| A survey on deep learning in medical image analysis G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi, M Ghafoorian, ... Medical image analysis 42, 60-88, 2017 | 4662 | 2017 |
| Ridge-based vessel segmentation in color images of the retina J Staal, MD Abràmoff, M Niemeijer, MA Viergever, B Van Ginneken IEEE transactions on medical imaging 23 (4), 501-509, 2004 | 2899 | 2004 |
| Reflectance and texture of real-world surfaces KJ Dana, B Van Ginneken, SK Nayar, JJ Koenderink ACM Transactions On Graphics (TOG) 18 (1), 1-34, 1999 | 1774 | 1999 |
| Guest editorial deep learning in medical imaging: Overview and future promise of an exciting new technique H Greenspan, B Van Ginneken, RM Summers IEEE Transactions on Medical Imaging 35 (5), 1153-1159, 2016 | 1087 | 2016 |
| Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017 | 1009 | 2017 |
| Comparative study of retinal vessel segmentation methods on a new publicly available database M Niemeijer, J Staal, B van Ginneken, M Loog, MD Abramoff Medical imaging 2004: image processing 5370, 648-656, 2004 | 883 | 2004 |
| Comparison and evaluation of methods for liver segmentation from CT datasets T Heimann, B Van Ginneken, MA Styner, Y Arzhaeva, V Aurich, C Bauer, ... IEEE transactions on medical imaging 28 (8), 1251-1265, 2009 | 859 | 2009 |
| Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks AAA Setio, F Ciompi, G Litjens, P Gerke, C Jacobs, SJ Van Riel, ... IEEE transactions on medical imaging 35 (5), 1160-1169, 2016 | 687 | 2016 |
| Active shape model segmentation with optimal features B Van Ginneken, AF Frangi, JJ Staal, BM ter Haar Romeny, MA Viergever Medical Imaging, IEEE Transactions on 21 (8), 924-933, 2002 | 667 | 2002 |
| Computer analysis of computed tomography scans of the lung: a survey I Sluimer, A Schilham, M Prokop, B Van Ginneken IEEE transactions on medical imaging 25 (4), 385-405, 2006 | 641 | 2006 |
| Computer-aided diagnosis in chest radiography: a survey B Van Ginneken, BMTH Romeny, MA Viergever IEEE Transactions on medical imaging 20 (12), 1228-1241, 2001 | 624 | 2001 |
| Automatic detection of red lesions in digital color fundus photographs M Niemeijer, B Van Ginneken, J Staal, MSA Suttorp-Schulten, ... IEEE Transactions on medical imaging 24 (5), 584-592, 2005 | 604 | 2005 |
| Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis G Litjens, CI Sánchez, N Timofeeva, M Hermsen, I Nagtegaal, I Kovacs, ... Scientific reports 6, 26286, 2016 | 565 | 2016 |
| Large scale deep learning for computer aided detection of mammographic lesions T Kooi, G Litjens, B Van Ginneken, A Gubern-Mérida, CI Sánchez, ... Medical image analysis 35, 303-312, 2017 | 498 | 2017 |
| Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs M Niemeijer, B Van Ginneken, MJ Cree, A Mizutani, G Quellec, ... IEEE transactions on medical imaging 29 (1), 185-195, 2009 | 474 | 2009 |
| Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database B Van Ginneken, MB Stegmann, M Loog Medical image analysis 10 (1), 19-40, 2006 | 436 | 2006 |
| Multi-atlas-based segmentation with local decision fusion—application to cardiac and aortic segmentation in CT scans I Isgum, M Staring, A Rutten, M Prokop, MA Viergever, B Van Ginneken IEEE transactions on medical imaging 28 (7), 1000-1010, 2009 | 406 | 2009 |
| Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ... IEEE transactions on medical imaging 30 (11), 1901-1920, 2011 | 403 | 2011 |
| Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis M Niemeijer, B van Ginneken, SR Russell, MSA Suttorp-Schulten, ... Investigative Ophthalmology & Visual Science 48 (5), 2260-2267, 2007 | 403 | 2007 |
| Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge AAA Setio, A Traverso, T De Bel, MSN Berens, C van den Bogaard, ... Medical image analysis 42, 1-13, 2017 | 360 | 2017 |
Mathias ProkopProfessor of Radiology, RadboudumcVerified email at radboudumc.nl
