| 2023 | MICCAI | Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection. | Nolie Debs, Alexandre Routier, Clment Abi Nader, Arnaud Marcoux, Alexandre Bne, Marc-Michel Roh |
| 2023 | MICCAI | Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification. | Emma Sarfati, Alexandre Bne, Marc-Michel Roh, Pietro Gori, Isabelle Bloch |
| 2023 | MICCAI | Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. | Rebeca Vtil, Clment Abi Nader, Alexandre Bne, Marie-Pierre Vullierme, Marc-Michel Roh, Pietro Gori, Isabelle Bloch |
| 2022 | ICIP | Learning to Jointly Segment the Liver, Lesions and Vessels from Partially Annotated Datasets. | Omar Ali, Alexandre Bne, Marc-Michel Roh, Eric Vibert, Irene E. Vignon-Clementel |
| 2022 | MICCAI | CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans. | Omar Ali, Alexandre Bne, Caterina Accardo, Omar Belkouchi, Marc-Michel Roh, Eric Vibert, Irene E. Vignon-Clementel |
| 2022 | MICCAI | Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection. | Rebeca Vtil, Clment Abi Nader, Alexandre Bne, Marie-Pierre Vullierme, Marc-Michel Roh, Pietro Gori, Isabelle Bloch |
| 2017 | MICCAI | SVF-Net: Learning Deformable Image Registration Using Shape Matching. | Marc-Michel Roh, Manasi Datar, Tobias Heimann, Maxime Sermesant, Xavier Pennec |
| 2017 | MICCAI | Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net. | Marc-Michel Roh, Maxime Sermesant, Xavier Pennec |
| 2016 | MICCAI | Barycentric Subspace Analysis: A New Symmetric Group-Wise Paradigm for Cardiac Motion Tracking. | Marc-Michel Roh, Maxime Sermesant, Xavier Pennec |
| 2015 | MICCAI | Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct. | Marc-Michel Roh, Nicolas Duchateau, Maxime Sermesant, Xavier Pennec |