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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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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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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

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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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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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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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

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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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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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

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 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

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

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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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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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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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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SVF-Net: Learning Deformable Image Registration Using Shape Matching

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

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

Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net

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

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

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

Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification

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

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

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

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

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

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

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

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

Highly reduced model of the cardiac function for fast simulation

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