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Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

IEEE journal of biomedical and health informatics, 2018-03, Vol.22 (2), p.503-515

2018

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IEEE_Xplore

Can Deep Learning Replace Gadolinium in Neuro-Oncology?: A Reader Study

Investigative radiology, 2022-02, Vol.57 (2), p.99

2022

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Low-dimensional representation of cardiac motion using Barycentric Subspaces: A new group-wise paradigm for estimation, analysis, and reconstruction

Medical image analysis, 2018-04, Vol.45, p.1-12

2018

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Automatic Detection of Pancreatic Lesions and Main Pancreatic Duct Dilatation on Portal Venous CT Scans Using Deep Learning

Investigative radiology, 2023-11, Vol.58 (11), p.791

2023

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Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net

Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, p.170-177

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Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

IEEE transactions on medical imaging, 2018-11, Vol.37 (11), p.2514-2525

2018

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IEEE_Xplore

Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.464-473

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Leveraging Multi-Phase CT for the Automatic Diagnosis of HCC with Deep Learning: Impacts of Lesion Localization and Phase Inclusion

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-5

2023

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IEEE_Xplore

Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, p.227-237

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Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection

Applications of Medical Artificial Intelligence, 2023, p.42-51

2023

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Learning to Diagnose Cirrhosis from Radiological and Histological Labels with Joint Self and Weakly-Supervised Pretraining Strategies

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-4

2023

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IEEE_Xplore

Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer

Cancer Prevention Through Early Detection, p.68-82

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Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression

Functional Imaging and Modelling of the Heart, p.311-321

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Learning to Jointly Segment the Liver, Lesions and Vessels from Partially Annotated Datasets

2022 IEEE International Conference on Image Processing (ICIP), 2022, p.3626-3630

2022

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IEEE_Xplore

Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, p.1159-1163

2021

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IEEE_Xplore

Improving the Automatic Segmentation of Elongated Organs Using Geometrical Priors

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, p.1-4

2022

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IEEE_Xplore

CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans

Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery, p.125-133

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Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study

Functional Imaging and Modeling of the Heart, p.448-456

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SVF-Net: Learning Deformable Image Registration Using Shape Matching

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, p.266-274

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Highly reduced model of the cardiac function for fast simulation

2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016, p.1-5

2016

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Barycentric Subspace Analysis: A New Symmetric Group-Wise Paradigm for Cardiac Motion Tracking

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016, Vol.9902, p.300-307

2016

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Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, p.190-198

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Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

Can Deep Learning Replace Gadolinium in Neuro-Oncology?: A Reader Study

Low-dimensional representation of cardiac motion using Barycentric Subspaces: A new group-wise paradigm for estimation, analysis, and reconstruction

Automatic Detection of Pancreatic Lesions and Main Pancreatic Duct Dilatation on Portal Venous CT Scans Using Deep Learning

Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection

Leveraging Multi-Phase CT for the Automatic Diagnosis of HCC with Deep Learning: Impacts of Lesion Localization and Phase Inclusion

Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification

Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection

Learning to Diagnose Cirrhosis from Radiological and Histological Labels with Joint Self and Weakly-Supervised Pretraining Strategies

Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer

Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression

Learning to Jointly Segment the Liver, Lesions and Vessels from Partially Annotated Datasets

Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance

Improving the Automatic Segmentation of Elongated Organs Using Geometrical Priors

CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans

Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study

SVF-Net: Learning Deformable Image Registration Using Shape Matching

Highly reduced model of the cardiac function for fast simulation

Barycentric Subspace Analysis: A New Symmetric Group-Wise Paradigm for Cardiac Motion Tracking

Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct

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