribution of emphysema, air trapping and bronchial wall thickening", Respiratory Research, 2013;14(1):59. PDF DOI PubMed Cited by
F. Mohamed Hoesein, P. Zanen, P. de Jong, B. van Ginneken, H. Boezen, H. Groen, M. Oudkerk, H. de Koning, D. Postma and J. Lammers, "Rate of progression of CT-quantified emphysema in male current and ex-smokers: a follow-up study", Respiratory Research, 2013;14(1):55. PDF DOI PubMed Cited by
O. Mets, P. de Jong, B. van Ginneken, C. Kruitwagen, M. Prokop, M. Oudkerk, J. Lammers and P. Zanen, "CT Air Trapping Is Independently Associated with Lung Function Reduction over Time", PLoS One, 2013;8(4):e61783. PDF DOI PubMed Cited by
E. Scholten, W. Mali, M. Prokop, B. van Ginneken, R. Glandorf, R. van Klaveren, M. Oudkerk and P. de Jong, "Non-solid lung nodules on low-dose computed tomography: comparison of detection rate between 3 visualization techniques", Cancer Imaging, 2013;13(2):150-154. PDF DOI PubMed Cited by
M. van Grinsven, Y. Lechanteur, J. van de Ven, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic Drusen Quantification and Risk Assessment of Age-related Macular Degeneration on Color Fundus Images", Investigative Ophthalmology and Visual Science, 2013;54(4):3019-3027. PDF DOI PubMed Cited by
N. Fens, A. van Rossum, P. Zanen, B. van Ginneken, R. van Klaveren, A. Zwinderman and P. Sterk, "Subphenotypes of Mild-to-Moderate COPD by Factor and Cluster Analysis of Pulmonary Function, CT Imaging and Breathomics in a Population-Based Survey", COPD, 2013;10:277-285. PDF DOI PubMed Cited by
A. Dijkstra, D. Postma, N. Ten Hacken, J. Vonk, M. Oudkerk, P. van Ooijen, P. Zanen, F. Mohamed Hoesein, B. van Ginneken, M. Schmidt and H. Groen, "Low-dose CT measurements of airway dimensions and emphysema associated with airflow limitation in heavy smokers: a cross sectional study", Respiratory Research, 2013;14(11):1-9. PDF DOI PubMed Cited by
B. Lassen, E. van Rikxoort, M. Schmidt, S. Kerkstra, B. van Ginneken and J. Kuhnigk, "Automatic segmentation of the pulmonary lobes from chest CT scans based on fissures, vessels, and bronchi", IEEE Transactions on Medical Imaging, 2013;32(2):210-222. PDF DOI PubMed Cited by
O. Mets, P. Zanen, J. Lammers, I. Išgum, H. Gietema, B. van Ginneken, M. Prokop and P. de Jong, "Early Identification of Small Airways Disease on Lung Cancer Screening CT: Comparison of Current Air Trapping Measures", Lung, 2012;190:629-633. PDF DOI PubMed Cited by
L. Hogeweg, C. Sánchez, P. de Jong, P. Maduskar and B. van Ginneken, "Clavicle segmentation in chest radiographs", Medical Image Analysis, 2012;16(8):1490 - 1502. PDF DOI PubMed Cited by
S. Muenzing, B. van Ginneken, K. Murphy and J. Pluim, "Supervised Quality Assessment Of Medical Image Registration: Application to intra-patient CT lung registration", Medical Image Analysis, 2012;16:1521-1531. PDF DOI PubMed Cited by
I. Išgum, M. Prokop, M. Niemeijer, M. Viergever and B. van Ginneken, "Automatic coronary calcium scoring in low-dose chest computed tomography", IEEE Transactions on Medical Imaging, 2012;31:2322 - 2334. PDF DOI PubMed Cited by
B. de Hoop, B. van Ginneken, H. Gietema and M. Prokop, "Pulmonary Perifissural Nodules on CT Scans: Rapid Growth Is Not a Predictor of Malignancy", Radiology, 2012;265(2):611-616. PDF DOI PubMed Cited by
P. Lo, B. van Ginneken, J. Reinhardt, Y. Tarunashree, P. de Jong, B. Irving, C. Fetita, M. Ortner, R. Pinho, J. Sijbers, M. Feuerstein, A. Fabijanska, C. Bauer, R. Beichel, C. Mendoza, R. Wiemker, J. Lee, A. Reeves, S. Born, O. Weinheimer, E. van Rikxoort, J. Tschirren, K. Mori, B. Odry, D. Naidich, I. Hartmann, E. Hoffman, M. Prokop, J. Pedersen and M. de Bruijne, "Extraction of Airways from CT (EXACT'09)", IEEE Transactions on Medical Imaging, 2012;31(11):2093-2107. PDF DOI PubMed Cited by
O. Mets, R. van Hulst, C. Jacobs, B. van Ginneken and P. de Jong, "Normal Range of Emphysema and Air Trapping on CT in Young Men", American Journal of Roentgenology, 2012;199(2):336-340. PDF DOI PubMed Cited by
F. Mohamed Hoesein, P. Zanen, H. Boezen, H. Groen, B. van Ginneken, P. de Jong, D. Postma and J. Lammers, "Lung function decline in heavy male smokers relates to baseline airflow obstruction severity", Chest, 2012;142(6):1530-1538. PDF DOI PubMed
A. Mendrik, E. Vonken, G. de Kort, B. van Ginneken, E. Smit, M. Viergever and M. Prokop, "Improved Arterial Visualization in Cerebral CT Perfusion-Derived Arteriograms Compared with Standard CT Angiography: A Visual Assessment Study", American Journal of Neuroradiology, 2012;33(11):2171-2177. PDF DOI PubMed Cited by
K. Murphy, J. Pluim, E. van Rikxoort, P. de Jong, B. de Hoop, H. Gietema, O. Mets, M. de Bruijne, P. Lo, M. Prokop and B. van Ginneken, "Toward automatic regional analysis of pulmonary function using inspiration and expiration thoracic CT", Medical Physics, 2012;39(3):1650-1662. PDF DOI PubMed Cited by
P. Jacobs, M. Gondrie, Y. van der Graaf, H. de Koning, I. Išgum, B. van Ginneken and W. Mali, "Coronary Artery Calcium Can Predict All-Cause Mortality and Cardiovascular Events on Low-Dose CT Screening for Lung Cancer", American Journal of Roentgenology, 2012;198(3):505-511. PDF DOI PubMed Cited by
E. Smit, E. Vonken, I. van der Schaaf, A. Mendrik, J. Dankbaar, A. Horsch, T. van Seeters, B. van Ginneken and M. Prokop, "Timing-Invariant Reconstruction for Deriving High-quality CT Angiographic Data from Cerebral CT Perfusion Data", Radiology, 2012;263:216-225. PDF DOI PubMed Cited by
F. Mohamed Hoesein, E. van Rikxoort, B. van Ginneken, P. de Jong, M. Prokop, J. Lammers and P. Zanen, "CT-quantified emphysema distribution is associated with lung function decline", European Respiratory Journal, 2012;40(4):844-850. PDF DOI PubMed Cited by
O. Mets, P. de Jong, B. van Ginneken, H. Gietema and J. Lammers, "Quantitative Computed Tomography in COPD: Possibilities and Limitations", Lung, 2012;190:133-145. PDF DOI PubMed Cited by
E. van Rikxoort, J. Goldin, F. Abtin, H. Kim, P. Lu, B. van Ginneken, G. Shaw, M. Galperin-Aizenberg and M. Brown, "A method for the automatic quantification of the completeness of pulmonary fissures: evaluation in a database of subjects with severe emphysema", European Radiology, 2012;22(2):302-309. PDF DOI PubMed Cited by
O. Mets, K. Murphy, P. Zanen, H. Gietema, J. Lammers, B. van Ginneken, M. Prokop and P. de Jong, "The relationship between lung function impairment and quantitative computed tomography in chronic obstructive pulmonary disease", European Radiology, 2012;22(1):120-128. PDF DOI PubMed Cited by
C. Sánchez, M. Niemeijer, I. Išgum, A. Dumitrescu, M. Suttorp-Schulten, M. Abràmoff and B. van Ginneken, "Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans", Medical Image Analysis, 2012;16(1):50-62. PDF DOI PubMed Cited by
B. van Ginneken, C. Schaefer-Prokop and M. Prokop, "Computer-aided Diagnosis: how to Move from the Laboratory to the Clinic", Radiology, 2011;261(3):719-732. PDF DOI PubMed Cited by
O. Mets, C. Buckens, P. Zanen, I. Išgum, B. van Ginneken, M. Prokop, H. Gietema, J. Lammers, R. Vliegenthart, M. Oudkerk, R. van Klaveren, H. de Koning, W. Mali and P. de Jong, "Identification of Chronic Obstructive Pulmonary Disease in Lung Cancer Screening Computed Tomographic Scans", Journal of the American Medical Association, 2011;306(16):1775-1781. PDF DOI PubMed Cited by
M. Niemeijer, X. Xu, A. Dumitrescu, P. Gupta, B. van Ginneken, J. Folk and M. Abràmoff, "Automated measurement of the arteriolar-to-venular width ratio in digital color fundus photographs", IEEE Transactions on Medical Imaging, 2011;31(11):1941-1950. PDF DOI PubMed Cited by
A. Mendrik, E. Vonken, B. van Ginneken, H. de Jong, A. Riordan, T. van Seeters, E. Smit, M. Viergever and M. Prokop, "TIPS bilateral noise reduction in 4D CT perfusion scans produces high-quality cerebral blood flow maps", Physics in Medicine and Biology, 2011;56:3857-3872. PDF DOI PubMed Cited by
K. Murphy, B. van Ginneken, J. Reinhardt, S. Kabus, K. Ding, X. Deng, K. Cao, K. Du, G. Christensen, V. Garcia, T. Vercauteren, N. Ayache, O. Commowick, G. Malandain, B. Glocker, N. Paragios, N. Navab, V. Gorbunova, J. Sporring, M. de Bruijne, X. Han, M. Heinrich, J. Schnabel, M. Jenkinson, C. Lorenz, M. Modat, J. McClelland, S. Ourselin, S. Muenzing, M. Viergever, D. Nigris, D. Collins, T. Arbel, M. Peroni, R. Li, G. Sharp, A. Schmidt-Richberg, J. Ehrhardt, R. Werner, D. Smeets, D. Loeckx, G. Song, N. Tustison, B. Avants, J. Gee, M. Staring, S. Klein, B. Stoel, M. Urschler, M. Werlberger, J. Vandemeulebroucke, S. Rit, D. Sarrut and J. Pluim, "Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge", IEEE Transactions on Medical Imaging, 2011;31(11):1901-1920. PDF DOI PubMed Cited by
F. Mohamed Hoesein, P. Zanen, B. van Ginneken, R. van Klaveren and J. Lammers, "Association of the transfer coefficient of the lung for carbon monoxide with emphysema progression in male smokers", European Respiratory Journal, 2011;38:1012-1018. PDF DOI PubMed Cited by
C. Sánchez, M. Niemeijer, A. Dumitrescu, M. Suttorp-Schulten, M. Abràmoff and B. van Ginneken, "Evaluation of a Computer-Aided Diagnosis system for Diabetic Retinopathy screening on public data", Investigative Ophthalmology and Visual Science, 2011;52:4866-4871. PDF DOI PubMed Cited by
F. Mohamed Hoesein, B. de Hoop, P. Zanen, H. Gietema, C. Kruitwagen, B. van Ginneken, I. Išgum, C. Mol, R. van Klaveren, A. Dijkstra, H. Groen, H. Boezen, D. Postma, M. Prokop and J. Lammers, "CT-quantified emphysema in male heavy smokers: association with lung function decline", Thorax, 2011;66:782-787. PDF DOI PubMed Cited by
P. de Jong, J. Achterberg, O. Kessels, B. van Ginneken, L. Hogeweg, F. Beek and S. Terheggen-Lagro, "Modified Chrispin-Norman chest radiography score for cystic fibrosis: observer agreement and correlation with lung function", European Radiology, 2011;21:722-729. PDF DOI PubMed Cited by
M. Niemeijer, M. Loog, M. Abràmoff, M. Viergever, M. Prokop and B. van Ginneken, "On Combining Computer-Aided Detection Systems", IEEE Transactions on Medical Imaging, 2011;30(2):215-223. PDF DOI PubMed Cited by
K. Murphy, B. van Ginneken, S. Klein, M. Staring, B. de Hoop, M. Viergever and J. Pluim, "Semi-automatic construction of reference standards for evaluation of image registration", Medical Image Analysis, 2011;15(1):71-84. PDF DOI PubMed Cited by
B. de Hoop, D. de Boo, H. Gietema, F. van Hoorn, B. Mearadji, L. Schijf, B. van Ginneken, M. Prokop and C. Schaefer-Prokop, "Computer-aided Detection of Lung Cancer on Chest Radiographs: Effect on Observer Performance", Radiology, 2010;257(2):532-540. PDF DOI PubMed Cited by
A. Mendrik, E. Vonken, B. van Ginneken, E. Smit, A. Waaijer, G. Bertolini, M. Viergever and M. Prokop, "Automatic segmentation of intracranial arteries and veins in four-dimensional cerebral CT perfusion scans", Medical Physics, 2010;37(6):2956-2966. PDF DOI PubMed Cited by
B. van Ginneken, S. Armato, B. de Hoop, S. van de Vorst, T. Duindam, M. Niemeijer, K. Murphy, A. Schilham, A. Retico, M. Fantacci, N. Camarlinghi, F. Bagagli, I. Gori, T. Hara, H. Fujita, G. Gargano, R. Belloti, F. Carlo, R. Megna, S. Tangaro, L. Bolanos, P. Cerello, S. Cheran, E. Torres and M. Prokop, "Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: the ANODE09 study", Medical Image Analysis, 2010;14:707-722. PDF DOI PubMed Cited by
B. de Hoop, C. Schaefer-Prokop, H. Gietema, P. de Jong, B. van Ginneken, R. van Klaveren and M. Prokop, "Screening for lung cancer with digital chest radiography: sensitivity and number of secondary work-up CT examinations", Radiology, 2010;255(2):629-637. PDF DOI PubMed Cited by
P. Jacobs, I. Išgum, M. Gondrie, W. Mali, B. van Ginneken, M. Prokop and Y. der Graaf, "Coronary artery calcification scoring in low-dose ungated CT screening for lung cancer: interscan agreement", American Journal of Roentgenology, 2010;194(5):1244-1249. PDF DOI PubMed Cited by
E. van Rikxoort, M. Prokop, B. de Hoop, M. Viergever, J. Pluim and B. van Ginneken, "Automatic Segmentation of Pulmonary Lobes Robust Against Incomplete Fissures", IEEE Transactions on Medical Imaging, 2010;29(6):1286-1296. PDF DOI PubMed Cited by
I. Išgum, A. Rutten, M. Prokop, M.Staring, S. Klein, J. Pluim, M. Viergever and B. van Ginneken, "Automated aortic calcium scoring on low-dose chest computed tomography", Medical Physics, 2010;37(2):714-723. PDF DOI PubMed Cited by
Y. Arzhaeva, M. Prokop, K. Murphy, E. van Rikxoort, P. de Jong, H. Gietema, M. Viergever and B. van Ginneken, "Automated estimation of progression of interstitial lung disease in CT images", Medical Physics, 2010;37(1):63-73. PDF DOI PubMed Cited by
E. van Rikxoort, I. Išgum, Y. Arzhaeva, M. Staring, S. Klein, M. Viergever, J. Pluim and B. van Ginneken, "Adaptive local multi-atlas segmentation: application to the heart and the caudate nucleus", Medical Image Analysis, 2010;14(1):39-49. PDF DOI PubMed Cited by
