| 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 | 636 | 2009 |
| Deep image mining for diabetic retinopathy screening G Quellec, K Charriere, Y Boudi, B Cochener, M Lamard Medical image analysis 39, 178-193, 2017 | 490 | 2017 |
| TeleOphta: Machine learning and image processing methods for teleophthalmology E Decenciere, G Cazuguel, X Zhang, G Thibault, JC Klein, F Meyer, ... Irbm 34 (2), 196-203, 2013 | 484 | 2013 |
| Optimal wavelet transform for the detection of microaneurysms in retina photographs G Quellec, M Lamard, PM Josselin, G Cazuguel, B Cochener, C Roux IEEE transactions on medical imaging 27 (9), 1230-1241, 2008 | 456 | 2008 |
| Automated analysis of retinal images for detection of referable diabetic retinopathy MD Abràmoff, JC Folk, DP Han, JD Walker, DF Williams, SR Russell, ... JAMA ophthalmology 131 (3), 351-357, 2013 | 437 | 2013 |
| Automated early detection of diabetic retinopathy MD Abràmoff, JM Reinhardt, SR Russell, JC Folk, VB Mahajan, ... Ophthalmology 117 (6), 1147-1154, 2010 | 324 | 2010 |
| Exudate detection in color retinal images for mass screening of diabetic retinopathy X Zhang, G Thibault, E Decencière, B Marcotegui, B Laÿ, R Danno, ... Medical image analysis 18 (7), 1026-1043, 2014 | 309 | 2014 |
| Wavelet optimization for content-based image retrieval in medical databases G Quellec, M Lamard, G Cazuguel, B Cochener, C Roux Medical image analysis 14 (2), 227-241, 2010 | 267 | 2010 |
| Three-dimensional analysis of retinal layer texture: identification of fluid-filled regions in SD-OCT of the macula G Quellec, K Lee, M Dolejsi, MK Garvin, MD Abramoff, M Sonka IEEE transactions on medical imaging 29 (6), 1321-1330, 2010 | 256 | 2010 |
| Multiple-instance learning for medical image and video analysis G Quellec, G Cazuguel, B Cochener, M Lamard IEEE reviews in biomedical engineering 10, 213-234, 2017 | 250 | 2017 |
| Idrid: Diabetic retinopathy–segmentation and grading challenge P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ... Medical image analysis 59, 101561, 2020 | 249 | 2020 |
| Validating retinal fundus image analysis algorithms: issues and a proposal E Trucco, A Ruggeri, T Karnowski, L Giancardo, E Chaum, ... Investigative ophthalmology & visual science 54 (5), 3546-3559, 2013 | 202 | 2013 |
| Optimal filter framework for automated, instantaneous detection of lesions in retinal images G Quellec, SR Russell, MD Abràmoff IEEE Transactions on medical imaging 30 (2), 523-533, 2010 | 152 | 2010 |
| Retinal fundus multi-disease image dataset (RFMiD): a dataset for multi-disease detection research S Pachade, P Porwal, D Thulkar, M Kokare, G Deshmukh, ... Data 6 (2), 14, 2021 | 141 | 2021 |
| Adaptive nonseparable wavelet transform via lifting and its application to content-based image retrieval G Quellec, M Lamard, G Cazuguel, B Cochener, C Roux IEEE transactions on image processing 19 (1), 25-35, 2009 | 134 | 2009 |
| A multiple-instance learning framework for diabetic retinopathy screening G Quellec, M Lamard, MD Abràmoff, E Decencière, B Lay, A Erginay, ... Medical image analysis 16 (6), 1228-1240, 2012 | 126 | 2012 |
| Fast wavelet-based image characterization for highly adaptive image retrieval G Quellec, M Lamard, G Cazuguel, B Cochener, C Roux IEEE Transactions on Image Processing 21 (4), 1613-1623, 2011 | 125 | 2011 |
| CATARACTS: Challenge on automatic tool annotation for cataRACT surgery H Al Hajj, M Lamard, PH Conze, S Roychowdhury, X Hu, G Maršalkaitė, ... Medical image analysis 52, 24-41, 2019 | 114 | 2019 |
| Quantitative analysis of fluorescence lifetime measurements of the macula using the fluorescence lifetime imaging ophthalmoscope in healthy subjects C Dysli, G Quellec, M Abegg, MN Menke, U Wolf-Schnurrbusch, J Kowal, ... Investigative ophthalmology & visual science 55 (4), 2106-2113, 2014 | 108 | 2014 |
| Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks H Al Hajj, M Lamard, PH Conze, B Cochener, G Quellec Medical image analysis 47, 203-218, 2018 | 97 | 2018 |
