Désiré Sidibé
Désiré Sidibé
Université d'Evry Val d'Essonne, Université Paris Saclay
Verified email at univ-evry.fr - Homepage
Cited by
Cited by
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
A survey on visual-based localization: On the benefit of heterogeneous data
N Piasco, D Sidibé, C Demonceaux, V Gouet-Brunet
Pattern Recognition 74, 90-109, 2018
Ghost detection and removal for high dynamic range images: Recent advances
A Srikantha, D Sidibé
Signal Processing: Image Communication 27 (6), 650-662, 2012
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
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), 1-12, 2017
Statistical atlas based exudate segmentation
S Ali, D Sidibé, KM Adal, L Giancardo, E Chaum, TP Karnowski, ...
Computerized Medical Imaging and Graphics 37 (5-6), 358-368, 2013
A spline-based non-linear diffeomorphism for multimodal prostate registration
J Mitra, Z Kato, R Martí, A Oliver, X Lladó, D Sidibé, S Ghose, JC Vilanova, ...
Medical image analysis 16 (6), 1259-1279, 2012
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
Ghost detection and removal in high dynamic range images
DD Sidibe, W Puech, O Strauss
Discrimination of retinal images containing bright lesions using sparse coded features and SVM
D Sidibé, I Sadek, F Mériaudeau
Computers in biology and medicine 62, 175-184, 2015
A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images
S Ghose, A Oliver, J Mitra, R Martí, X Lladó, J Freixenet, D Sidibé, ...
Medical image analysis 17 (6), 587-600, 2013
Background subtraction with multispectral video sequences
Y Benezeth, D Sidibé, JB Thomas
IEEE International Conference on Robotics and Automation workshop on Non …, 2014
An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images
D Sidibe, S Sankar, G Lemaitre, M Rastgoo, J Massich, CY Cheung, ...
Computer methods and programs in biomedicine 139, 109-117, 2017
A random forest based classification approach to prostate segmentation in MRI
S Ghose, J Mitra, A Oliver, R Marti, X Lladó, J Freixenet, JC Vilanova, ...
MICCAI Grand Challenge: Prostate MR Image Segmentation 2012, 125-128, 2012
Multiple features extraction for timber defects detection and classification using SVM
MM Hittawe, SM Muddamsetty, D Sidibé, F Mériaudeau
2015 IEEE International Conference on Image Processing (ICIP), 427-431, 2015
Automatic discrimination of color retinal images using the bag of words approach
I Sadek, D Sidibé, F Meriaudeau
Medical Imaging 2015: Computer-Aided Diagnosis 9414, 94141J, 2015
using visual saliency for object tracking wityh particle filters
D Sidibe, D Fofi, F Meriaudeau
A simple and efficient eye detection method in color images
D Sidibe, P Montesinos, S Janaqi
International Conference Image and Vision Computing New Zealand 2006, 385-390, 2006
Automated detection of microaneurysms using robust blob descriptors
K Adal, S Ali, D Sidibé, T Karnowski, E Chaum, F Mériaudeau
Medical Imaging 2013: Computer-Aided Diagnosis 8670, 86700N, 2013
Classification of melanoma lesions using sparse coded features and random forests
M Rastgoo, G Lemaître, O Morel, J Massich, R Garcia, F Meriaudeau, ...
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 97850C, 2016
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