831 citations
- IMT AtlantiqueFR25 papers
- Laboratoire de Traitement de l'Information MédicaleFR23 papers
- InsermFR18 papers
- Université de Bretagne OccidentaleFR18 papers
- Hôpital LariboisièreFR6 papers
- Assistance Publique – Hôpitaux de ParisFR5 papers
- Symbiosis International UniversityIN4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Laboratoire des Sciences et Techniques de l’Information de la Communication et de la ConnaissanceFR3 papers
- Carl Zeiss (United States)US2 papers
- Fondation ILDYSFR2 papers
- Hôpital Fernand-WidalFR2 papers
28 papers
Machine Learning-Based Modeling of the Anode Heel Effect in X-ray Beam Monte Carlo Simulations
Hussein Harb, Didier Benoit, Axel Rannou +4
To develop a machine learning-based framework for accurately modeling the anode heel effect in Monte Carlo simulations of X-ray imaging systems, enabling realistic beam intensity p…
Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation
Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu +4
Extracting hepatic vessels from abdominal images is of high interest for clinicians since it allows to divide the liver into functionally-independent Couinaud segments. In this res…
A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis
Sao Mai Nguyen, Maxime Devanne, Olivier Remy-Neris +2
While automatic monitoring and coaching of exercises are showing encouraging results in non-medical applications, they still have limitations such as errors and limited use context…
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression
Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho +9
This work proposes a novel framework for analyzing disease progression using time-aware neural ordinary differential equations (NODE). We introduce a "time-aware head" in a framewo…
CT respiratory motion synthesis using joint supervised and adversarial learning
Yi-Heng Cao, Vincent Bourbonne, François Lucia +4
Objective: Four-dimensional computed tomography (4DCT) imaging consists in reconstructing a CT acquisition into multiple phases to track internal organ and tumor motion. It is comm…
Fully automated workflow for designing patient-specific orthopaedic implants: application to total knee arthroplasty
Aziliz Guezou-Philippe, Arnaud Clavé, Ehouarn Maguet +6
Background. Osteoarthritis affects about 528 million people worldwide, causing pain and stiffness in the joints. Arthroplasty is commonly performed to treat joint osteoarthritis, r…