P. Jacobs, M. Prokop, Y. van der Graaf, M. Gondrie, K. Janssen, H. de Koning, I. Išgum, R. van Klaveren, M. Oudkerk, B. van Ginneken and W. Mali, "Comparing coronary artery calcium and thoracic aorta calcium for prediction of all-cause mortality and cardiovascular events on low-dose non-gated computed tomography in a high-risk population of heavy smokers", Atherosclerosis, 2010;209(2):455-462. PDF DOI PubMed Cited by
M. Niemeijer, B. van Ginneken, M. Cree, A. Mizutani, G. Quellec, C. Sánchez, B. Zhang, R. Hornero, M. Lamard, C. Muramatsu, X. Wu, G. Cazuguel, J. You, A. Mayo, Q. Li, Y. Hatanaka, B. Cochener, C. Roux, F. Karray, M. Garcia, H. Fujita and M. Abràmoff, "Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs", IEEE Transactions on Medical Imaging, 2010;29(1):185-195. PDF DOI PubMed Cited by
H. Gietema, P. Zanen, A. Schilham, B. van Ginneken, R. van Klaveren, M. Prokop and J. Lammers, "Distribution of emphysema in heavy smokers: impact on pulmonary function", Respiratory Medicine, 2010;104(1):76-82. PDF DOI PubMed Cited by
H. Gietema, P. Zanen, A. Schilham, B. van Ginneken, R. van Klaveren, M. Prokop and J. Lammers, "Reply to Hochheggar et al", Respiratory Medicine, 2010;104(7):1074. PDF DOI
X. Artaechevarria, D. Pérez-Martin, M. Ceresa, G. de Biurrun, D. Blanco, L. Montuenga, B. van Ginneken, C. Ortiz-de-Solórzano and A. Muñoz-Barrutia, "Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT", Physics in Medicine and Biology, 2009;54(22):7009-7024. PDF DOI PubMed Cited by
A. Mendrik, E. Vonken, A. Rutten, M. Viergever and B. van Ginneken, "Noise reduction in computed tomography scans using 3-d anisotropic hybrid diffusion with continuous switch", IEEE Transactions on Medical Imaging, 2009;28(10):1585-1594. PDF DOI PubMed Cited by
M. Niemeijer, M. Abràmoff and B. van Ginneken, "Fast detection of the optic disc and fovea in color fundus photographs", Medical Image Analysis, 2009;13(6):859-870. PDF DOI PubMed Cited by
D. de Boo, M. Prokop, M. Uffmann, B. van Ginneken and C. Schaefer-Prokop, "Computer-aided detection (CAD) of lung nodules and small tumours on chest radiographs", European Journal of Radiology, 2009;72(2):218-225. PDF DOI PubMed Cited by
E. van Rikxoort, B. de Hoop, M. Viergever, M. Prokop and B. van Ginneken, "Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection", Medical Physics, 2009;36(7):2934-2947. PDF DOI PubMed Cited by
K. Murphy, B. van Ginneken, A. Schilham, B. de Hoop, H. Gietema and M. Prokop, "A Large Scale Evaluation of Automatic Pulmonary Nodule Detection in Chest CT using Local Image Features and k-Nearest-Neighbour Classification", Medical Image Analysis, 2009;13(5):757-770. PDF DOI PubMed Cited by
B. van Ginneken, L. Hogeweg and M. Prokop, "Computer-aided diagnosis in chest radiography: beyond nodules", European Journal of Radiology, 2009;72(2):226-230. PDF DOI PubMed Cited by
E. van Rikxoort, B. de Hoop, S. van de Vorst, M. Prokop and B. van Ginneken, "Automatic segmentation of pulmonary segments from volumetric chest CT scans", IEEE Transactions on Medical Imaging, 2009;28(4):621-630. PDF DOI PubMed Cited by
T. Heimann, B. van Ginneken, M. Styner, Y. Arzhaeva, V. Aurich, C. Bauer, A. Beck, C. Becker, R. Beichel, G. Bekes, F. Bello, G. Binnig, H. Bischof, A. Bornik, P. Cashman, Y. Chi, A. Cordova, B. Dawant, M. Fidrich, J. Furst, D. Furukawa, L. Grenacher, J. Hornegger, D. Kainmuller, R. Kitney, H. Kobatake, H. Lamecker, T. Lange, J. Lee, B. Lennon, R. Li, S. Li, H. Meinzer, G. Nemeth, D. Raicu, A. Rau, E. van Rikxoort, M. Rousson, L. Rusko, K. Saddi, G. Schmidt, D. Seghers, A. Shimizu, P. Slagmolen, E. Sorantin, G. Soza, R. Susomboon, J. Waite, A. Wimmer and I. Wolf, "Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets", IEEE Transactions on Medical Imaging, 2009;28(8):1251-1265. PDF DOI PubMed Cited by
M. Niemeijer, M. Abràmoff and B. van Ginneken, "Information fusion for diabetic retinopathy CAD in digital color fundus photographs", IEEE Transactions on Medical Imaging, 2009;28(5):775-785. PDF DOI PubMed Cited by
I. Išgum, M. Staring, A. Rutten, M. Prokop, M. Viergever and B. van Ginneken, "Multi-Atlas-Based Segmentation With Local Decision Fusion - Application to Cardiac and Aortic Segmentation in CT Scans", IEEE Transactions on Medical Imaging, 2009;28:1000-1010. PDF DOI PubMed Cited by
M. Staring, J. Pluim, B. de Hoop, S. Klein, B. van Ginneken, H. Gietema, G. Nossent, C. Schaefer-Prokop, S. van de Vorst and M. Prokop, "Image Subtraction Facilitates Assessment of Volume and Density Change in Ground-Glass Opacities in Chest CT", Investigative Radiology, 2009;44(2):61-66. PDF DOI PubMed Cited by
B. de Hoop, H. Gietema, B. van Ginneken, P. Zanen, G. Groenewegen and M. Prokop, "A comparison of six software packages for evaluation of solid lung nodules using semi-automated volumetry: what is the minimum increase in size to detect growth in repeated CT examinations", European Radiology, 2009;19(4):800-808. PDF DOI PubMed Cited by
Y. Arzhaeva, D. Tax and B. van Ginneken, "Dissimilarity-based classification in the absence of local ground truth: application to the diagnostic interpretation of chest radiographs", Pattern Recognition, 2009;42(9):1768-1776. PDF DOI Cited by
S. Armato and B. van Ginneken, "Anniversary paper: image processing and manipulation through the pages of Medical Physics", Medical Physics, 2008;35(10):4488-4500. PDF DOI PubMed Cited by
B. Stoel, D. Parr, E. Bakker, H. Putter, J. Stolk, H. Gietema, A. Schilham, B. van Ginneken, R. van Klaveren, J. Lammers and M. Prokop, "Can the extent of low-attenuation areas on CT scans really demonstrate changes in the severity of emphysema?", Radiology, 2008;247(1):293-4; author reply 294. PDF DOI PubMed Cited by
E. van Rikxoort, B. van Ginneken, M. Klik and M. Prokop, "Supervised enhancement filters: application to fissure detection in chest CT scans", IEEE Transactions on Medical Imaging, 2008;27(1):1-10. PDF DOI PubMed Cited by
M. Abràmoff, M. Niemeijer, M. Suttorp-Schulten, M. Viergever, S. Russell and B. van Ginneken, "Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes", Diabetes Care, 2008;31(2):193-198. PDF DOI PubMed Cited by
B. van Ginneken, "Computer-Aided Diagnosis in Thoracic Computed Tomography", Imaging Decisions MRI, 2008;12(3):11-22. PDF DOI Cited by
Y. Arzhaeva, M. Prokop, D. Tax, P. de Jong, C. Schaefer-Prokop and B. van Ginneken, "Computer-aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography", Medical Physics, 2007;34(12):4798-4809. PDF DOI PubMed Cited by
H. Gietema, A. Schilham, B. van Ginneken, R. van Klaveren, J. Lammers and M. Prokop, "Monitoring of smoking-induced emphysema with CT in a lung cancer screening setting: detection of real increase in extent of emphysema", Radiology, 2007;244(3):890-897. PDF DOI PubMed Cited by
I. Išgum, A. Rutten, M. Prokop and B. van Ginneken, "Detection of coronary calcifications from computed tomography scans for automated risk assessment of coronary artery disease", Medical Physics, 2007;34(4):1450-1461. PDF DOI PubMed Cited by
M. Niemeijer, B. van Ginneken, S. Russel, M. Suttorp-Schulten and M. Abràmoff, "Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis", Investigative Ophthalmology and Visual Science, 2007;48(5):2260-2267. PDF DOI PubMed Cited by
M. Niemeijer, M. Abràmoff and B. van Ginneken, "Segmentation of the optic disc, macula and vascular arch in fundus photographs", IEEE Transactions on Medical Imaging, 2007;26(1):116-127. PDF DOI PubMed Cited by
J. Staal, B. van Ginneken and M. Viergever, "Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data", Medical Image Analysis, 2007;11(1):35-46. PDF DOI PubMed Cited by
M. Niemeijer, M. Abràmoff and B. van Ginneken, "Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening", Medical Image Analysis, 2006;10(6):888-898. PDF DOI PubMed Cited by
I. Sluimer, M. Prokop, I. Hartmann and B. van Ginneken, "Automated classification of hyperlucency, fibrosis, ground glass, solid and focal lesions in high resolution CT of the lung", Medical Physics, 2006;33(7):2610-2620. PDF DOI PubMed Cited by
M. Loog, B. van Ginneken and A. Schilham, "Filter learning: application to suppression of bony structures from chest radiographs", Medical Image Analysis, 2006;10:826-840. PDF DOI PubMed Cited by
M. Loog and B. van Ginneken, "Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification", IEEE Transactions on Medical Imaging, 2006;25:602-11. PDF DOI PubMed Cited by
A. Schilham, B. van Ginneken, H. Gietema and M. Prokop, "Local noise weighted filtering for emphysema scoring of low-dose CT images", IEEE Transactions on Medical Imaging, 2006;25:451-463. PDF DOI PubMed Cited by
I. Sluimer, A. Schilham, M. Prokop and B. van Ginneken, "Computer analysis of computed tomography scans of the lung: a survey", IEEE Transactions on Medical Imaging, 2006;25(4):385-405. PDF DOI PubMed Cited by
A. Schilham, B. van Ginneken and M. Loog, "A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database", Medical Image Analysis, 2006;10:247-258. PDF DOI PubMed Cited by
B. van Ginneken, M. Stegmann and M. Loog, "Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database", Medical Image Analysis, 2006;10(1):19-40. PDF DOI PubMed Cited by
J. Reinhardt, B. van Ginneken and M. Sonka, "Special Issue on Pulmonary Imaging", IEEE Transactions on Medical Imaging, 2006;25(4):381-384. PDF DOI Cited by
I. Sluimer, M. Prokop and B. van Ginneken, "Toward automated segmentation of the pathological lung in CT", IEEE Transactions on Medical Imaging, 2005;24(8):1025-1038. PDF DOI PubMed Cited by
M. Niemeijer, B. van Ginneken, J. Staal, M. Suttorp-Schulten and M. Abràmoff, "Automatic Detection of Red Lesions in Digital Color Fundus Photographs", IEEE Transactions on Medical Imaging, 2005;24(5):584-592. PDF DOI PubMed Cited by
M. Loog, B. van Ginneken and R. Duin, "Dimensionality reduction of image features using the canonical contextual correlation projection", Pattern Recognition, 2005;38:2409-2418. PDF DOI Cited by
J. Staal, M. Abràmoff, M. Niemeijer, M. Viergever and B. van Ginneken, "Ridge Based Vessel Segmentation in Color Images of the Retina", IEEE Transactions on Medical Imaging, 2004;23(4):501-509. PDF DOI PubMed Cited by
M. de Bruijne, B. van Ginneken, M. Viergever and W. Niessen, "Interactive segmentation of abdominal aortic aneurysms in CTA images", Medical Image Analysis, 2004;8(2):127-138. PDF DOI PubMed Cited by
I. Išgum, B. van Ginneken and M. Olree, "Automatic detection of calcifications in the aorta from CT scans of the abdomen: 3D computer-aided diagnosis", Academic Radiology, 2004;11:247-257. PDF DOI PubMed Cited by
I. Sluimer, P. van Waes, M. Viergever and B. van Ginneken, "Computer-aided diagnosis in high-resolution CT of the lungs", Medical Physics, 2003;30(12):3081-3090. PDF DOI PubMed Cited by
I. Išgum and B. van Ginneken, "CT segmentation programs extract calcifications", Diagnostic Imaging Europe, 2003;19(6):11-16. PDF Cited by
B. van Ginneken and B. ter Romeny, "Multi-scale texture classification from generalized locally orderless images", Pattern Recognition, 2003;36:899-911. PDF DOI Cited by
B. van Ginneken, "Computerized detection of interstitial disease in chest radiographs", Medical Imaging Technology, 2003;21:15-20. PDF DOI
B. van Ginneken, A. Frangi, J. Staal, B. ter Romeny and M. Viergever, "Active shape model segmentation with optimal features", IEEE Transactions on Medical Imaging, 2002;21(8):924-933. PDF DOI PubMed Cited by
B. van Ginneken, S. Katsuragawa, B. ter Haar Romeny, K. Doi and M. Viergever, "Automatic detection of abnormalities in chest radiographs using local texture analysis", IEEE Transactions on Medical Imaging, 2002;21(2):139-149. PDF DOI PubMed Cited by
B. van Ginneken, B. ter Haar Romeny and M. Viergever, "Computer-aided diagnosis in chest radiography: a survey", IEEE Transactions on Medical Imaging, 2001;20(12):1228-1241. PDF DOI PubMed Cited by
B. van Ginneken and B. ter Romeny, "Automatic segmentation of lung fields in chest radiographs", Medical Physics, 2000;27:2445-2455. PDF DOI PubMed Cited by
B. van Ginneken and B. ter Romeny, "Applications of locally orderless images", Journal of Visual Communication and Image Representation, 2000;11:196-208. PDF DOI Cited by
B. van Ginneken, J. Koenderink and K. Dana, "Texture histograms as a function of irradiation and viewing direction", International Journal of Computer Vision, 1999;31(2-3):169-184. PDF DOI Cited by
K. Dana, B. van Ginneken, S. Nayar and J. Koenderink, "Reflectance and texture of real world surfaces", ACM Transactions on Graphics, 1999;18(1):1-34. PDF DOI Cited by
B. van Ginneken, M. Stavridi and J. Koenderink, "Diffuse and specular reflectance from rough surfaces", Applied Optics, 1998;37(1):130-139. PDF DOI PubMed Cited by
M. Stavridi, B. van Ginneken and J. Koenderink, "Surface bidirectional reflection distribution function and the texture of bricks and tiles", Applied Optics, 1997;36(16):3717-3725. PDF DOI PubMed Cited by
N. Hendrix, E. Scholten, B. Vernhout, S. Bruijnen, B. Maresch, M. de Jong, S. Diepstraten, S. Bollen, S. Schalekamp, M. de Rooij, A. Scholtens, W. Hendrix, T. Samson, L. Sharon Ong, E. Postma, B. van Ginneken and M. Rutten, "Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs", Radiology: Artificial Intelligence, 0;0(ja):e200260. PDF DOI Algorithm

