| Diffeomorphic 3D image registration via geodesic shooting using an efficient adjoint calculation FX Vialard, L Risser, D Rueckert, CJ Cotter International Journal of Computer Vision 97, 229-241, 2012 | 231 | 2012 |
| Spatially adaptive mixture modeling for analysis of fMRI time series T Vincent, L Risser, P Ciuciu IEEE transactions on medical imaging 29 (4), 1059-1074, 2010 | 135 | 2010 |
| From homogeneous to fractal normal and tumorous microvascular networks in the brain L Risser, F Plouraboué, A Steyer, P Cloetens, G Le Duc, C Fonta Journal of Cerebral Blood Flow & Metabolism 27 (2), 293-303, 2007 | 131 | 2007 |
| Simultaneous multi-scale registration using large deformation diffeomorphic metric mapping L Risser, FX Vialard, R Wolz, M Murgasova, DD Holm, D Rueckert IEEE transactions on medical imaging 30 (10), 1746-1759, 2011 | 122 | 2011 |
| An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration BW Papież, MP Heinrich, J Fehrenbach, L Risser, JA Schnabel Medical image analysis 18 (8), 1299-1311, 2014 | 107 | 2014 |
| Piecewise-diffeomorphic image registration: Application to the motion estimation between 3D CT lung images with sliding conditions L Risser, FX Vialard, HY Baluwala, JA Schnabel Medical image analysis 17 (2), 182-193, 2013 | 102 | 2013 |
| A 3D-investigation shows that angiogenesis in primate cerebral cortex mainly occurs at capillary level L Risser, F Plouraboué, P Cloetens, C Fonta International Journal of Developmental Neuroscience 27 (2), 185-196, 2009 | 82 | 2009 |
| Gap filling of 3-D microvascular networks by tensor voting L Risser, F Plouraboué, X Descombes IEEE transactions on medical imaging 27 (5), 674-687, 2008 | 71 | 2008 |
| A survey of bias in machine learning through the prism of statistical parity P Besse, E del Barrio, P Gordaliza, JM Loubes, L Risser The American Statistician 76 (2), 188-198, 2022 | 67 | 2022 |
| Motion correction and parameter estimation in dceMRI sequences: application to colorectal cancer M Bhushan, JA Schnabel, L Risser, MP Heinrich, JM Brady, M Jenkinson Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 58 | 2011 |
| Hybrid feature-based diffeomorphic registration for tumor tracking in 2-D liver ultrasound images A Cifor, L Risser, D Chung, EM Anderson, JA Schnabel IEEE transactions on medical imaging 32 (9), 1647-1656, 2013 | 55 | 2013 |
| Simultaneous fine and coarse diffeomorphic registration: application to atrophy measurement in Alzheimer’s disease L Risser, FX Vialard, R Wolz, DD Holm, D Rueckert Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 43 | 2010 |
| Mixture of kernels and iterated semidirect product of diffeomorphisms groups M Bruveris, L Risser, FX Vialard Multiscale Modeling & Simulation 10 (4), 1344-1368, 2012 | 39 | 2012 |
| Cochlear shape reveals that the human organ of hearing is sex-typed from birth J Braga, C Samir, L Risser, J Dumoncel, D Descouens, JF Thackeray, ... Scientific reports 9 (1), 10889, 2019 | 36 | 2019 |
| A DCE-MRI driven 3-D reaction-diffusion model of solid tumor growth T Roque, L Risser, V Kersemans, S Smart, D Allen, P Kinchesh, ... IEEE transactions on medical imaging 37 (3), 724-732, 2017 | 36 | 2017 |
| Active learning for hyperspectral image classification: A comparative review R Thoreau, V Achard, L Risser, B Berthelot, X Briottet IEEE geoscience and remote sensing magazine 10 (3), 256-278, 2022 | 32 | 2022 |
| Transport-based counterfactual models L De Lara, A González-Sanz, N Asher, L Risser, JM Loubes Journal of Machine Learning Research 25 (136), 1-59, 2024 | 30 | 2024 |
| Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression JB Fiot, H Raguet, L Risser, LD Cohen, J Fripp, FX Vialard, ... NeuroImage: Clinical 4, 718-729, 2014 | 30 | 2014 |
| Coupling and robustness of intra-cortical vascular territories R Guibert, C Fonta, L Risser, F Plouraboué NeuroImage 62 (1), 408-417, 2012 | 29 | 2012 |
| Automatic segmentation of breast MR images through a Markov random field statistical model S Ribes, D Didierlaurent, N Decoster, E Gonneau, L Risser, V Feillel, ... IEEE transactions on medical imaging 33 (10), 1986-1996, 2014 | 28 | 2014 |
Julia A SchnabelTechnical University of Munich, Helmholtz Munich and King's College LondonAdresse e-mail validée de tum.de
