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Marc-Michel Rohé
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2020 – today
- 2023
- [c18]Alexandre Bône, Marc-Michel Rohé:
Leveraging Multi-Phase CT for the Automatic Diagnosis of HCC with Deep Learning: Impacts of Lesion Localization and Phase Inclusion. ISBI 2023: 1-5 - [c17]Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Learning to Diagnose Cirrhosis from Radiological and Histological Labels with Joint Self and Weakly-Supervised Pretraining Strategies. ISBI 2023: 1-4 - [c16]Noëlie Debs
, Alexandre Routier
, Clément Abi Nader
, Arnaud Marcoux, Alexandre Bône
, Marc-Michel Rohé:
Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection. AMAI@MICCAI 2023: 42-51 - [c15]Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. CaPTion@MICCAI 2023: 68-82 - [c14]Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification. MICCAI (1) 2023: 227-237 - [c13]Giovanni Palma, Greg Padiasek, Arkadiusz Sitek
, Paul Dufort, Pedro L. Esquinas, Marc-Michel Rohé:
Deformable registration of 3D CT images with partial liver. Medical Imaging: Image Processing 2023 - [i5]Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Learning to diagnose cirrhosis from radiological and histological labels with joint self and weakly-supervised pretraining strategies. CoRR abs/2302.08427 (2023) - [i4]Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Weakly-supervised positional contrastive learning: application to cirrhosis classification. CoRR abs/2307.04617 (2023) - [i3]Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. CoRR abs/2308.11389 (2023) - 2022
- [c12]Omar Ali, Alexandre Bône, Marc-Michel Rohé, Eric Vibert, Irene E. Vignon-Clementel:
Learning to Jointly Segment the Liver, Lesions and Vessels from Partially Annotated Datasets. ICIP 2022: 3626-3630 - [c11]Rebeca Vétil, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Improving the Automatic Segmentation of Elongated Organs Using Geometrical Priors. ISBI 2022: 1-4 - [c10]Omar Ali, Alexandre Bône, Caterina Accardo, Omar Belkouchi, Marc-Michel Rohé, Eric Vibert, Irene E. Vignon-Clementel:
CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans. AIIIMA/MIABID@MICCAI 2022: 125-133 - [c9]Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection. MICCAI (2) 2022: 464-473 - [i2]Omar Ali, Alexandre Bône, Caterina Accardo, Omar Belkouchi, Marc-Michel Rohé, Eric Vibert, Irene E. Vignon-Clementel:
CoRe: An Automated Pipeline for The Prediction of Liver Resection Complexity from Preoperative CT Scans. CoRR abs/2210.08318 (2022) - [i1]Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection. CoRR abs/2210.12095 (2022) - 2021
- [c8]Alexandre Bône, Samy Ammari, Jean-Philippe Lamarque, Mickael Elhaik, Emilie Chouzenoux, François Nicolas, Philippe Robert, Corinne Balleyguier, Nathalie Lassau, Marc-Michel Rohé:
Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance. ISBI 2021: 1159-1163
2010 – 2019
- 2018
- [j3]Marc-Michel Rohé, Maxime Sermesant
, Xavier Pennec
:
Low-dimensional representation of cardiac motion using Barycentric Subspaces: A new group-wise paradigm for estimation, analysis, and reconstruction. Medical Image Anal. 45: 1-12 (2018) - [j2]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
:
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics 22(2): 503-515 (2018) - [j1]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
:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - 2017
- [b1]Marc-Michel Rohé:
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). University of Côte d'Azur, France, 2017 - [c7]Shuman Jia, Claudia Camaioni, Marc-Michel Rohé, Pierre Jaïs, Xavier Pennec
, Hubert Cochet
, Maxime Sermesant
:
Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression. FIMH 2017: 311-321 - [c6]Marc-Michel Rohé, Maxime Sermesant, Xavier Pennec
:
Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net. STACOM@MICCAI 2017: 170-177 - [c5]Marc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, Xavier Pennec
:
SVF-Net: Learning Deformable Image Registration Using Shape Matching. MICCAI (1) 2017: 266-274 - 2016
- [c4]Marc-Michel Rohé, Roch Molléro, Maxime Sermesant
, Xavier Pennec
:
Highly reduced model of the cardiac function for fast simulation. IVMSP 2016: 1-5 - [c3]Marc-Michel Rohé, Maxime Sermesant, Xavier Pennec
:
Barycentric Subspace Analysis: A New Symmetric Group-Wise Paradigm for Cardiac Motion Tracking. MICCAI (3) 2016: 300-307 - 2015
- [c2]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:
Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study. FIMH 2015: 448-456 - [c1]Marc-Michel Rohé, Nicolas Duchateau, Maxime Sermesant, Xavier Pennec
:
Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct. STACOM@MICCAI 2015: 190-198
Coauthor Index
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