Preprints

A. Meyer, G. Chlebus, M. Rak, D. Schindele, M. Schostak, B. van Ginneken, A. Schenk, H. Meine, H. Hahn, A. Schreiber and C. Hansen, "Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI", arXiv:2009.11120, 2020. PDF arXiv
S. Zhou, H. Greenspan, C. Davatzikos, J. Duncan, B. van Ginneken, A. Madabhushi, J. Prince, D. Rueckert and R. Summers, "A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises", arXiv:2008.09104, 2020. PDF arXiv
A. Hering, S. Häger, J. Moltz, N. Lessmann, S. Heldmann and B. van Ginneken, "Constraining Volume Change in Learned Image Registration for Lung CTs", arXiv:2011.14372, 2020. PDF arXiv
N. Lessmann and B. van Ginneken, "Random smooth gray value transformations for cross modality learning with gray value invariant networks", arXiv:2003.06158, 2020. PDF arXiv
S. Wetstein, C. González-Gonzalo, G. Bortsova, B. Liefers, F. Dubost, I. Katramados, L. Hogeweg, B. van Ginneken, J. Pluim, M. de Bruijne, C. Sánchez and M. Veta, "Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors", arXiv:2006.06356, 2020. PDF arXiv
C. de Vente, L. Boulogne, K. Venkadesh, C. Sital, N. Lessmann, C. Jacobs, C. Sánchez and B. van Ginneken, "Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study", arXiv:2009.09725, 2020. PDF arXiv
C. González-Gonzalo, B. Liefers, B. van Ginneken and C. Sánchez, "Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks", arXiv:1910.07373, 2019. PDF arXiv
B. Liefers, J. Colijn, C. González-Gonzalo, T. Verzijden, P. Mitchell, C. Hoyng, B. van Ginneken, C. Klaver and C. Sánchez, "A deep learning model for segmentation of geographic atrophy to study its long-term natural history", arXiv:1908.05621, 2019. PDF arXiv
P. Bilic, P. Christ, E. Vorontsov, G. Chlebus, H. Chen, Q. Dou, C. Fu, X. Han, P. Heng, J. Hesser, S. Kadoury, T. Konopczynski, M. Le, C. Li, X. Li, J. Lipkova, J. Lowengrub, H. Meine, J. Moltz, C. Pal, M. Piraud, X. Qi, J. Qi, M. Rempfler, K. Roth, A. Schenk, A. Sekuboyina, E. Vorontsov, P. Zhou, C. Hulsemeyer, M. Beetz, F. Ettlinger, F. Gruen, G. Kaissis, F. Lohofer, R. Braren, J. Holch, F. Hofmann, W. Sommer, V. Heinemann, C. Jacobs, G. Humpire Mamani, B. van Ginneken, G. Chartrand, A. Tang, M. Drozdzal, A. Ben-Cohen, E. Klang, M. Amitai, E. Konen, H. Greenspan, J. Moreau, A. Hostettler, L. Soler, R. Vivanti, A. Szeskin, N. Lev-Cohain, J. Sosna, L. Joskowicz and B. Menze, "The Liver Tumor Segmentation Benchmark (LiTS)", arXiv:1901.04056, 2019. PDF arXiv Cited by
K. Murphy, S. Habib, S. Zaidi, S. Khowaja, A. Khan, J. Melendez, E. Scholten, F. Amad, S. Schalekamp, M. Verhagen, R. Philipsen, A. Meijers and B. van Ginneken, "Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system", arXiv:1903.03349, 2019. PDF arXiv
A. Simpson, M. Antonelli, S. Bakas, M. Bilello, K. Farahani, B. van Ginneken, A. Kopp-Schneider, B. Landman, G. Litjens, B. Menze, O. Ronneberger, R. Summers, P. Bilic, P. Christ, R. Do, M. Gollub, J. Golia-Pernicka, S. Heckers, W. Jarnagin, M. McHugo, S. Napel, E. Vorontsov, L. Maier-Hein and M. Cardoso, "A large annotated medical image dataset for the development and evaluation of segmentation algorithms", arXiv:1902.09063, 2019. PDF arXiv Cited by
M. Argus, C. Schaefer-Prokop, D. Lynch and B. van Ginneken, "Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans", arXiv:1909.12047, 2019. PDF arXiv
L. Maier-Hein, A. Reinke, M. Kozubek, A. L. Martel, T. Arbel, M. Eisenmann, A. Hanbuary, P. Jannin, H. Muller, S. Onogur, J. Saez-Rodriguez, B. van Ginneken, A. Kopp-Schneider and B. Landman, "BIAS: Transparent reporting of biomedical image analysis challenges", arXiv:1910.04071, 2019. PDF arXiv
S. Kazeminia, C. Baur, A. Kuijper, B. van Ginneken, N. Navab, S. Albarqouni and A. Mukhopadhyay, "GANs for Medical Image Analysis", arXiv:1809.06222, 2018. PDF arXiv Cited by
D. Belli, S. Hu, E. Sogancioglu and B. van Ginneken, "Chest X-Rays Image Inpainting with Context Encoders", arXiv:1812.00964, 2018. PDF arXiv
E. Sogancioglu, S. Hu, D. Belli and B. van Ginneken, "Chest X-ray Inpainting with Deep Generative Models", arXiv:1809.01471, 2018. PDF arXiv Cited by
G. Aresta, C. Jacobs, T. Araújo, A. Cunha, I. Ramos, B. van Ginneken and A. Campilho, "iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network", arXiv:1811.12789, 2018. PDF arXiv

Papers in conference proceedings

H. Altun, G. Chlebus, C. Jacobs, H. Meine, B. van Ginneken and H. Hahn, "Feasibility of End-To-End Trainable Two-Stage U-Net for Detection of Axillary Lymph Nodes in Contrast-Enhanced CT Based Scans on Sparse Annotations", Medical Imaging, 2020:113141C. PDF DOI
T. van der Ouderaa, D. Worrall and B. van Ginneken, "Chest CT Super-resolution and Domain-adaptation using Memory-efficient 3D Reversible GANs", Medical Imaging with Deep Learning, 2019. PDF URL
E. Calli, K. Murphy, E. Sogancioglu and B. van Ginneken, "FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis", Medical Imaging with Deep Learning, 2019. PDF URL Cited by
E. Calli, E. Sogancioglu, E. Scholten, K. Murphy and B. van Ginneken, "Handling label noise through model confidence and uncertainty: application to chest radiograph classification", Medical Imaging, 2019(1). PDF DOI Cited by
A. Hering, B. van Ginneken and S. Heldmann, "mlVIRNET: Multilevel Variational Image Registration Network", Medical Image Computing and Computer-Assisted Intervention, 2019;11769:257-265. PDF DOI Cited by
T. van den Heuvel, C. de Korte and B. van Ginneken, "Automated interpretation of prenatal ultrasound using a predefined acquisition protocol in resource-limited countries", Medical Imaging with Deep Learning, 2019. PDF URL
N. Lessmann, J. Wolterink, M. Zreik, M. Viergever, B. van Ginneken and I. Isgum, "Vertebra partitioning with thin-plate spline surfaces steered by a convolutional neural network", Medical Imaging with Deep Learning, 2019. PDF arXiv Cited by
B. Liefers, C. González-Gonzalo, C. Klaver, B. van Ginneken and C. Sánchez, "Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography", Medical Imaging with Deep Learning, 2019;102:337-346. PDF URL Cited by
N. Lessmann, B. van Ginneken and I. Išgum, "Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images", Medical Imaging, 2018;10574. PDF DOI Cited by
G. Aresta, T. Araújo, C. Jacobs, B. van Ginneken, A. Cunha, I. Ramos and A. Campilho, "Towards an automatic lung cancer screening system in low dose computed tomography", MICCAI} Workshop: Thoracic Image Analysis, 2018;11040. PDF DOI Cited by
S. van de Leemput, M. Prokop, B. van Ginneken and R. Manniesing, "Stacked Bidirectional Convolutional LSTMs for 3D Non-contrast CT Reconstruction from Spatiotemporal 4D CT", Medical Imaging with Deep Learning, 2018. PDF URL Cited by
M. Ghafoorian, J. Teuwen, R. Manniesing, F. de Leeuw, B. van Ginneken, N. Karssemeijer and B. Platel, "Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR", Medical Imaging, 2018;10574:105742U. PDF DOI Cited by
C. González-Gonzalo, B. Liefers, B. van Ginneken and C. Sánchez, "Improving weakly-supervised lesion localization with iterative saliency map refinement", Medical Imaging with Deep Learning, 2018. PDF URL Cited by
N. Lessmann, B. van Ginneken, P. de Jong and I. Išgum, "Iterative fully convolutional neural networks for automatic vertebra segmentation", Medical Imaging with Deep Learning, 2018. PDF URL
G. Humpire Mamani, A. Setio, B. van Ginneken and C. Jacobs, "Organ detection in thorax abdomen CT using multi-label convolutional neural networks", Medical Imaging, 2017;10134. PDF DOI Cited by
T. van den Heuvel, H. Petros, S. Santini, C. de Korte and B. van Ginneken, "Combining Automated Image Analysis with Obstetric Sweeps for Prenatal Ultrasound Imaging in Developing Countries", MICCAI} Workshop: Point-of-Care Ultrasound, 2017;10549:105-112. PDF DOI Cited by
F. Ciompi, O. Geessink, B. Bejnordi, G. de Souza, A. Baidoshvili, G. Litjens, B. van Ginneken, I. Nagtegaal and J. van der Laak, "The importance of stain normalization in colorectal tissue classification with convolutional networks", IEEE International Symposium on Biomedical Imaging, 2017:160-163. PDF DOI Cited by
M. Ghafoorian, A. Mehrtash, T. Kapur, N. Karssemeijer, E. Marchiori, M. Pesteie, C. Guttmann, F. de Leeuw, C. Tempany, B. van Ginneken, A. Fedorov, P. Abolmaesumi, B. Platel and W. Wells, "Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation", Medical Image Computing and Computer-Assisted Intervention, 2017;10435:516-524. PDF DOI Cited by
T. van den Heuvel, H. Petros, S. Santini, C. de Korte and B. van Ginneken, "A step towards measuring the fetal head circumference with the use of obstetric ultrasound in a low resource setting", Medical Imaging, 2017;10139:101390V. PDF DOI Cited by
B. Liefers, F. Venhuizen, T. Theelen, C. Hoyng, B. van Ginneken and C. Sánchez, "Fovea Detection in Optical Coherence Tomography using Convolutional Neural Networks", Medical Imaging, 2017;10133:1013302. PDF DOI Cited by
A. Patel, S. van de Leemput, M. Prokop, B. van Ginneken and R. Manniesing, "Automatic Cerebrospinal Fluid Segmentation in Non-Contrast CT Images Using a 3D Convolutional Network", Medical Imaging, 2017;10134. PDF DOI Cited by
P. Bándi, R. van de Loo, M. Intezar, D. Geijs, F. Ciompi, B. van Ginneken, J. van der Laak and G. Litjens, "Comparison of Different Methods for Tissue Segmentation In Histopathological Whole-Slide Images", IEEE International Symposium on Biomedical Imaging, 2017:591-595. PDF DOI Cited by
N. Lessmann, I. Išgum, A. Setio, B. de Vos, F. Ciompi, P. de Jong, M. Oudkerk, W. Mali, M. Viergever and B. van Ginneken, "Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT", Medical Imaging, 2016;9785:978511-1 - 978511-6. PDF DOI Cited by
M. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, F. de Leeuw, E. Marchiori, B. van Ginneken and B. Platel, "Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation", IEEE International Symposium on Biomedical Imaging, 2016:1414-1417. PDF DOI Cited by
F. Ciompi, C. Jacobs, E. Scholten, S. van Riel, M. Wille, M. Prokop and B. van Ginneken, "Automatic detection of spiculation of pulmonary nodules in Computed Tomography images", Medical Imaging, 2015;9414(941409). PDF DOI Cited by
A. Setio, C. Jacobs, F. Ciompi, S. van Riel, M. Wille, A. Dirksen, E. van Rikxoort and B. van Ginneken, "Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model", Medical Imaging, 2015;9414(94141O). PDF DOI Cited by
A. Mendrik, E. Vonken, T. Witkamp, M. Prokop, B. van Ginneken and M. Viergever, "Using the Fourth Dimension to Distinguish Between Structures for Anisotropic Diffusion Filtering in 4D CT Perfusion Scans", Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2015;8682:79-87. PDF DOI Cited by
B. van Ginneken, A. Setio, C. Jacobs and F. Ciompi, "Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans", IEEE International Symposium on Biomedical Imaging, 2015:286-289. PDF DOI Cited by
F. Venhuizen, B. van Ginneken, B. Bloemen, M. van Grinsven, R. Philipsen, C. Hoyng, T. Theelen and C. Sánchez, "Automated Age-Related Macular Degeneration Classification in OCT using Unsupervised Feature Learning", Medical Imaging, 2015;9414(94141I). PDF DOI Cited by
S. Rabbani, P. Maduskar, R. Philipsen, L. Hogeweg and B. van Ginneken, "Effect of image variation on computer aided detection systems", Medical Imaging, 2014;9035:90352H-1-90352H-8. PDF DOI Cited by
J. Melendez, C. Sánchez, R. Philipsen, P. Maduskar and B. van Ginneken, "Multiple-instance learning for computer-aided detection of tuberculosis", Medical Imaging, 2014;9035:90351J. PDF DOI Cited by
C. Jacobs, S. Opdam, E. van Rikxoort, O. Mets, J. Rooyackers, P. de Jong, M. Prokop and B. van Ginneken, "Automated detection and quantification of micronodules in thoracic CT scans to identify subjects at risk for silicosis", Medical Imaging, 2014;9035:90351I. PDF DOI Cited by
P. Maduskar, L. Hogeweg, R. Philipsen, S. Schalekamp and B. van Ginneken, "Improved texture analysis for automatic detection of Tuberculosis (TB) on Chest Radiographs with Bone Suppression images", Medical Imaging, 2013;8670(16):86700H. PDF DOI Cited by
P. Maduskar, L. Hogeweg, R. Philipsen and B. van Ginneken, "Automated localization of costophrenic recesses and costophrenic angle measurement on frontal chest radiographs", Medical Imaging, 2013;8670(118):867038. PDF DOI Cited by
M. van Grinsven, A. Chakravarty, J. Sivaswamy, T. Theelen, B. van Ginneken and C. Sánchez, "A bag of words approach for discriminating between retinal images containing exudates or drusen", IEEE International Symposium on Biomedical Imaging, 2013:1444-1447. PDF DOI Cited by
R. Philipsen, P. Maduskar, L. Hogeweg and B. van Ginneken, "Normalization of Chest Radiographs", Medical Imaging, 2013;8670:86700G. PDF DOI Cited by
L. Gallardo-Estrella, B. van Ginneken and E. van Rikxoort, "Normalization of CT scans reconstructed with different kernels to reduce variability in emphysema measurements", Medical Imaging, 2013;8670:86700E. PDF DOI Cited by
