Désiré Sidibé

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Fabrice MeriaudeauUniversité Bourgogne Europe, ICMUB UMR CNRS 6302 , Medical Imaging groupDirección de correo verificada de ube.fr
Robert Martí Marly (ORCID 0000-0002...Associate Professor. University of GironaDirección de correo verificada de udg.edu
Jhimli MitraPrincipal Scientist - Computer Vision, GE HealthCare Technology & Innovation CenterDirección de correo verificada de ge.com
Cédric DemonceauxUniversité Bourgogne Europe - ICB UMR CNRS 6303Dirección de correo verificada de ube.fr
Xavier LladoFull Professor. ICREA Academia. University of Girona.Dirección de correo verificada de eia.udg.edu
Soumya GhosePrincipal Scientist - Artificial Intelligence, GE HealthCareDirección de correo verificada de ge.com
Arnau OliverUniversitat de GironaDirección de correo verificada de eia.udg.edu
Olivier MorelAssociate Professor / Maître de Conférences HDR, Université de BourgogneDirección de correo verificada de u-bourgogne.fr
Mojdeh RastgooPost-doc, Le2i Laboratory, Universite de Bourgogne, Le CreusotDirección de correo verificada de u-bourgogne.fr
Guillaume Lemaître:probabl.Dirección de correo verificada de probabl.ai
Joan Massichsoftware engineer @disneyDirección de correo verificada de disney.com
Nathan PiascoHuawei Technologies France, Boulogne Research Center, Internet of Vehicle TeamDirección de correo verificada de huawei.com
Gouet-Brunet ValerieSenior researcher, French Mapping Agency (IGN)Dirección de correo verificada de ign.fr
Sharib AliUniversity of Leeds, School of Computer ScienceDirección de correo verificada de leeds.ac.uk
Thomas KarnowskiOak Ridge National LaboratoryDirección de correo verificada de ornl.gov
Edward ChaumMargy Ann and J Donald M Gass Chair and Professor of Ophthalmology and Visual SciencesDirección de correo verificada de vumc.org
Yifei ZhangUniversite de Bourgogne/CNRS-VIBOTDirección de correo verificada de u-bourgogne.fr
Carol Y Cheung, PhDDepartment of Ophthalmology and Visual Sciences, Faculty of Medicine, The Chinese University of HongDirección de correo verificada de cuhk.edu.hk
Ecosse LamoureuxProfessorDirección de correo verificada de unimelb.edu.au
Fabien BonardiLitis, Université de RouenDirección de correo verificada de litislab.fr

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Désiré Sidibé

Université d'Evry-Paris Saclay

Dirección de correo verificada de univ-evry.fr - Página principal

Computer vision Machine Learning Autonomous Vehicles Medical Imaging


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	266	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	263	2018
Deep multimodal fusion for semantic image segmentation: A survey Y Zhang, D Sidibé, O Morel, F Mériaudeau Image and Vision Computing 105, 104042, 2021	213	2021
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	160	2014
Ghost detection and removal for high dynamic range images: Recent advances A Srikantha, D Sidibé Signal Processing: Image Communication 27 (6), 650-662, 2012	146	2012
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	139	2017
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	115	2016
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	75	2013
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	75	2013
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	73	2015
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	66	2017
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	61	2012
Ghost detection and removal in high dynamic range images DD Sidibe, W Puech, O Strauss	61	2009
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	52	2015
Background subtraction with multispectral video sequences Y Benezeth, D Sidibé, JB Thomas IEEE International Conference on Robotics and Automation workshop on Non …, 2014	49	2014
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	46	2019
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	46	2012
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	40	2015
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	38	2019
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	36	2016

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