Marc-Michel Rohé
According to our database1,
Marc-Michel Rohé
authored at least 22 papers
between 2015 and 2023.
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Bibliography
2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer.
Proceedings of the Cancer Prevention Through Early Detection, 2023
Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Applications of Medical Artificial Intelligence, 2023
Learning to Diagnose Cirrhosis from Radiological and Histological Labels with Joint Self and Weakly-Supervised Pretraining Strategies.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Leveraging Multi-Phase CT for the Automatic Diagnosis of HCC with Deep Learning: Impacts of Lesion Localization and Phase Inclusion.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans.
Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Learning to Jointly Segment the Liver, Lesions and Vessels from Partially Annotated Datasets.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging, 2018
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
IEEE J. Biomed. Health Informatics, 2018
Low-dimensional representation of cardiac motion using Barycentric Subspaces: A new group-wise paradigm for estimation, analysis, and reconstruction.
Medical Image Anal., 2018
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).
PhD thesis, 2017
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
2016
Barycentric Subspace Analysis: A New Symmetric Group-Wise Paradigm for Cardiac Motion Tracking.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016
2015
Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015