Следене
Désiré Sidibé
Désiré Sidibé
Université d'Evry-Paris Saclay
Потвърден имейл адрес: univ-evry.fr - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
2662012
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
2612018
Deep multimodal fusion for semantic image segmentation: A survey
Y Zhang, D Sidibé, O Morel, F Mériaudeau
Image and Vision Computing 105, 104042, 2021
2062021
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
1562014
Ghost detection and removal for high dynamic range images: Recent advances
A Srikantha, D Sidibé
Signal Processing: Image Communication 27 (6), 650-662, 2012
1462012
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
1382017
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 (1), 3298606, 2016
1152016
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
752013
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
752013
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
732015
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
662017
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
612012
Ghost detection and removal in high dynamic range images
DD Sidibe, W Puech, O Strauss
612009
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
522015
Background subtraction with multispectral video sequences
Y Benezeth, D Sidibé, JB Thomas
IEEE International Conference on Robotics and Automation workshop on Non …, 2014
492014
Learning scene geometry for visual localization in challenging conditions
N Piasco, D Sidibé, V Gouet-Brunet, C Demonceaux
2019 International Conference on Robotics and Automation (ICRA), 9094-9100, 2019
462019
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
452012
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, 398-405, 2015
382015
Exploration of deep learning-based multimodal fusion for semantic road scene segmentation
Y Zhang, O Morel, M Blanchon, R Seulin, M Rastgoo, D Sidibé
VISAPP 2019 14Th international conference on computer vision theory and …, 2019
362019
Classification of melanoma lesions using sparse coded features and random forests
M Rastgoo, G Lemaître, O Morel, J Massich, R Garcia, F Mériaudeau, ...
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 73-81, 2016
362016
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