| Time‐domain semi‐parametric estimation based on a metabolite basis set H Ratiney, M Sdika, Y Coenradie, S Cavassila, D Ormondt, ... NMR in Biomedicine: An International Journal Devoted to the Development and …, 2005 | 383 | 2005 |
| A fast nonrigid image registration with constraints on the Jacobian using large scale constrained optimization M Sdika IEEE transactions on medical imaging 27 (2), 271-281, 2008 | 144 | 2008 |
| Framework for integrated MRI average of the spinal cord white and gray matter: the MNI–Poly–AMU template VS Fonov, A Le Troter, M Taso, B De Leener, G Lévêque, M Benhamou, ... Neuroimage 102, 817-827, 2014 | 129 | 2014 |
| Nonrigid registration of multiple sclerosis brain images using lesion inpainting for morphometry or lesion mapping M Sdika, D Pelletier Human brain mapping 30 (4), 1060-1067, 2009 | 127 | 2009 |
| Magnetic resonance spectroscopy quantification using deep learning N Hatami, M Sdika, H Ratiney Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 75 | 2018 |
| A genome-wide association study of brain lesion distribution in multiple sclerosis PA Gourraud, M Sdika, P Khankhanian, RG Henry, A Beheshtian, ... Brain 136 (4), 1012-1024, 2013 | 75 | 2013 |
| Semi-supervised learning for segmentation under semantic constraint PA Ganaye, M Sdika, H Benoit-Cattin Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 65 | 2018 |
| Construction of an in vivo human spinal cord atlas based on high-resolution MR images at cervical and thoracic levels: preliminary results M Taso, A Le Troter, M Sdika, JP Ranjeva, M Guye, M Bernard, V Callot Magnetic Resonance Materials in Physics, Biology and Medicine 27, 257-267, 2014 | 64 | 2014 |
| Combining atlas based segmentation and intensity classification with nearest neighbor transform and accuracy weighted vote M Sdika Medical Image Analysis 14 (2), 219-226, 2010 | 63 | 2010 |
| Individual muscle segmentation in MR images: a 3D propagation through 2D non-linear registration approaches A Ogier, M Sdika, A Foure, A Le Troter, D Bendahan 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 60 | 2017 |
| Boundary conditions for Young-van Vliet recursive filtering B Triggs, M Sdika IEEE Transactions on Signal Processing 54 (6), 2365-2367, 2006 | 59 | 2006 |
| Automatic spinal cord localization, robust to MRI contrasts using global curve optimization C Gros, B De Leener, SM Dupont, AR Martin, MG Fehlings, R Bakshi, ... Medical image analysis 44, 215-227, 2018 | 52 | 2018 |
| A reliable spatially normalized template of the human spinal cord—Applications to automated white matter/gray matter segmentation and tensor-based morphometry (TBM) mapping of … M Taso, A Le Troter, M Sdika, J Cohen-Adad, PJ Arnoux, M Guye, ... Neuroimage 117, 20-28, 2015 | 49 | 2015 |
| Removing segmentation inconsistencies with semi-supervised non-adjacency constraint PA Ganaye, M Sdika, B Triggs, H Benoit-Cattin Medical image analysis 58, 101551, 2019 | 45 | 2019 |
| MRI-based radiomics to predict lipomatous soft tissue tumors malignancy: a pilot study B Leporq, A Bouhamama, F Pilleul, F Lame, C Bihane, M Sdika, JY Blay, ... Cancer Imaging 20, 1-8, 2020 | 34 | 2020 |
| Whole brain voxel-wise analysis of single-subject serial DTI by permutation testing SW Chung, D Pelletier, M Sdika, Y Lu, JI Berman, RG Henry Neuroimage 39 (4), 1693-1705, 2008 | 34 | 2008 |
| Bootstrap quantification of cardiac pulsation artifact in DTI SW Chung, B Courcot, M Sdika, K Moffat, C Rae, RG Henry Neuroimage 49 (1), 631-640, 2010 | 32 | 2010 |
| Optimal spectral combination of a hyperspectral camera for intraoperative hemodynamic and metabolic brain mapping C Caredda, L Mahieu-Williame, R Sablong, M Sdika, J Guyotat, B Montcel Applied Sciences 10 (15), 5158, 2020 | 27 | 2020 |
| Reproducibility of in vivo magnetic resonance imaging T1rho and T2 relaxation time measurements of hip cartilage at 3.0T in healthy volunteers A Nemeth, L Di Marco, F Boutitie, M Sdika, D Grenier, M Rabilloud, O Beuf, ... Journal of Magnetic Resonance Imaging 47 (4), 1022-1033, 2018 | 27 | 2018 |
| Automatic segmentation of the cerebral ventricle in neonates using deep learning with 3d reconstructed freehand ultrasound imaging M Martin, B Sciolla, M Sdika, X Wang, P Quetin, P Delachartre 2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018 | 26 | 2018 |
