Feedback on a publicly distributed image database: the Messidor database E Decencière, X Zhang, G Cazuguel, B Lay, B Cochener, C Trone, P Gain, ... Image Analysis and Stereology 33 (3), 231-234, 2014 | 1259 | 2014 |
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 |
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 |
Image filtering using morphological amoebas R Lerallut, É Decencière, F Meyer Image and Vision Computing 25 (4), 395-404, 2007 | 198 | 2007 |
Image filtering using morphological amoebas R Lerallut, É Decencière, F Meyer Mathematical Morphology: 40 Years On - Proceedings of the 7th International …, 2005 | 198 | 2005 |
The strong gravitational lens finding challenge RB Metcalf, M Meneghetti, C Avestruz, F Bellagamba, CR Bom, E Bertin, ... Astronomy & Astrophysics 625, A119, 2019 | 128 | 2019 |
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 | 127 | 2012 |
Waterpixels V Machairas, M Faessel, D Cárdenas-Peña, T Chabardes, T Walter, ... IEEE Transactions on Image Processing 24 (11), 3707-3716, 2015 | 124 | 2015 |
Interactive liver tumor segmentation using graph-cuts and watershed J Stawiaski, E Decenciere, F Bidault 11th international conference on medical image computing and computer …, 2008 | 106 | 2008 |
Determination of collagen fiber orientation in histological slides using Mueller microscopy and validation by second harmonic generation imaging S Bancelin, A Nazac, BH Ibrahim, P Dokládal, E Decencière, B Teig, ... Optics express 22 (19), 22561-22574, 2014 | 99 | 2014 |
Deep learning for galaxy surface brightness profile fitting D Tuccillo, M Huertas-Company, E Decencière, S Velasco-Forero, ... Monthly Notices of the Royal Astronomical Society 475 (1), 894-909, 2018 | 84 | 2018 |
Restauration automatique de films anciens E Decenciere École Nationale Supérieure des Mines de Paris, 1997 | 75* | 1997 |
Morphological decomposition of the surface topography of an internal combustion engine cylinder to characterize wear E Decencière, D Jeulin Wear 249 (5-6), 482-488, 2001 | 63 | 2001 |
Multiphoton Microscopy and Fluorescence Lifetime Imaging: Applications in Biology and Medicine T Baldeweck, M Balu, A Batista, W Vecker, VV Belousov, HG Breinig, ... Walter de Gruyter GmbH & Co KG, 2018 | 60 | 2018 |
Waterpixels: Superpixels based on the watershed transformation V Machairas, E Decencière, T Walter 2014 IEEE International Conference on Image Processing (ICIP), 4343-4347, 2014 | 52 | 2014 |
/sup 18/F-FDG PET images segmentation using morphological watershed: a phantom study P Tylski, G Bonniaud, E Decenciere, J Stawiaski, J Coulot, D Lefkopoulos, ... 2006 IEEE Nuclear Science Symposium Conference Record 4, 2063-2067, 2006 | 48 | 2006 |
Imaging and 3D morphological analysis of collagen fibrils H Altendorf, E Decencière, D Jeulin, PDS Peixoto, A DENISET‐BESSEAU, ... Journal of Microscopy 247 (2), 161-175, 2012 | 47 | 2012 |
On power Jaccard losses for semantic segmentation D Duque-Arias, S Velasco-Forero, JE Deschaud, F Goulette, A Serna, ... VISAPP 2021: 16th International Conference on Computer Vision Theory and …, 2021 | 44 | 2021 |
A new color augmentation method for deep learning segmentation of histological images Y Xiao, E Decencière, S Velasco-Forero, H Burdin, T Bornschlögl, ... 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019 | 42 | 2019 |
Automatic 3D segmentation of multiphoton images: a key step for the quantification of human skin E Decencière, E Tancrède‐Bohin, P Dokládal, S Koudoro, AM Pena, ... Skin research and technology 19 (2), 115-124, 2013 | 42 | 2013 |