Marc-Michel Rohé

29 papers B 2Journal 9Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Guiding the Classification of Hepatocellular Carcinoma on 3D CT-Scans Using Deep and Handcrafted Radiological Features. ISBI Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, C. Aubé, M. Ronot, Pietro Gori, Isabelle Bloch
2025	J	`jnl`	Guiding the classification of hepatocellular carcinoma on 3D CT-scans using deep and handcrafted radiological features. CoRR Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, C. Aubé, M. Ronot, Pietro Gori, Isabelle Bloch
2023	B	`conf`	Deformable registration of 3D CT images with partial liver. Image Processing Giovanni Palma, Greg Padiasek, Arkadiusz Sitek, Paul Dufort, Pedro L. Esquinas, Marc-Michel Rohé
2023	—	`conf`	Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection. AMAI@MICCAI Noëlie Debs, Alexandre Routier, Clément Abi Nader, Arnaud Marcoux, Alexandre Bône, Marc-Michel Rohé
2023	—	`conf`	Learning to Diagnose Cirrhosis from Radiological and Histological Labels with Joint Self and Weakly-Supervised Pretraining Strategies. ISBI Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2023	J	`jnl`	Learning to diagnose cirrhosis from radiological and histological labels with joint self and weakly-supervised pretraining strategies. CoRR Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2023	—	`conf`	Leveraging Multi-Phase CT for the Automatic Diagnosis of HCC with Deep Learning: Impacts of Lesion Localization and Phase Inclusion. ISBI Alexandre Bône, Marc-Michel Rohé
2023	J	`jnl`	Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. CoRR Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2023	—	`conf`	Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. CaPTion@MICCAI Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2023	—	`conf`	Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification. MICCAI (1) Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2023	J	`jnl`	Weakly-supervised positional contrastive learning: application to cirrhosis classification. CoRR Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2022	J	`jnl`	CoRe: An Automated Pipeline for The Prediction of Liver Resection Complexity from Preoperative CT Scans. CoRR Omar Ali, Alexandre Bône, Caterina Accardo, Omar Belkouchi, Marc-Michel Rohé, Eric Vibert, Irene E. Vignon-Clementel
2022	—	`conf`	CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans. AIIIMA/MIABID@MICCAI Omar Ali, Alexandre Bône, Caterina Accardo, Omar Belkouchi, Marc-Michel Rohé, Eric Vibert, Irene E. Vignon-Clementel
2022	—	`conf`	Improving the Automatic Segmentation of Elongated Organs Using Geometrical Priors. ISBI Rebeca Vétil, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2022	—	`conf`	Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection. MICCAI (2) Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2022	J	`jnl`	Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection. CoRR Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2022	B	`conf`	Learning to Jointly Segment the Liver, Lesions and Vessels from Partially Annotated Datasets. ICIP Omar Ali, Alexandre Bône, Marc-Michel Rohé, Eric Vibert, Irene E. Vignon-Clementel
2021	—	`conf`	Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance. ISBI Alexandre Bône, Samy Ammari, Jean-Philippe Lamarque, Mickael Elhaik, Emilie Chouzenoux, François Nicolas, Philippe Robert, Corinne Balleyguier, Nathalie Lassau, Marc-Michel Rohé
2018	J	`jnl`	Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin
2018	J	`jnl`	Low-dimensional representation of cardiac motion using Barycentric Subspaces: A new group-wise paradigm for estimation, analysis, and reconstruction. Medical Image Anal. Marc-Michel Rohé, Maxime Sermesant, Xavier Pennec
2018	J	`jnl`	Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia
2017	—	`conf`	Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net. STACOM@MICCAI Marc-Michel Rohé, Maxime Sermesant, Xavier Pennec
2017	—	`conf`	Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression. FIMH Shuman Jia, Claudia Camaioni, Marc-Michel Rohé, Pierre Jaïs, Xavier Pennec, Hubert Cochet, Maxime Sermesant
2017	—	`—`	Reduced Representation of Segmentation and Tracking in Cardiac Images for Group-Wise Longitudinal Analysis. (Représentation réduite de la segmentation et du suivi des images cardiaques pour l'analyse longitudinale de groupe). Marc-Michel Rohé
2017	—	`conf`	SVF-Net: Learning Deformable Image Registration Using Shape Matching. MICCAI (1) Marc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, Xavier Pennec
2016	—	`conf`	Barycentric Subspace Analysis: A New Symmetric Group-Wise Paradigm for Cardiac Motion Tracking. MICCAI (3) Marc-Michel Rohé, Maxime Sermesant, Xavier Pennec
2016	—	`conf`	Highly reduced model of the cardiac function for fast simulation. IVMSP Marc-Michel Rohé, Roch Molléro, Maxime Sermesant, Xavier Pennec
2015	—	`conf`	Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct. STACOM@MICCAI Marc-Michel Rohé, Nicolas Duchateau, Maxime Sermesant, Xavier Pennec
2015	—	`conf`	Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study. FIMH Roch Molléro, Dominik Neumann, Marc-Michel Rohé, Manasi Datar, Hervé Lombaert, Nicholas Ayache, Dorin Comaniciu, Olivier Ecabert, Marcello Chinali, Gabriele Rinelli, Xavier Pennec, Maxime Sermesant, Tommaso Mansi