J. Mordang, M. Oei, R. van den Boom, E. Smit, M. Prokop, B. van Ginneken and R. Manniesing, "A Pattern Recognition Framework for Vessel Segmentation in 4D CT of the Brain", Medical Imaging, 2013:866919. PDF DOI Cited by
A. van der Avoird, N. Lin, B. van Ginneken and R. Manniesing, "A Hardware Implementation of a Levelset Algorithm for Carotid Lumen Segmentation in CTA", Medical Imaging, 2013. PDF DOI
M. van Grinsven, Y. Lechanteur, J. van de Ven, B. van Ginneken, T. Theelen and C. Sánchez, "Automatic Age-related macular degeneration detection and staging", Medical Imaging, 2013;8670:86700M. PDF DOI Cited by
J. Ramos, T. Kockelkorn, B. van Ginneken, M. Viergever, J. Grutters, R. Ramos and A. Campilho, "Learning Interstitial Lung Diseases CT Patterns from Reports Keywords", The Fifth International Workshop on Pulmonary Image Analysis, 2013:21-32. PDF Cited by
B. van Ginneken, R. Philipsen, L. Hogeweg, P. Maduskar, J. Melendez, C. Sánchez, R. Maane, B. dei Alorse, U. d'Alessandro and I. Adetifa, "Automated Scoring of Chest Radiographs for Tuberculosis Prevalence Surveys: A Combined Approach", The Fifth International Workshop on Pulmonary Image Analysis, 2013:9-19. PDF Cited by
S. Schalekamp, B. van Ginneken, C. Schaefer-Prokop and N. Karssemeijer, "Impact of Bone Suppression Imaging on the Detection of Lung Nodules in Chest Radiographs: Analysis of Multiple Reading Sessions", Medical Imaging, 2013:86730Y. PDF DOI
E. van Rikxoort, P. de Jong, O. Mets and B. van Ginneken, "Automatic classication of pulmonary function in COPD patients using trachea analysis in chest CT scans", Medical Imaging, 2012;8315:83150P-83150P-6. PDF DOI Cited by
T. Kockelkorn, R. Ramos, J. Ramos, C. Sánchez, P. de Jong, C. Schaefer-Prokop, J. Grutters, B. van Ginneken and M. Viergever, "Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: a simulation study", International Conference on Pattern Recognition, 2012:105-108. PDF Cited by
J. Ramos, T. Kockelkorn, B. van Ginneken, M. Viergever, R. Ramos and A. Campilho, "Supervised Content Based Image Retrieval Using Radiology Reports", Image Analysis and Recognition, 2012;7325:249-258. PDF DOI Cited by
S. Muenzing, B. van Ginneken and J. Pluim, "DIRBoost: An algorithm for boosting deformable image registration", IEEE International Symposium on Biomedical Imaging, 2012:1339-1342. PDF DOI Cited by
R. van den Boom, M. Oei, S. Lafebre, L. Oostveen, A. Meijer, S. Steens, M. Prokop, B. van Ginneken and R. Manniesing, "Brain Tissue Segmentation in 4D CT Images Using Voxel Classification", Medical Imaging, 2012;8314:83144B-83144B-6. PDF DOI
J. Melendez, C. Sánchez, R. Hupse, B. van Ginneken and N. Karssemeijer, "Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography", IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, 2012;7361:682-689. PDF DOI Cited by
S. Muenzing, B. van Ginneken and J. Pluim, "On Combining Algorithms for Deformable Image Registration", Biomedical Image Registration, 2012:256-265. PDF DOI Cited by
C. Jacobs, C. Sánchez, S. Saur, T. Twellmann, P. de Jong and B. van Ginneken, "Computer-Aided Detection of Ground Glass Nodules in Thoracic CT images using Shape, Intensity and Context Features", Medical Image Computing and Computer-Assisted Intervention, 2011;6893:207-214. PDF DOI PubMed Cited by
M. Samulski, P. Snoeren, B. Platel, B. van Ginneken, L. Hogeweg, C. Schaefer-Prokop and N. Karssemeijer, "Computer-Aided Detection as a Decision Assistant in Chest Radiography", Medical Imaging, 2011;7966(1):796614-1-796614-6. PDF DOI Cited by
C. Jacobs, K. Murphy, T. Twellmann, P. de Jong and B. van Ginneken, "Computer-Aided Detection of Solid and Ground Glass Nodules in Thoracic CT images using two independent CAD systems", The Fourth International Workshop on Pulmonary Image Analysis, 2011:177-182. PDF Cited by
P. Maduskar, L. Hogeweg, H. Ayles, R. Dawson, P. de Jong, N. Karssemeijer and B. van Ginneken, "Cavity segmentation in chest radiographs", The Fourth International Workshop on Pulmonary Image Analysis, 2011. PDF
E. van Rikxoort and B. van Ginneken, "Automatic segmentation of the lungs and lobes from thoracic CT scans", The Fourth International Workshop on Pulmonary Image Analysis, 2011:261-268. PDF Cited by
M. Niemeijer, A. Dumitrescu, B. van Ginneken and M. Abràmoff, "Automatic localization of bifurcations and vessel crossings in digital fundus photographs using location regression", Medical Imaging, 2011;7965:796507. PDF DOI Cited by
L. Hogeweg, C. Mol, P. de Jong, R. Dawson, H. Ayles and B. van Ginneken, "Fusion of local and global detection systems to detect tuberculosis in chest radiographs", Medical Image Computing and Computer-Assisted Intervention, 2010;6363:650-657. PDF DOI PubMed Cited by
C. Sánchez, M. Niemeijer, M. Abràmoff and B. van Ginneken, "Active learning for an efficient training strategy of computer-aided diagnosis systems: application to diabetic retinopathy screening", Medical Image Computing and Computer-Assisted Intervention, 2010;6363:603-610. PDF DOI PubMed Cited by
G. Litjens, L. Hogeweg, A. Schilham, P. de Jong, M. Viergever and B. van Ginneken, "Simulation of nodules and diffuse infiltrates in chest radiographs using CT templates", Medical Image Computing and Computer-Assisted Intervention, 2010;6362:396-403. PDF DOI PubMed Cited by
P. Snoeren, G. Litjens, B. van Ginneken and N. Karssemeijer, "Training a Computer Aided Detection System with Simulated Lung Nodules in Chest Radiographs", The Third International Workshop on Pulmonary Image Analysis, 2010:139-149. PDF Cited by
T. Kockelkorn, E. van Rikxoort, J. Grutters and B. van Ginneken, "Interactive lung segmentation in CT scans with severe abnormalities", IEEE International Symposium on Biomedical Imaging, 2010:564-567. PDF DOI Cited by
M. Niemeijer, B. van Ginneken and M. Abràmoff, "Automatic determination of the artery vein ratio in retinal images", Medical Imaging, 2010;7624:76240I1-76240I10. PDF DOI Cited by
I. Išgum, M. Prokop, P. Jacobs, M. Gondrie, W. Mali, M. Viergever and B. van Ginneken, "Automatic coronary calcium scoring in low-dose non-ECG-synchronized thoracic CT scans", Medical Imaging, 2010;7624:76240M1-76240M8. PDF DOI Cited by
E. van Dongen and B. van Ginneken, "Automatic segmentation of pulmonary vasculature in thoracic CT scans with local thresholding and airway wall removal", IEEE International Symposium on Biomedical Imaging, 2010:668-671. PDF DOI Cited by
P. Lo, B. van Ginneken and M. de Bruijne, "Vessel tree extraction using locally optimal paths", IEEE International Symposium on Biomedical Imaging, 2010:680-683. PDF DOI Cited by
E. Smit, J. Dankbaar, A. Mendrik, B. van Ginneken, E. Vonken and M. Prokop, "Reconstruction of High Quality CT Angiography from Noisy Cerebral CT Perfusion Data", Annual Meeting of the Radiological Society of North America, 2010. PDF
C. Sánchez, M. Niemeijer, M. Suttorp-Schulten, M. Abràmoff and B. van Ginneken, "Improving hard exudate detection in retinal images through a combination of local and contextual information", IEEE International Symposium on Biomedical Imaging, 2010:5-8. PDF DOI Cited by
B. van Ginneken, "Computer-aided diagnosis in chest imaging: how to improve performance and avoid reinventing the wheel", IEEE International Symposium on Biomedical Imaging, 2010:274. PDF DOI Cited by
E. van Rikxoort, J. Goldin, B. van Ginneken, M. Galperin-Aizenberg, C. Ni and M. Brown, "Interactively learning a patient specific k-nearest neighbor classifier based on confidence weighted samples", IEEE International Symposium on Biomedical Imaging, 2010:556-559. PDF DOI Cited by
K. Murphy, B. van Ginneken, J. Reinhardt, S. Kabus, K. Ding, X. Deng and J. Pluim, "Evaluation of Methods for Pulmonary Image Registration: The EMPIRE10 Study", Medical Image Analysis for the Clinic - A Grand Challenge, 2010:11-22. PDF Cited by
E. van Rikxoort, M. Galperin-Aizenberg, J. Goldin, T. Kockelkorn, B. van Ginneken and M. Brown, "Multi-classifier semi-supervised classification of tuberculosis patterns on chest CT scans", The Third International Workshop on Pulmonary Image Analysis, 2010:41-48. PDF Cited by
L. Hogeweg, C. Mol, P. de Jong and B. van Ginneken, "Rib suppression in chest radiographs to improve classification of textural abnormalities", Medical Imaging, 2010;7624:76240Y1-76240Y6. PDF DOI Cited by
T. Kockelkorn, P. de Jong, H. Gietema, J. Grutters, M. Prokop and B. van Ginneken, "Interactive annotation of textures in thoracic CT scans", Medical Imaging, 2010;7624:76240X1-76240X8. PDF DOI Cited by
A. Mendrik, E. Vonken, J. Dankbaar, M. Prokop and B. van Ginneken, "Noise filtering in thin-slice 4D cerebral CT perfusion scans", Medical Imaging, 2010;7623:76230N1-76230N8. PDF DOI Cited by
S. Muenzing, B. van Ginneken and J. Pluim, "Knowledge Driven Regularization of the Deformation Field for PDE Based Non-Rigid Registration Algorithms", Medical Image Analysis for the Clinic - A Grand Challenge, 2010:127-136. PDF Cited by
E. van Rikxoort, M. Prokop, B. de Hoop, M. Viergever, J. Pluim and B. van Ginneken, "Automatic segmentation of the pulmonary lobes from fissures, airways, and lung borders: evaluation of robustness against missing data", Medical Image Computing and Computer-Assisted Intervention, 2009(5761):263-271. PDF DOI PubMed Cited by
M. Niemeijer, B. van Ginneken and M. Abràmoff, "A Linking Framework for Pixel Classification Based Retinal Vessel Segmentation", Medical Imaging, 2009;7262:726216-1-726216-8. PDF DOI Cited by
C. Sánchez, M. Niemeijer, T. Kockelkorn, M. Abràmoff and B. van Ginneken, "Active learning approach for detection of hard exudates, cotton wool spots, and drusen in retinal images", Medical Imaging, 2009;7260:72601I1-72601I8. PDF DOI Cited by
P. Lo, B. van Ginneken, J. Reinhardt and M. de Bruijne, "Extraction of Airways from CT (EXACT09)", The Second International Workshop On Pulmonary Image Analysis, 2009:175-189. PDF
M. Niemeijer, B. van Ginneken and M. Abràmoff, "Automatic classification of retinal vessels into arteries and veins", Medical Imaging, 2009;7260:72601F1-72601F8. PDF DOI Cited by
S. Kabus, T. Klinder, K. Murphy, B. van Ginneken, C. Lorenz and J. Pluim, "Evaluation of 4D-CT Lung Registration", Medical Image Computing and Computer-Assisted Intervention, 2009;5761:747-754. PDF DOI Cited by
M. Niemeijer, M. Garvin, K. Lee, B. van Ginneken, M. Abràmoff and M. Sonka, "Registration of 3D spectral OCT volumes using 3D SIFT feature point matching", Medical Imaging, 2009;7259:72591I-1-72591I-8. PDF DOI Cited by
Y. Arzhaeva, L. Hogeweg, P. de Jong, M. Viergever and B. van Ginneken, "Global and Local Multi-valued Dissimilarity-Based Classification: Application to Computer-Aided Detection of Tuberculosis", Medical Image Computing and Computer-Assisted Intervention, 2009(5762):724-731. PDF DOI Cited by
E. van Rikxoort, W. Baggerman and B. van Ginneken, "Automatic segmentation of the airway tree from thoracic CT scans using a multi-threshold approach", The Second International Workshop on Pulmonary Image Analysis, 2009:341-349. PDF Cited by
A. Mendrik, E. Vonken, A. Waaijer, E. Smit, M. Prokop and B. van Ginneken, "Segmentation of arteries and veins on 4D CT perfusion scans for constructing arteriograms and venograms", Medical Imaging, 2009;7259:72590Z1-72590Z7. PDF DOI Cited by
X. Artaechevarria, A. Muñoz-Barrutia, B. van Ginneken and C. Ortiz-de-Solórzano, "Fast murine airway segmentation and reconstruction in micro-CT images", Medical Imaging, 2009;7262(1):72620B1-72620B8. PDF DOI Cited by
S. Muenzing, K. Murphy, B. van Ginneken and J. Pluim, "Automatic detection of registration errors for quality assessment in medical image registration", Medical Imaging, 2009;7259:72590K1-72590K9. PDF DOI Cited by
M. Niemeijer, M. Abràmoff and B. van Ginneken, "Automated localization of the optic disc and the fovea", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008:3538-3541. PDF DOI PubMed Cited by
K. Murphy, B. van Ginneken, S. Klein, M. Staring and J. Pluim, "Semi-Automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration", Medical Image Computing and Computer-Assisted Intervention, 2008;5242. PDF DOI PubMed Cited by
B. van Ginneken, W. Baggerman and E. van Rikxoort, "Robust segmentation and anatomical labeling of the airway tree from thoracic CT scans", Medical Image Computing and Computer-Assisted Intervention, 2008;5241:219-226. PDF DOI PubMed Cited by
E. van Rikxoort, M. de Bruijne and B. van Ginneken, "Integrating local voxel classification and global shape models for medical image segmentation", Medical Imaging, 2008:69144J-1 - 69144J-6. PDF DOI Cited by
K. Murphy, B. van Ginneken, J. Pluim, S. Klein and M. Staring, "Quantitative Assessment of Registration in Thoracic CT", The First International Workshop on Pulmonary Image Analysis, 2008:203-211. PDF Cited by
E. van Rikxoort, I. Išgum, M. Staring, S. Klein and B. van Ginneken, "Adaptive Local Multi-Atlas Segmentation: Application to Heart Segmentation in Chest CT Scans", Medical Imaging, 2008:691407-1-691407-6. PDF DOI Cited by
M. Niemeijer, M. Garvin, B. van Ginneken, M. Sonka and M. Abràmoff, "Vessel segmentation in 3D spectral OCT scans of the retina", Medical Imaging, 2008;6914. PDF DOI Cited by
