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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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