| Indian Diabetic Retinopathy Image Dataset (IDRiD) FM Prasanna Porwal, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish ... IEEE Dataport: http://dx.doi.org/10.21227/H25W98, 2018 | 608* | 2018 |
| Exudate-based diabetic macular edema detection in fundus images using publicly available datasets L Giancardo, F Meriaudeau, TP Karnowski, Y Li, S Garg, KW Tobin Jr, ... Medical image analysis 16 (1), 216-226, 2012 | 378 | 2012 |
| Computer-aided detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: a review G Lemaître, R Martí, J Freixenet, JC Vilanova, PM Walker, F Meriaudeau Computers in biology and medicine 60, 8-31, 2015 | 333 | 2015 |
| A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images S Ghose, A Oliver, R Martí, X Lladó, JC Vilanova, J Freixenet, J Mitra, ... Computer methods and programs in biomedicine 108 (1), 262-287, 2012 | 250 | 2012 |
| 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 | 206 | 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 | 196 | 2013 |
| Active lighting applied to three-dimensional reconstruction of specular metallic surfaces by polarization imaging O Morel, C Stolz, F Meriaudeau, P Gorria Applied optics 45 (17), 4062-4068, 2006 | 188 | 2006 |
| Heart rate estimation using facial video: A review MA Hassan, AS Malik, D Fofi, N Saad, B Karasfi, YS Ali, F Meriaudeau Biomedical Signal Processing and Control 38, 346-360, 2017 | 180 | 2017 |
| Automatic assessment of depression based on visual cues: A systematic review A Pampouchidou, PG Simos, K Marias, F Meriaudeau, F Yang, ... IEEE Transactions on Affective Computing 10 (4), 445-470, 2017 | 178 | 2017 |
| Automated detection of microaneurysms using scale-adapted blob analysis and semi-supervised learning KM Adal, D Sidibé, S Ali, E Chaum, TP Karnowski, F Mériaudeau Computer methods and programs in biomedicine 114 (1), 1-10, 2014 | 141 | 2014 |
| Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models K Shen, J Fripp, F Mériaudeau, G Chételat, O Salvado, P Bourgeat, ... Neuroimage 59 (3), 2155-2166, 2012 | 131 | 2012 |
| MFCC-based recurrent neural network for automatic clinical depression recognition and assessment from speech E Rejaibi, A Komaty, F Meriaudeau, S Agrebi, A Othmani Biomedical Signal Processing and Control 71, 103107, 2022 | 129 | 2022 |
| Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images K Alsaih, G Lemaitre, M Rastgoo, J Massich, D Sidibé, F Meriaudeau Biomedical engineering online 16, 1-12, 2017 | 124 | 2017 |
| Scanning from heating: 3D shape estimation of transparent objects from local surface heating G Eren, O Aubreton, F Meriaudeau, LAS Secades, D Fofi, AT Naskali, ... Optics express 17 (14), 11457-11468, 2009 | 119 | 2009 |
| Deep multimodal fusion for semantic image segmentation: A survey Y Zhang, D Sidibé, O Morel, F Mériaudeau Image and Vision Computing 105, 104042, 2021 | 108 | 2021 |
| Classification of SD-OCT volumes using local binary patterns: experimental validation for DME detection G Lemaître, M Rastgoo, J Massich, CY Cheung, TY Wong, E Lamoureux, ... Journal of ophthalmology 2016, 2016 | 105 | 2016 |
| Depression assessment by fusing high and low level features from audio, video, and text A Pampouchidou, O Simantiraki, A Fazlollahi, M Pediaditis, D Manousos, ... Proceedings of the 6th international workshop on audio/visual emotion …, 2016 | 104 | 2016 |
| 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 | 99 | 2021 |
| Automatic retina exudates segmentation without a manually labelled training set L Giancardo, F Meriaudeau, TP Karnowski, Y Li, KW Tobin, E Chaum 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 99 | 2011 |
| Deep-learning: A potential method for tuberculosis detection using chest radiography R Hooda, S Sofat, S Kaur, A Mittal, F Meriaudeau 2017 IEEE International Conference on Signal and Image Processing …, 2017 | 98 | 2017 |
Désiré SidibéUniversité d'Evry-Paris SaclayVerified email at univ-evry.fr