B. van Ginneken, A. Tan, K. Murphy, B. de Hoop and M. Prokop, "Automated detection of nodules attached to the pleural and mediastinal surface in low-dose CT scans", Medical Imaging, 2008;6915:69150X1-69150X10. PDF DOI
B. van Ginneken, T. Heimann and M. Styner, "3D Segmentation in the Clinic: A Grand Challenge", 3D Segmentation in the Clinic: A Grand Challenge, 2007:7-15. PDF
E. van Rikxoort, Y. Arzhaeva and B. van Ginneken, "A multi-atlas approach to automatic segmentation of the caudate nucleus in MR brain images", 3D Segmentation in the Clinic: A Grand Challenge, 2007:29-36. PDF Cited by
K. Murphy, A. Schilham, H. Gietema, M. Prokop and B. van Ginneken, "Automated detection of pulmonary nodules from low-dose computed tomography scans using a two-stage classification system based on local image features", Medical Imaging, 2007;6514:651410-1-651410-12. PDF DOI Cited by
Y. Arzhaeva, E. van Rikxoort and B. van Ginneken, "Automated segmentation of caudate nucleus in MR brain images with voxel classification", 3D Segmentation in the Clinic: A Grand Challenge, 2007:65-72. PDF Cited by
B. van Ginneken, "Supervised probabilistic segmentation of pulmonary nodules in CT scans", Medical Image Computing and Computer-Assisted Intervention, 2006;4191:912-919. PDF DOI PubMed Cited by
Y. Arzhaeva, B. van Ginneken and D. Tax, "Image classification from generalized image distance features: application to detection of interstitial disease in chest radiographs", International Conference on Pattern Recognition, 2006. PDF DOI Cited by
M. Klik, E. van Rikxoort, J. Peters, H. Gietema, M. Prokop and B. van Ginneken, "Improved classification of pulmonary nodules by automated detection of benign subpleural lymph nodes", IEEE International Symposium on Biomedical Imaging, 2006:494-497. PDF DOI Cited by
A. Schilham and B. van Ginneken, "Simulating nodules in chest radiographs with real nodules from multi-slice CT images", Medical Imaging, 2006(6144):614456-1-614456-8. PDF DOI Cited by
E. van Rikxoort and B. van Ginneken, "A pattern recognition approach to enhancing structures in 3D CT data", Medical Imaging, 2006(6144):61441O-1-61441O-8. PDF DOI Cited by
B. van Ginneken and A. Mendrik, "Image Denoising with k-nearest Neighbor and Support Vector Regression", International Conference on Pattern Recognition, 2006;3:603-606. PDF DOI Cited by
M. Loog and B. van Ginneken, "Bony Structure Suppression in Chest Radiographs", Computer Vision Approaches to Medical Image Analysis, 2006;4241:166-177. PDF DOI Cited by
A. Mendrik, E. Vonken, A. Schilham, M. Viergever and B. van Ginneken, "Hybrid diffusion compared with existing diffusion schemes on simulated low dose CT scans", IEEE International Symposium on Biomedical Imaging, 2006:1008-1011. PDF DOI Cited by
Y. Arzhaeva, D. Tax and B. van Ginneken, "Improving computer-aided diagnosis of interstitial disease in chest radiographs by combining one-class and two-class classifiers", Medical Imaging, 2006;6144:614458-1-614458-8. PDF DOI Cited by
A. Schilham, M. Prokop, H. Gietema and B. van Ginneken, "Local noise reduction for emphysema scoring in low-dose CT images", Medical Imaging, 2005;5747:921-929. PDF DOI
M. Niemeijer, M. Abràmoff and B. van Ginneken, "Automatic detection of the presence of bright lesions in color fundus photographs", The 3rd European Medical and Biological Engineering Conference, 2005:1832 (1-6). PDF Cited by
M. Niemeijer, B. van Ginneken, F. ter Haar and M. Abràmoff, "Automatic Detection of the Optic Disc, Fovea and Vascular Arch in Digital Color Photographs of the Retina", Proceedings of the British Machine Vision Conference, 2005:109-118. PDF Cited by
I. Išgum, B. van Ginneken, A. Rutten and M. Prokop, "Automated coronary calcification detection and scoring", 4th International Symposium on Image and Signal Processing and Analysis, 2005:127-132. PDF Cited by
M. Loog, B. van Ginneken and R. Duin, "Dimensionality reduction by canonical contextual correlation projections", European Conference on Computer Vision, 2004;3021:562-573. PDF DOI Cited by
J. Staal, B. van Ginneken and M. Viergever, "Automatic rib segmentation in CT data", Computer Vision Approaches to Medical Image Analysis and Mathematical Methods in Biomedical Image Analysis, 2004;3117:193-204. PDF Cited by
M. Loog and B. van Ginneken, "Static posterior probability fusion for signal detection: applications in the detection of interstitial diseases in chest radiographs", International Conference on Pattern Recognition, 2004:644-647. PDF DOI Cited by
I. Išgum, B. van Ginneken and M. Prokop, "A pattern recognition approach to automated coronary calcium scoring", International Conference on Pattern Recognition, 2004. PDF DOI Cited by
I. Sluimer, M. Niemeijer and B. van Ginneken, "Lung field segmentation from thin-slice CT scans in presence of severe pathology", Medical Imaging, 2004;5370:1447-1455. PDF DOI Cited by
M. Loog, B. van Ginneken and M. Nielsen, "Detection of interstitial lung disease in PA chest radiographs", Medical Imaging, 2004;5368:848-855. PDF DOI Cited by
B. van Ginneken and M. Loog, "Pixel Position Regression - Application to medical image segmentation", International Conference on Pattern Recognition, 2004:718-721. PDF DOI Cited by
M. Niemeijer, J. Staal, B. van Ginneken, M. Loog and M. Abràmoff, "Comparative Study of Retinal Vessel Segmentation Methods on a New Publicly Available Database", Medical Imaging, 2004;5370:648-656. PDF DOI Cited by
M. de Bruijne, B. van Ginneken, M. Viergever and W. Niessen, "Adapting Active Shape Models for 3D segmentation of tubular structures in medical images", Information Processing in Medical Imaging, 2003;2732:136-147. PDF DOI PubMed Cited by
M. de Bruijne, B. van Ginneken, W. Niessen, M. Loog and M. Viergever, "Model-based segmentation of abdominal aortic aneurysms in CTA images", Medical Imaging, 2003;5032:1560-1571. PDF DOI Cited by
A. Schilham, B. van Ginneken and M. Loog, "Multi-scale nodule detection in chest radiographs", Medical Image Computing and Computer-Assisted Intervention, 2003;2878:602-609. PDF DOI Cited by
B. van Ginneken, M. de Bruijne, M. Loog and M. Viergever, "Interactive Shape Models", Medical Imaging, 2003;5032:1206-1216. PDF DOI Cited by
I. Išgum, B. van Ginneken and M. Viergever, "Automatic detection of calcifications in the aorta from abdominal CT scans", Computer Assisted Radiology and Surgery, 2003:1037-1042. PDF DOI Cited by
M. Loog, B. van Ginneken and M. Viergever, "Segmenting the posterior ribs in chest radiographs by iterated contextual pixel classification", Medical Imaging, 2003;5032:609-618. PDF DOI Cited by
M. de Bruijne, B. van Ginneken, L. Bartels, M. van der Laan, J. Blankensteijn, W. Niessen and M. Viergever, "Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images", Medical Image Computing and Computer-Assisted Intervention, 2003;2879:538-545. PDF DOI Cited by
M. Niemeijer, B. van Ginneken, C. Maas, F. Beek and M. Viergever, "Assessing the Skeletal Age From a Hand Radiograph: Automating the Tanner-Whitehouse Method", Medical Imaging, 2003;5032:1197-1205. PDF DOI Cited by
B. van Ginneken, B. ter Romeny and M. Viergever, "Automatic segmentation and texture analysis of PA chest radiographs to detect abnormalities related to interstitial disease and tuberculosis", Computer Assisted Radiology and Surgery, 2002:685-688. PDF DOI Cited by
M. de Bruijne, B. van Ginneken, W. Niessen, J. Maintz and M. Viergever, "Active shape model based segmentation of abdominal aortic aneurysms in CTA images", Medical Imaging, 2002;4684:463-474. PDF DOI Cited by
J. Staal, S. Kalitzin, B. van Ginneken, M. Abràmoff, T. Berendschot and M. Viergever, "Classifying convex sets for vessel detection in retinal images", IEEE International Symposium on Biomedical Imaging, 2002:269-272. PDF DOI Cited by
I. Sluimer and B. van Ginneken, "Detection of abnormal tissue in HRCT scans of the chest", Computer Assisted Radiology and Surgery, 2002:1101. PDF DOI Cited by
M. Loog and B. van Ginneken, "Supervised segmentation by Iterated Contextual Pixel Classification", International Conference on Pattern Recognition, 2002:925-928. PDF DOI Cited by
B. van Ginneken, A. Frangi, J. Staal, B. ter Romeny and M. Viergever, "A non-linear gray-level appearance model improves active shape model segmentation", IEEE Workshop on Mathematical Models in Biomedical Image Analysis, 2001:205-212. PDF DOI Cited by
B. van Ginneken, "Towards a clinical chest workstation", Proceedings of VISIM, 2001. PDF
B. van Ginneken and B. ter Romeny, "Automatic delineation of ribs in frontal chest radiographs", Medical Imaging, 2000;3979:825-836. PDF DOI Cited by
B. van Ginneken and B. ter Romeny, "Applications of locally orderless images", Scale-Space Theories in Computer Vision, 1999;1682:10-21. PDF DOI Cited by
B. van Ginneken and B. ter Romeny, "Automatic segmentation of lung fields in chest radiographs", Medical Image Computing and Computer-Assisted Intervention, 1999;1679:184-191. PDF DOI Cited by
K. Dana, B. van Ginneken, S. Nayar and J. Koenderink, "Reflectance and texture of real-world surfaces", Computer Vision and Pattern Recognition, 1997:151-157. PDF DOI
M. Stavridi, B. van Ginneken and J. Koenderink, "Surface BRDF and texture of bricks", Three-Dimensional and Unconventional Imaging for Industrial Inspection and Metrology, 1996;2599:406-417. PDF DOI Cited by
F. Leymarie, A. de la Fortelle, J. Koenderink, A. Kappers, M. Stavridi, B. van Ginneken, S. Muller, S. Krake, O. Faugeras, L. Robert, C. Gauclin, S. Laveau and C. Zeller, "REALISE: reconstruction of REALity from Image SEquences", International Conference on Image Processing, 1996:651-654. PDF DOI Cited by

Abstracts

W. Hendrix, N. Hendrix, M. Prokop, E. Scholten, B. Van Ginneken, M. Rutten and C. Jacobs, "Trends in the Incidence of Pulmonary Nodules in Chest Computed Tomography: 10-Year Results from Two Dutch Hospitals", European Congress of Radiology, 2021. PDF DOI
C. González-Gonzalo, S. Wetstein, G. Bortsova, B. Liefers, B. van Ginneken and C. Sánchez, "Are adversarial attacks an actual threat for deep learning systems in real-world eye disease screening settings?", European Society of Retina Specialists, 2020. PDF URL
K. Venkadesh, A. Setio, Z. Saghir, B. van Ginneken and C. Jacobs, "Deep Learning for Lung Nodule Malignancy Prediction: Comparison With Clinicians and the Brock Model on an Independent Dataset From a Large Lung Screening Trial", Annual Meeting of the Radiological Society of North America, 2020. PDF
M. Silva, G. Milanese, F. Sabia, C. Jacobs, B. van Ginneken, M. Prokop, C. Schaefer-Prokop, A. Marchiano, N. Sverzellati and U. Pastorino, "Lung cancer risk after baseline round of screening: Only 20% of NLST eligibles require annual round", Annual Meeting of the European Society of Thoracic Imaging, 2019. PDF
M. Silva, G. Milanese, F. Sabia, C. Jacobs, B. van Ginneken, M. Prokop, C. Schaefer-Prokop, S. Sestini, A. Marchiano, N. Sverzellati and U. Pastorino, "Lung Cancer Screening in NLST Eligibles: Tailoring Annual Low-Dose Computed Tomography by Post-Test Risk Stratification", Annual Meeting of the Radiological Society of North America, 2019. PDF
G. Chlebus, G. Humpire Mamani, A. Schenk, B. van Ginneken and H. Meine, "Mimicking radiologists to improve the robustness of deep-learning based automatic liver segmentation", Annual Meeting of the Radiological Society of North America, 2019. PDF
C. Jacobs and B. van Ginneken, "Deep learning for detection and characterization of lung nodules", Annual Meeting of the European Society of Thoracic Imaging, 2019. PDF
H. van Zeeland, J. Meakin, B. Liefers, C. González-Gonzalo, A. Vaidyanathan, B. van Ginneken, C. Klaver and C. Sánchez, "EyeNED workstation: Development of a multi-modal vendor-independent application for annotation, spatial alignment and analysis of retinal images", Association for Research in Vision and Ophthalmology, 2019. PDF Cited by
T. van den Heuvel, B. van Ginneken and C. de Korte, "Improving Maternal Care In Resource-Limited Settings Using A Low-Cost Ultrasound Device And Machine Learning", Dutch Bio-Medical Engineering Conference, 2019. PDF
C. Jacobs, E. Scholten, A. Schreuder, M. Prokop and B. van Ginneken, "An observer study comparing radiologists with the prize-winning lung cancer detection algorithms from the 2017 Kaggle Data Science Bowl", Annual Meeting of the Radiological Society of North America, 2019. PDF
M. Hall, A. Setio, S. Sheridan, M. Sproule, M. Williams, E. Scholten, C. Jacobs, B. Van Ginneken and G. Roditi, "Computer aided detection (CAD) and scoring of lung nodules in a Scottish lung cancer screening programme", European Congress of Radiology, 2018. PDF DOI
A. Schreuder, C. Jacobs, N. Lessmann, E. Scholten, I. Isgum, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Improved Lung Cancer and Mortality Prediction Accuracy Using Survival Models Based on Semi-Automatic CT Image Measurements", World Conference on Lung Cancer, 2018. PDF
