| 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 | 257 | 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 | 254 | 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 | 164 | 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 | 153 | 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 | 142 | 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 | 133 | 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 | 110 | 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 | 74 | 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 | 72 | 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 | 69 | 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 | 58 | 2009 |
| Background subtraction with multispectral video sequences Y Benezeth, D Sidibé, JB Thomas IEEE International Conference on Robotics and Automation workshop on Non …, 2014 | 47 | 2014 |
| 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 | 46 | 2015 |
| 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 | 44 | 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 | 43 | 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 | 38 | 2015 |
| 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 | 35 | 2016 |
| Classification of SD-OCT volumes with LBP: application to DME detection G Lemaître, M Rastgoo, J Massich, S Sankar, F Mériaudeau, D Sidibé Proceedings of the Ophthalmic Medical Image Analysis International Workshop …, 2015 | 33 | 2015 |
Fabrice MeriaudeauFull professor, ICMUB UMR CNRS 6302 , Medical Imaging group,Université de Bourgogne在 u-bourgogne.fr 的电子邮件经过验证
