| 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 | 9821 | 2017 |
| 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 | 1187 | 2016 |
| 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 (1), 1-11, 2016 | 956 | 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 | 927 | 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 | 582 | 2009 |
| Fast convolutional neural network training using selective data sampling: Application to hemorrhage detection in color fundus images MJJP Van Grinsven, B van Ginneken, CB Hoyng, T Theelen, CI Sánchez IEEE transactions on medical imaging 35 (5), 1273-1284, 2016 | 485 | 2016 |
| Analysis of regularity in the EEG background activity of Alzheimer's disease patients with Approximate Entropy D Abásolo, R Hornero, P Espino, J Poza, CI Sánchez, R de la Rosa Clinical neurophysiology 116 (8), 1826-1834, 2005 | 295 | 2005 |
| Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities M Ghafoorian, N Karssemeijer, T Heskes, IWM van Uden, CI Sanchez, ... Scientific Reports 7 (1), 1-12, 2017 | 259 | 2017 |
| Retinal image analysis based on mixture models to detect hard exudates CI Sánchez, M García, A Mayo, MI López, R Hornero Medical Image Analysis 13 (4), 650-658, 2009 | 232 | 2009 |
| Neural network based detection of hard exudates in retinal images M García, CI Sánchez, MI López, D Abásolo, R Hornero Computer Methods and programs in biomedicine 93 (1), 9-19, 2009 | 223 | 2009 |
| A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis CI Sanchez, R Hornero, MI Lopez, M Aboy, J Poza, D Abasolo Medical engineering & physics 30 (3), 350-357, 2008 | 203 | 2008 |
| Observer variability for classification of pulmonary nodules on low-dose CT images and its effect on nodule management SJ van Riel, CI Sánchez, AA Bankier, DP Naidich, J Verschakelen, ... Radiology 277 (3), 863-871, 2015 | 182 | 2015 |
| Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning JJ Gómez-Valverde, A Antón, G Fatti, B Liefers, A Herranz, A Santos, ... Biomedical optics express 10 (2), 892-913, 2019 | 170 | 2019 |
| RETOUCH: the retinal OCT fluid detection and segmentation benchmark and challenge H Bogunović, F Venhuizen, S Klimscha, S Apostolopoulos, ... IEEE transactions on medical imaging 38 (8), 1858-1874, 2019 | 139 | 2019 |
| Evaluation of a computer-aided diagnosis system for diabetic retinopathy screening on public data CI Sánchez, M Niemeijer, AV Dumitrescu, MSA Suttorp-Schulten, ... Investigative ophthalmology & visual science 52 (7), 4866-4871, 2011 | 132 | 2011 |
| Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy CI Sánchez, R Hornero, MI Lopez, J Poza The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004 | 125 | 2004 |
| Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography FG Venhuizen, B van Ginneken, B Liefers, F van Asten, V Schreur, ... Biomedical optics express 9 (4), 1545-1569, 2018 | 123 | 2018 |
| An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information J Melendez, CI Sánchez, RHHM Philipsen, P Maduskar, R Dawson, ... Scientific reports 6 (1), 25265, 2016 | 119 | 2016 |
| Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks FG Venhuizen, B van Ginneken, B Liefers, MJJP van Grinsven, S Fauser, ... Biomedical optics express 8 (7), 3292-3316, 2017 | 117 | 2017 |
| A novel multiple-instance learning-based approach to computer-aided detection of tuberculosis on chest X-rays J Melendez, B Van Ginneken, P Maduskar, RHHM Philipsen, K Reither, ... IEEE transactions on medical imaging 34 (1), 179-192, 2014 | 112 | 2014 |
Bram van GinnekenProfessor of Medical Image Analysis, Radboud UniversityVerified email at radboudumc.nl