K. Koschmieder, A. van der Eerden, B. van Ginneken and R. Manniesing, "Brain Extraction in Susceptibility-Weighted MR Images using Deep Learning", Annual Meeting of the Radiological Society of North America, 2018. PDF
B. van Ginneken, "Deep Machine Learning for Screening LDCT", Journal of Thoracic Oncology, 2018;13:S190. PDF
M. Meijs, A. Patel, S. van de Leemput, B. van Ginneken, M. Prokop and R. Manniesing, "Fast, Robust and Accurate Segmentation of the Complete Cerebral Vasculature in 4D-CTA using Deep Learning", Annual Meeting of the Radiological Society of North America, 2018. PDF
A. Schreuder, C. Jacobs, L. Gallardo-Estrella, C. and Schaefer-Prokop, W. Fukumoto, M. Prokop and B. van Ginneken, "Normalized emphysema score progression: An improved CT biomarker for mortality", Annual Meeting of the Radiological Society of North America, 2018. PDF
B. van Ginneken, "Real-Life Artificial Intelligence Applications", Journal of the Belgian Society of Nephrology, 2018. PDF DOI Cited by
A. Schreuder, B. van Ginneken, E. Scholten, C. Jacobs, M. Prokop, N. Sverzellati, S. Desai, A. Devaraj and C. Schaefer-Prokop, "What is a perifissural nodule? Low inter-observer agreement in NLST data", European Societies of Cardiovascular Radiology and Thoracic Imaging joint meeting, 2018. PDF
M. Silva, G. Capretti, N. Sverzellati, C. Jacobs, F. Ciompi, B. van Ginneken, C. Schaefer-Prokop, M. Prokop, A. Marchiano and U. Pastorino, "Non-solid and Part-solid Nodules: Comparison Between Visual and Computer Aided Detection", World Congress of Thoracic Imaging, 2017. PDF
M. Silva, G. Capretti, N. Sverzellati, C. Jacobs, F. Ciompi, B. van Ginneken, C. Schaefer-Prokop, A. Marchianò and U. Pastorino, "Subsolid and part-solid nodules in lung cancer screening: comparison between visual and computer-aided detection", European Congress of Radiology, 2017. PDF
B. Liefers, F. Venhuizen, V. Schreur, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic detection of the foveal center in optical coherence tomography", Association for Research in Vision and Ophthalmology, 2017. PDF
F. Venhuizen, S. Schaffhauser, V. Schreur, B. Liefers, B. van Ginneken, C. Hoyng, T. Theelen, E. de Jong and C. Sánchez, "Fully automated detection of hyperreflective foci in optical coherence tomography", Association for Research in Vision and Ophthalmology, 2017. PDF
M. Meijs, S. Pegge, M. Prokop, B. van Ginneken, F. Meijer and R. Manniesing, "Detection of vessel occlusion in acute stroke is facilitated by color-coded 4D-CTA", European Congress of Radiology, 2017. PDF
A. Schreuder, C. Schaefer-Prokop, E. Scholten, C. Jacobs, M. Prokop and B. van Ginneken, "Use of a risk model combining clinical information and CT findings to customize follow-up intervals in lung cancer screening", Annual Meeting of the Radiological Society of North America, 2017. PDF
N. Lessmann, B. van Ginneken, P. de Jong, W. Veldhuis, M. Viergever and I. Išgum, "Deep learning analysis for automatic calcium scoring in routine chest CT", Annual Meeting of the Radiological Society of North America, 2017. PDF
J. Bukala, G. Humpire Mamani, E. Scholten, M. Prokop, B. van Ginneken and C. Jacobs, "Fully Automatic Measurement of the Splenic Volume in CT with U-Net Convolutional Neural Networks", Annual Meeting of the Radiological Society of North America, 2017. PDF
A. Patel, F. Meijer, M. Prokop, B. van Ginneken and R. Manniesing, "Robust segmentation of the cranial cavity in non-contrast CT and CT perfusion of the brain", European Congress of Radiology, 2017. PDF
T. van den Heuvel, C. de Korte and B. van Ginneken, "Automated Measurement of Fetal Head Circumference in Ultrasound Images", Dutch Bio-Medical Engineering Conference, 2017. PDF
F. Venhuizen, M. van Grinsven, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Fully automated quantification of intraretinal cysts in 3D optical coherence tomography", Association for Research in Vision and Ophthalmology, 2016. PDF
E. Scholten, C. Jacobs, C. Schaefer-Prokop, J. Rühaak, H. de Koning, M. Oudkerk, P. de Jong, M. Prokop and B. van Ginneken, "Temporal subtraction of chest CT in lung cancer screening", European Congress of Radiology, 2016. PDF
J. Charbonnier, E. Pompe, C. Moore, S. Humphries, B. van Ginneken, D. Lynch, B. Make and E. van Rikxoort, "Airway Dimensions in Current and Former smokers: an independent predictor of Airflow Obstruction and Respiratory Quality of Life in Cigarette Smokers", Annual Meeting of the Radiological Society of North America, 2016. PDF
R. Manniesing, S. van de Leemput, M. Prokop and B. van Ginneken, "White Matter and Gray Matter Segmentation in 4D CT Images of Acute Ischemic Stroke Patients: a Feasibility Study", Annual Meeting of the Radiological Society of North America, 2016. PDF
M. Meijs, M. Prokop, F. Meijer, B. van Ginneken and R. Manniesing, "Segmentation of small cerebral vessels on CT perfusion images of patients with suspected acute stroke", Annual Meeting of the Radiological Society of North America, 2016. PDF
F. Ciompi, K. Chung, A. Setio, S. van Riel, E. Scholten, P. Gerke, C. Jacobs, U. Pastorino, A. Marchiano, M. Wille, M. Prokop and B. van Ginneken, "Pulmonary nodule type classification with convolutional networks", Medical Image Computing and Computer-Assisted Intervention, 2016. PDF
M. van Grinsven, F. Venhuizen, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic detection of hemorrhages on color fundus images using deep learning", Association for Research in Vision and Ophthalmology, 2016. PDF Cited by
M. van Grinsven, F. Venhuizen, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic detection of eye diseases using automated color fundus image analysis", Association for Research in Vision and Ophthalmology, 2015. PDF
E. Pompe, P. De Jong, E. Van Rikxoort, L. Gallardo-Estrella, W. De Jong, R. Vliegenthart, M. Oudkerk, C. der Van Aalst, B. Van Ginneken, J. Lammers and F. Mohamed Hoesein, "Bone density is associated with emphysema and air trapping on CT in smokers", American Thoracic Society International Conference, 2015. PDF DOI Cited by
F. Venhuizen, M. van Grinsven, C. Hoyng, T. Theelen, B. van Ginneken and C. Sánchez, "Vendor Independent Cyst Segmentation in Retinal SD-OCT Volumes using a Combination of Multiple Scale Convolutional Neural Networks", Medical Image Computing and Computer-Assisted Intervention, 2015. PDF
F. Venhuizen, M. Breukink, B. van Ginneken, M. van Grinsven, B. Bloemen, C. Hoyng, T. Theelen, C. Boon and C. Sánchez, "Automated Quantification of Subretinal Fluid in Central Serous Chorioretinopathy in 3D Optical Coherence Tomography Images", Association for Research in Vision and Ophthalmology, 2015. PDF
S. van Riel, F. Ciompi, M. Wille, E. Scholten, A. Dirksen, K. Chung, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Comparing LungRADS and the McWilliams nodule malignancy score: which approach works best to select screen detected pulmonary nodules for more aggressive followup?", Annual Meeting of the Radiological Society of North America, 2015. PDF
A. Ritchie, C. Sanghera, C. Jacobs, W. Zhang, J. Mayo, H. Roberts, M. Gingras, S. Pasian, L. Stewart, S. Tsai, D. Manos, J. Seely, P. Burrowes, R. Bhatia, S. Atkar-Khattra, B. van Ginneken, M. Tammemagi and S. Lam, "Computer Vision Tool and Technician as First Reader of Lung Cancer Screening CT", World Conference on Lung Cancer, 2015. PDF
K. Chung, E. Scholten, S. van Riel, F. Ciompi, P. de Jong, M. Wille, M. Prokop, B. van Ginneken and C. Schaefer-Prokop, "Differentiation of persistent and transient subsolid nodules: does morphology help?", European Congress of Radiology, 2015;85(3):648-652. PDF
S. van Riel, F. Ciompi, M. Wille, M. Naqibullah, E. Scholten, C. Schaefer-Prokop and B. van Ginneken, "Lung-RADS versus the McWilliams nodule malignancy score for risk prediction: an evaluation using lesions from the DLCST Trial", World Conference on Lung Cancer, 2015. PDF
N. Lessmann, I. Išgum, S. Lam, J. Mayo, P. de Jong, M. Viergever and B. van Ginneken, "Automatic coronary calcium scoring and cardiovascular risk estimation in the Pan-Canadian lung cancer screening trial", Annual Meeting of the Radiological Society of North America, 2015. PDF
S. van Riel, K. Chung, E. Scholten, P. de Jong, C. Schaefer-Prokop and B. van Ginneken, "ACR Lung-RADS guidelines for pure ground-glass nodules: is a threshold of 20mm adequate?", European Congress of Radiology, 2015. PDF
R. Philipsen, C. Sánchez, P. Maduskar, J. Melendez, B. van Ginneken and W. Lew, "Objective Computerized Chest Radiography Screening to Detect Tuberculosis in the Philippines", Union World Conference on Lung Health, 2015. PDF
P. Maduskar, I. Adetifa, J. van den Hombergh, E. Leroy-Terquem, A. Fasan-Odunsi, C. Sánchez, U. d'Alessandro and B. van Ginneken, "Computerized Reading of Chest Radiographs in The Gambia National Tuberculosis Prevalence Survey: Retrospective Comparison with Human Experts", Union World Conference on Lung Health, 2015. PDF
C. Sánchez, S. Lambertus, B. Bloemen, N. Bax, F. Venhuizen, M. van Grinsven, B. van Ginneken, T. Theelen and C. Hoyng, "Automatic quantification of geographic atrophy in fundus autofluorescence images of Stargardt patients", Association for Research in Vision and Ophthalmology, 2015. PDF
A. Ritchie, M. Tammemagi, C. Jacobs, W. Zhang, J. Mayo, H. Roberts, M. Gingras, S. Pasian, L. Stewart, S. Tsai, D. Manos, J. Seely, P. Burrowes, R. Bhatia, S. Atkar-Khattra, B. van Ginneken, M. Tsao and S. Lam, "Automated measurement of malignancy risk of lung nodule detected by screening computed tomography", World Conference on Lung Cancer, 2015. PDF
E. Scholten, C. Jacobs, B. van Ginneken, S. van Riel, R. Vliegenthart, M. Oudkerk, M. Prokop, H. Gietema and P. de Jong., "Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation", European Congress of Radiology, 2015. PDF Cited by
S. van Riel, F. Ciompi, M. Wille, E. Scholten, N. Sverzellati, S. Rossi, A. Dirksen, M. Brink, R. Wittenberg, M. Naqibullah, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Can morphological features differentiate between malignant and benign pulmonary nodules, detected in a screen setting?", Annual Meeting of the Radiological Society of North America, 2015. PDF
A. Khan, A. Zaidi, R. Philipsen, S. Khowaja, B. van Ginneken, A. Khan and T. Dossul, "Detection of Chest X-ray abnormalities and tuberculosis using computer-aided detection vs interpretation by radiologists and a clinical officer", 45th World Conference on Lung Health, 2014. PDF URL
M. Schmidt, E. Rikxoort, J. Kuhnigk, P. Judy and B. van Ginneken, "Subvoxel Accurate Airway Wall Measurements using an Intensity Integration Approach: Comparative Study using the COPDGene Phantom", Annual Meeting of the Radiological Society of North America, 2014. PDF
S. Schalekamp, N. Karssemeijer, C. Schaefer-Prokop and B. van Ginneken, "Double reading improves detection of small lung tumors in chest radiographs: can a computer aided detection system replace the second reader?", European Congress of Radiology, 2014. PDF
M. Oei, R. Manniesing, W. and van denRieneke Boom, B. van Ginneken, F. Meijer and M. Prokop, "One-Step-Stroke CT Imaging - Part I: Optimization of Interleaved Acquisition of Cerebral CT Perfusion and Neck CT Angiography", Annual Meeting of the Radiological Society of North America, 2014. PDF
A. Zaidi, N. Khalid, R. Philipsen, B. van Ginneken, S. Khowaja and A. Khan, "Symptomatic screening and computer-aided radiography for active-case finding of tuberculosis: a prediction model for TB case detection", 45th World Conference on Lung Health, 2014. PDF
B. van Ginneken, C. Jacobs, E. Scholten, M. Prokop and P. de Jong, "Feasibility of Rapid Reading of CT Lung Cancer Screening with Computer-Aided Detection Support", Annual Meeting of the Radiological Society of North America, 2014. PDF
B. Lassen, J. Kuhnigk, C. Jacobs, E. van Rikxoort and B. van Ginneken, "Fully Automatic Volumetric Segmentation of Pulmonary Nodules: Evaluation using the Complete LIDC/IDRI Database", Annual Meeting of the Radiological Society of North America, 2014. PDF
A. Setio, J. Gelderblom, C. Jacobs and B. van Ginneken, "Automatic Detection of Large Pulmonary Nodules in Thoracic CT Images", Annual Meeting of the Radiological Society of North America, 2014. PDF
M. van Grinsven, G. Buitendijk, C. Brussee, B. van Ginneken, T. Theelen, C. Klaver and C. Sánchez, "Automatic detection of reticular drusen using multimodal retinal image analysis", Association for Research in Vision and Ophthalmology, 2014. PDF
R. Philipsen, P. Maduskar, L. Hogeweg, J. Melendez, C. Sánchez and B. van Ginneken, "Robust Computer-Aided Detection of Tuberculosis in Chest Radiographs Using Energy Normalization", Annual Meeting of the Radiological Society of North America, 2014. PDF
F. Ciompi, B. de Hoop, C. Jacobs, M. Prokop, P. a de Jong and B. van Ginneken, "Automatic Classification of Perifissural Pulmonary Nodules in Thoracic CT Images", Annual Meeting of the Radiological Society of North America, 2014. PDF
L. Gallardo-Estrella, E. Pompe, F. Mohamed Hoesein, P. De Jong, B. van Ginneken, E. van Rikxoort, H. de Koning, M. Oudkerk and J. Lammers, "Relationship between Lung Function Parameters and CT Measurements of Emphysema, Airways, and Tracheal Collapse in Subjects with Mild COPD", Annual Meeting of the Radiological Society of North America, 2014. PDF
A. Steiner, F. Mhimbira, J. van den Hombergh, P. Clowes, C. Mangu, B. van Ginneken, M. Hoelscher and K. Reither, "Computer-aided diagnosis of X-rays in a screening for pulmonary tuberculosis of a prison population in Tanzania", 45th World Conference on Lung Health, 2014. PDF
S. Schalekamp, N. Karssemeijer, C. Schaefer-Prokop and B. van Ginneken, ""Independent combination of multiple readers for the detection of lung nodules in chest radiographs: setting a benchmark for computer-aided detection"", Annual Meeting of the Radiological Society of North America, 2013. PDF
C. Jacobs, B. van Ginneken, S. Fromme, M. Prokop and E. van Rikxoort, "Benchmarking computer-aided detection of pulmonary nodules on the recently completed publicly available LIDC/IDRI database", Annual Meeting of the Radiological Society of North America, 2013. PDF
S. van Riel, C. Schaefer-Prokop, E. van Rikxoort, B. van Ginneken, M. Prokop, S. Schalekamp, C. Jacobs, P. de Jong, H. Gietema and E. Scholten, "Impact of section thickness on classification of pulmonary nodules into solid, part-solid, and non-solid: an observer study", Annual Meeting of the Radiological Society of North America, 2013. PDF
S. Schalekamp, B. van Ginneken, C. Schaefer-Prokop and N. Karssemeijer, ""Computer aided detection of lung nodules in chest radiographs: novel approaches to improve reader performance"", MIPS, 2013. PDF
P. Maduskar, L. Hogeweg, H. Ayles and B. van Ginneken, "Performance evaluation of automatic chest radiograph reading for detection of tuberculosis (TB): a comparative study with clinical officers and certified readers on TB suspects in sub-Saharan Africa", European Congress of Radiology, 2013. PDF
C. Jacobs, E. van Rikxoort, J. Kuhnigk, E. Scholten, P. de Jong, C. Schaefer-Prokop, M. Prokop and B. van Ginneken, "Automated characterization of pulmonary nodules in thoracic CT images using a segmentation-based classification system", European Congress of Radiology, 2013. PDF
R. van den Boom, M. Oei, L. Oostveen, H. Laue, B. van Ginneken, R. Manniesing and M. Prokop, "Effect of dose reduction on cerebral CT perfusion maps: results from a hybrid digital perfusion phantom", European Congress of Radiology, 2013. PDF
M. Oei, R. van den Boom, L. Oostveen, H. Laue, B. van Ginneken, R. Manniesing and M. Prokop, "Influence of Temporal Sampling Rate of CTP acquisitions on Cerebral Perfusion Maps using a Digital Phantom", European Congress of Radiology, 2013. PDF
M. Schmidt, E. van Rikxoort, O. Mets, P. de Jong, J. Kuhnigk, M. Oudkerk, H. de Koning and B. van Ginneken, "Reproducibility of automated three-dimensional airway wall thickness measurements in thoracic computed tomography and influence of inspiration depth", Annual Meeting of the Radiological Society of North America, 2013. PDF
C. Jacobs, E. van Rikxoort, J. Kuhnigk, E. Scholten, P. de Jong, C. Schaefer-Prokop, M. Prokop and B. van Ginneken, "Non-solid, part-solid or solid? Classification of pulmonary nodules in thoracic CT by radiologists and a computer-aided diagnosis system", European Congress of Radiology, 2013. PDF
B. van Ginneken, E. van Rikxoort, S. Lafebre, C. Jacobs, M. Schmidt, J. Kuhnigk, M. Prokop, C. Schaefer-Prokop, J. Charbonnier, L. Hogeweg, P. Maduskar, L. Gallardo-Estrella, R. Philipsen and B. Lassen, "CIRRUS Lung: an optimized workflow for quantitative image analysis of thoracic computed tomography and chest radiography for major pulmonary diseases: chronic obstructive pulmonary disease, lung cancer and tuberculosis", Annual Meeting of the Radiological Society of North America, 2013. PDF
S. Schalekamp, B. van Ginneken, M. Brink, B. Heggelman, M. Spee, I. Somers, N. Karssemeijer and C. Schaefer-Prokop, ""Computer Aided Detection shows added value to Bone Suppression Imaging for the detection of lung nodules in chest radiographs"", WCTI, 2013. PDF
S. van Riel, E. van Rikxoort, C. Jacobs, S. Schalekamp, M. Prokop, B. van Ginneken, P. de Jong, E. Scholten, H. Gietema and C. Schaefer-Prokop, "Intra- and inter-reader variability of pulmonary nodule classification according to the Fleischner guidelines: clinical consequences", Annual Meeting of the Radiological Society of North America, 2013. PDF
C. Jacobs, J. Kuhnigk, E. van Rikxoort, T. Twellmann, P. de Jong, H. Gietema, B. Lassen, C. Schaefer-Prokop, M. Prokop and B. van Ginneken, "Optimized workflow for low dose thoracic CT lung cancer screening: automated detection, measurement, temporal matching and volumetry and mass analysis, individualized prediction of cancer risk, structured reporting with follow-up recommendation", Annual Meeting of the Radiological Society of North America, 2012. PDF
M. Schmidt, E. van Rikxoort, O. Mets, P. de Jong, P. Zanen, J. Kuhnigk and B. van Ginneken, "Relating Automatic Quantification of Airway Wall Thickness, Emphysema and Air Trapping in Inspiration and Expiration Chest CT Scans to COPD GOLD Stages", Annual Meeting of the Radiological Society of North America, 2012. PDF
A. Nair, S. Desai, C. J., A. Edey, S. Walsh, G. Robinson, J. Field, D. Baldwin, R. Vliegenthart, M. Oudkerk, B. van Ginneken, P. de Jong, M. Prokop, D. Hansell and A. Devaraj, "The impact of numbers of readers and methods of arbitration on pulmonary nodule detection in the context of lung cancer screening with CT", Annual Meeting of the European Society of Thoracic Imaging, 2012. PDF
B. Lassen, M. Schmidt, E. van Rikxoort, B. van Ginneken, C. Jacobs, J. Kuhnigk and M. Prokop, "Automated and interactive image analysis workstation for the extraction of imaging biomarkers related to chronic obstructive pulmonary disease from thoracic computed tomography scans", Annual Meeting of the Radiological Society of North America, 2012. PDF
S. Schalekamp, B. van Ginneken, L. Bax, M. Imhof-Tas, L. Meiss, A. Tiehuis, N. Karssemeijer and C. Schaefer-Prokop, "Bone suppression imaging improves observer performance for the detection of lung nodules in chest radiographs", Annual Meeting of the Radiological Society of North America, 2012. PDF
C. Jacobs, E. van Rikxoort, T. Twellmann, P. de Jong, C. Schaefer-Prokop, M. Prokop and B. van Ginneken, "Improved computer-aided detection of pulmonary nodules by combining a solid and subsolid nodule CAD system", Annual Meeting of the Radiological Society of North America, 2012. PDF
J. Melendez, C. Sánchez, B. van Ginneken and N. Karssemeijer, "Detection of breast carcinomas potentially missed during screening by means of a standalone CAD system", Annual Meeting of the Radiological Society of North America, 2012. PDF
L. Gallardo-Estrella, B. van Ginneken, O. Mets, P. Zanen, P. de Jong, C. Schaefer-Prokop and E. van Rikxoort, "Trachea Shape Analysis from Inspiration and Expiration Thoracic Computed Tomography Scans", Annual Meeting of the Radiological Society of North America, 2012. PDF
J. Mordang, M. Oei, R. van den Boom, H. Laue, L. Oostveen, M. Prokop, B. van Ginneken and R. Manniesing, "Effect of Dose Reduction in CT Perfusion Scans on Cerebral Blood Flow and Volume Computed with Three Perfusion Software Packages: Analysis with a Digital Phantom", Annual Meeting of the Radiological Society of North America, 2012. PDF
M. Schmidt, E. van Rikxoort, O. Mets, P. de Jong, J. Kuhnigk and B. van Ginneken, "Automatic Quantification of Airway Dimensions in COPD: Processing Large Databases of Chest CT scans", Annual Meeting of the Radiological Society of North America, 2012. PDF
C. Jacobs, E. Scholten, S. Saur, T. Twellmann, P. de Jong and B. van Ginneken, "Computer-Aided Detection of Ground Glass Nodules in Lung Cancer Screening: Retrospective Evaluation of Potential Benefit", European Congress of Radiology, 2012. PDF
M. Oei, R. van den Boom, L. Oostveen, S. Lafebre, E. Smit, B. van Ginneken, R. Manniesing and M. Prokop, "Hybrid digital phantom for optimizing data acquisition strategies in CT perfusion", European Congress of Radiology, 2012. PDF
B. van Ginneken, L. Hogeweg, P. Maduskar, L. Peters-Bax, R. Dawson, K. Dheda, H. Ayles, J. Melendez and C. Sánchez, "Performance of inexperienced and experienced observers in detection of active tuberculosis on digital chest radiographs with and without the use of computer-aided diagnosis", Annual Meeting of the Radiological Society of North America, 2012. PDF
L. Gallardo-Estrella, P. de Jong, O. Mets, B. van Ginneken and E. van Rikxoort, "Automatic classification of pulmonary function in COPD patients using trachea analysis in chest CT scans", Annual Meeting of the European Society of Thoracic Imaging, 2012. PDF
E. van Rikxoort, B. van Ginneken, M. Schmidt, A. Lahaije, H. van Helvoort, A. Prokop and Y. Heijdra, "Dynamic Hyperinflation in COPD Patients: Is It Related to Emphysema and Airway Morphology in Inspiration and Expiration Thoracic CT?", Annual Meeting of the Radiological Society of North America, 2012. PDF
S. Schalekamp, B. van Ginneken, L. Bax, M. Imhof-Tas, M. Snoeren, L. Quekel, E. Koedam, N. Karssemeijer and C. Schaefer-Prokop, "Bone suppression imaging improves observer performance for the detection of lung nodules in chest radiographs", Annual Meeting of the European Society of Thoracic Imaging, 2012. PDF
R. van den Boom, M. Oei, L. Oostveen, S. Lafebre, B. van Ginneken, R. Manniesing and M. Prokop, "Effect of radiation exposure on quantitative evaluation of cerebral CT perfusion maps: results from a hybrid digital phantom", European Congress of Radiology, 2012. PDF
S. Schalekamp, B. van Ginneken, L. Bax, M. Imhof-Tas, L. Meiss, A. Tiehuis, E. Koedam, L. Quekel, M. Snoeren, R. Wittenberg, N. Karssemeijer and C. Schaefer-Prokop, "Botsuppressie in thoraxfoto's verbetert de detectie van pulmonale nodules door radiologen", Radiologen Dagen, 2012. PDF
B. Lassen, E. van Rikxoort, J. Kuhnigk and B. van Ginneken, "Fast and Intuitive Interactive Lung Lobe Segmentation in Thoracic Computed Tomography Scans", Annual Meeting of the Radiological Society of North America, 2012. PDF
S. Schalekamp, B. van Ginneken, E. Koedam, L. Quekel, M. Snoeren, R. Wittenberg, N. Karssemeijer and C. Schaefer-Prokop, "Computer aided detection helps radiologists to detect pulmonary nodules in chest radiographs, when having bone suppressed images available", Annual Meeting of the Radiological Society of North America, 2012. PDF
E. Smit, E. Vonken, F. Meijer, J. Dankbaar, A. Horsch, B. van Ginneken, B. Velthuis, I. van der Schaaf and M. Prokop, "Acute Ischemic Stroke Assessment on CT-Angiography That Derived from CT-Perfusion Images", Annual Meeting of the Radiological Society of North America, 2012. PDF
M. van Grinsven, B. van Ginneken and C. Sánchez, "Web-based workstation for the analysis of color fundus images", ISBI Medical Image Analysis Workshop, 2012. PDF
M. van Grinsven, J. van de Ven, Y. Lechanteur, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic Drusen Detection and Quantification for Diagnosis of Age-Related Macular Degeneration", Association for Research in Vision and Ophthalmology, 2012. PDF
P. Maduskar, L. Hogeweg, H. Ayles, R. Dawson, P. de Jong and B. van Ginneken, "Automatic Size Measurement of Cavities on Chest Radiographs Using Supervised Learning and Dynamic Programming", Annual Meeting of the Radiological Society of North America, 2011. PDF
I. Išgum, P. de Jong, W. Mali, B. van Ginneken, M. Prokop and M. Viergever, "Automatic Coronary Calcium Scoring in Low-Dose Non-ECG-synchronized Chest Computed Tomography (CT) Scans from a Lung Cancer Screening Trial", Annual Meeting of the Radiological Society of North America, 2011. PDF
L. Hogeweg, A. Story, A. Hayward, R. Aldridge, I. Abubakar, P. Maduskar and B. van Ginneken, "Computer-aided detection of tuberculosis among high risk groups: potential for automated triage", Annual Meeting of the Radiological Society of North America, 2011. PDF
C. Jacobs, E. Scholten, S. Saur, T. Twellmann, P. de Jong and B. van Ginneken, "Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images", Annual Meeting of the Radiological Society of North America, 2011. PDF
L. Hogeweg, C. Mol, P. de Jong, H. Ayles, R. Dawson and B. van Ginneken, "Evaluation of a computer aided detection system for tuberculosis on chest radiographs in a high-burden setting", Annual Meeting of the Radiological Society of North America, 2010. PDF Cited by
C. Mol, B. van Ginneken, M. de Bruijne, P. de Jong, M. Oudkerk, A. Dirksen and P. Zanen, "Correction of Quantitative Emphysema Measures with Density Calibration Based on Measurements in the Trachea", Annual Meeting of the Radiological Society of North America, 2010. PDF Cited by
M. Niemeijer, M. Garvin, K. Lee, M. Sonka, B. van Ginneken and M. Abràmoff, "Automated Segmentation of the Retinal Vasculature Silhouettes in Isotropic 3D Optical Coherence Tomography Scans", Association for Research in Vision and Ophthalmology, 2009. PDF
A. Mendrik, E. Vonken, E. Smit, B. van Ginneken and M. Prokop, "Reduction of Venous Overprojection Using Cerebral Arteriograms from CT Perfusion Scans of Subarachnoid Hemorrhage Patients", Annual Meeting of the Radiological Society of North America, 2009. PDF
I. Išgum, B. van Ginneken, P. Jacobs, M. Gondrie, W. Mali and M. Prokop, "Automatic determination of cardiovascular risk from thoracic CT scans using a coronary calcium atlas", Annual Meeting of the Radiological Society of North America, 2009. PDF
E. van Rikxoort, M. Prokop, B. de Hoop, J. Pluim and B. van Ginneken, "Automatic Segmentation of the Pulmonary Lobes from Computed Tomography Chest CT Scans: Robustness Against Incomplete Fissures by Including Contextual Information", Annual Meeting of the Radiological Society of North America, 2009. PDF
I. Išgum, P. Jacobs, M. Gondrie, B. van Ginneken, M. Oudkerk, W. Mali, Y. van der Graaf and M. Prokop, "Cardiovascular risk assessment in lung cancer screening scans: do coronary and aortic calcium scores yield comparable risks for individual subjects?", European Congress of Radiology, 2009. PDF
B. de Hoop, P. Zanen, H. Gietema, B. van Ginneken, H. Groen and M. Prokop, "The Predictive Value of CT Quantified Pulmonary Emphysema on the Decline of Lung Function in Chronic Smokers: Results of a Long-term Follow-up Study", Annual Meeting of the Radiological Society of North America, 2009. PDF
B. van Ginneken, K. Murphy, E. van Rikxoort, I. Išgum, B. de Hoop, M. Prokop, P. de Jong and H. Gietema, "Quantification of Emphysema and Small Airway Disease in COPD Patients from Lobar Analysis of Volumetric Inspiration and Expiration Thoracic CT Scans", Annual Meeting of the Radiological Society of North America, 2009. PDF Cited by
K. Murphy, B. van Ginneken, J. Pluim, T. Altes, M. Prokop and E. de Lange, "Comparison of airflow defects in asthma patients assessed by breath-hold inspiration and expiration CT and by hyperpolarized helium-3 magnetic resonance imaging", Annual Meeting of the Radiological Society of North America, 2009. PDF
E. Smit, A. Mendrik, A. Waaijer, G. Bertolini, E. Vonken, B. van Ginneken and M. Prokop, "Reconstruction of high-quality CTA from noisy cerebral CT perfusion data", European Congress of Radiology, 2009. PDF
E. van Rikxoort, B. van Ginneken, J. Goldin, M. Brown and M. Prokop, "Automatic Quantification of Completeness of Pulmonary Fissures on a Large Database", Annual Meeting of the Radiological Society of North America, 2008. PDF
B. van Ginneken, E. van Rikxoort, W. Baggerman, B. de Hoop and M. Prokop, "Automatic Extraction and Anatomical Labeling of the Airway Tree from Inspiration and Expiration Thoracic CT Scans", Annual Meeting of the Radiological Society of North America, 2008. PDF
K. Murphy, B. van Ginneken, E. van Rikxoort, B. de Hoop, J. Pluim and M. Prokop, "Prediction of Obstructive Pulmonary Function by Quantitative Lobar Evaluation of Density Change between Inspiration and Expiration on Thoracic CT", Annual Meeting of the Radiological Society of North America, 2008. PDF Cited by
B. van Ginneken, B. de Hoop, E. van Rikxoort, K. Murphy and M. Prokop, "Relating Airway Morphology in Heavy Smokers to Pulmonary Function Impairment", Annual Meeting of the Radiological Society of North America, 2008. PDF
K. Murphy, M. Prokop, C. Schaefer-Prokop, H. Gietema, G. Nossent, B. van Ginneken, J. Pluim and Y. Arzhaeva, "Improved Efficiency of Assessment of Interstitial Lung Disease Progression in CT of the Chest by Visualisation of Automatically-registered Image Pairs", Annual Meeting of the Radiological Society of North America, 2008. PDF
B. de Hoop, H. Gietema, B. van Ginneken, P. Zanen and M. Prokop, "Variability of semi-automated pulmonary nodule volume measurements: A comparison of 6 lung nodule evaluation software packages", Annual Meeting of the Radiological Society of North America, 2008. PDF
B. de Hoop, B. van Ginneken, C. Schaefer-Prokop, P. de Jong, H. Gietema and M. Prokop, "Workup of suspicious lesions on digital chest radiography: estimation of the number of unnecessary follow-up CT scans in relation to the threshold of radiological suspicion on chest radiographs", Annual Meeting of the Radiological Society of North America, 2008. PDF
B. van Ginneken, B. de Hoop and M. Prokop, "Automatic Estimation of Three-Dimensional Lung Volume from Posterior-Anterior and Lateral Chest Radiographs", Annual Meeting of the Radiological Society of North America, 2008. PDF
A. Mendrik, E. Vonken, B. van Ginneken and M. Prokop, "Automatic segmentation of arteries and veins in 4D cerebral CT perfusion scans", Annual Meeting of the Radiological Society of North America, 2007:644. PDF
E. van Rikxoort, M. Prokop, B. de Hoop, H. Gietema and B. van Ginneken, "Automatic Estimation of Lobar and Segmental Variation of Emphysema Distribution in Chronic Smokers", Annual Meeting of the Radiological Society of North America, 2007:610. PDF
H. Gietema, P. Zanen, A. Schilham, B. van Ginneken, R. van Klaveren and M. Prokop, "Distribution of emphysema in heavy smokers: Impact on extent of airflow limitation and gas exchange impairment", Annual Meeting of the Radiological Society of North America, 2007:610. PDF
E. van Rikxoort, M. Prokop and B. van Ginneken, "Automatic Lung Segmentation from Chest CT Scans Using a Hybrid Algorithm Robust against Pathology", Annual Meeting of the Radiological Society of North America, 2007:267. PDF
I. Išgum, A. Rutten, M. Prokop and B. van Ginneken, "Automated Calcium Scoring in the Aorta in Low Dose Non-contrast-enhanced CT Scans of the Thorax", Annual Meeting of the Radiological Society of North America, 2007:405. PDF
Y. Arzhaeva, K. Murphy, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Application of computerized texture analysis of CT lung images for estimation of interstitial lung disease progression", Annual Meeting of the Radiological Society of North America, 2007:267. PDF
Y. Arzhaeva, M. Prokop, P. de Jong, C. Schaefer-Prokop and B. van Ginneken, "Computer-aided detection of interstitial abnormalities in chest radiographs", Annual Meeting of the Radiological Society of North America, 2007:407. PDF
B. van Ginneken, M. Klik, E. van Rikxoort, H. Gietema, J. Peters and M. Prokop, "Computer-aided diagnosis for distinguishing benign perifissural opacities from other pulmonary nodules in computed tomography chest scans", Annual Meeting of the Radiological Society of North America, 2006:598. PDF
E. van Rikxoort, H. Gietema, M. Prokop and B. van Ginneken, "Fully automatic segmentation of pulmonary segments from computed tomography chest scans", Annual Meeting of the Radiological Society of North America, 2006. PDF
B. van Ginneken, A. Schilham, H. Gietema and M. Prokop, "Automatic correction for the influence of inspiration on pulmonary emphysema quantification from multidetector CT scans", Annual Meeting of the Radiological Society of North America, 2005. PDF
B. van Ginneken, I. Sluimer, M. Prokop and I. Hartmann, "Automatic detection of the presence of hyperlucencies, fibrosis, ground-glass, consolidations, and focal abnormalities in high resolution CT (HRCT) lung data", Annual Meeting of the Radiological Society of North America, 2005:308. PDF
I. Išgum, A. Rutten, M. Prokop and B. van Ginneken, "Automated Calcium Scoring for Risk Assessment of Coronary Artery Disease", Annual Meeting of the Radiological Society of North America, 2005. PDF
A. Schilham and B. van Ginneken, "Computer-aided diagnosis as a second reader for nodule detection in chest radiographs versus single and double reading", European Congress of Radiology, 2005:205. PDF Cited by
A. Schilham, B. van Ginneken, H. Gietema and M. Prokop, "Noise Filtering for Reliable Emphysema Quantification in Thin-slice Low-dose CT Images", Annual Meeting of the Radiological Society of North America, 2005. PDF
M. Niemeijer, B. van Ginneken and M. Abràmoff, "Automatic Detection and Classification of Microaneurysms and Small Hemors in Colour Fundus Photographs", European Journal of Ophthalmology, 2003;13(2):226. PDF
A. Schilham, B. van Ginneken and M. Loog, "Influence of the Number of Training Samples for Computer-Aided Detection of Lung Nodules in Chest Radiographs", Annual Meeting of the Radiological Society of North America, 2003:523-524. PDF Cited by
I. Sluimer, P. van Waes and B. van Ginneken, "Texture analysis for automated classification of lung HRCT images", Annual Meeting of the Radiological Society of North America, 2003:647. PDF
T. van Walsum, B. van Ginneken, J. Staal, E. Vonken and M. Viergever, "ImageXplorer (iX), an integrated Windows NT programming environment for rapid development of medical imaging applications", European Congress of Radiology, 2000:166. PDF

PhD theses

A. Schreuder, "Lung cancer screening: use the scan to decide who to scan when", 2021. PDF URL
M. Meijs, "Automated Image Analysis and Machine Learning to Detect Cerebral Vascular Pathology in 4D-CTA", 2020. PDF
S. van Riel, "Malignancy risk estimation of screen-detected pulmonary nodules", 2020. PDF URL
R. Philipsen, "Automated chest radiography reading. Improvements, validation, and cost-effectiveness analysis", 2019. PDF URL
L. Estrella, "Quantification of COPD biomarkers in thoracic CT scans", 2019. PDF URL
E. Smit, "Feasibility of a single-acquisition CT stroke protocol", 2019. PDF
N. Lessmann, "Machine Learning based quantification of extrapulmonary diseases in chest CT", 2019. PDF URL
T. van den Heuvel, "Automated low-cost ultrasound: improving antenatal care in resource-limited settings", 2019. PDF URL
F. Venhuizen, "Machine Learning for Quantification of Age-Related Macular Degeneration Imaging Biomarkers in Optical Coherence Tomography", 2019. PDF
A. Setio, "Computer-aided diagnosis in thoracic CT scans for lung cancer screening", 2018. PDF URL
K. Chung, "Malignancy risk estimation of subsolid nodules", 2018. PDF URL
J. Charbonnier, "Segmentation & quantification of airways and blood vessels in chest CT", 2017. PDF URL
T. Kockelkorn, "Interactive texture analysis in chest CT Scans", 2017. PDF URL
M. van Grinsven, "Automated analysis of retinal images for detection of age-related macular degeneration and diabetic retinopathy", 2016. PDF URL
P. Maduskar, "Automated analysis of tuberculosis in chest radiographs", 2015. PDF URL
B. Lassen-Schmidt, "Automatic and Interactive Segmentation of Pulmonary Lobes and Nodules in Chest CT Images", 2015. PDF URL
C. Jacobs, "Automatic detection and characterization of pulmonary nodules in thoracic CT images", 2015. PDF URL
S. Schalekamp, "Advanced processing in chest radiography: impact on observer performance", 2015. PDF URL
J. Melendez, "Improving computer-aided detection systems through advanced pattern recognition techniques", 2015. PDF URL
S. Muenzing, "Learning-based approaches to deformable image registration", 2014. PDF URL
L. Hogeweg, "Automatic detection of tuberculosis in chest radiographs", 2013. PDF URL
K. Murphy, "Development and evaluation of automated image analysis techniques in thoracic CT", 2011. PDF URL
A. Mendrik, "Noise Reduction and Vascular Enhancement in 4D CT Perfusion Scans", 2010. PDF URL
B. de Hoop, "Lung Cancer Screening: Radiological Aspects", 2010. PDF URL
Y. Arzhaeva, "Computer-aided detection and quantification of interstitial lung disease from computed tomography and chest radiography", 2009. PDF URL
E. van Rikxoort, "Segmentation of anatomical structures in chest CT scans", 2009. PDF URL Cited by
I. Išgum, "Computer-aided detection and quantification of arterial calcifications with CT", 2007. PDF URL Cited by
M. Niemeijer, "Automatic detection of diabetic retinopathy in digital fundus photographs", 2006. PDF URL Cited by
I. Sluimer, "Automated image analysis of the pathological lung in CT", 2005. PDF URL
M. Loog, "Supervised Dimensionality Reduction and Contextual Pattern Recognition in Medical Image Processing", 2004. PDF URL
J. Staal, "Segmentation of elongated structures in medical images", 2004. PDF URL Cited by
B. van Ginneken, "Computer-aided diagnosis in chest radiography", 2001. PDF URL Cited by

Other publications

R. Beichel, M. de Bruijne, B. van Ginneken, S. Kabus, A. Kiraly, J. Kuhnigk, J. McClelland, K. Mori, E. van Rikxoort and S. Rit, "The Fourth International Workshop on Pulmonary Image Analysis", 2011. PDF URL
M. Brown, M. de Bruijne, B. van Ginneken, A. Kiraly, J. Kuhnigk, C. Lorenz, K. Mori and J. Reinhardt, "The Third International Workshop on Pulmonary Image Analysis", 2010. PDF URL
B. van Ginneken, K. Murphy, T. Heimann, V. Pekar and X. Deng, "Medical Image Analysis for the Clinic: a Grand Challenge", 2010. PDF URL
M. Brown, M. de Bruijne, B. van Ginneken, A. Kiraly, J. Kuhnigk, C. Lorenz, J. McClelland, K. Mori, A. Reeves and J. Reinhardt, "The Second International Workshop on Pulmonary Image Analysis", 2009. PDF URL
M. Brown, M. de Bruijne, B. van Ginneken, A. Kiraly, J. Kuhnigk, C. Lorenz, K. Mori and J. Reinhardt, "The First International Workshop on Pulmonary Image Analysis", 2008. PDF URL
T. Heimann, M. Styner and B. van Ginneken, "3D Segmentation in the Clinic: A Grand Challenge", 2007. PDF Cited by