322 citations
- Centre National de la Recherche ScientifiqueFR85 papers
- IMT AtlantiqueFR70 papers
- Laboratoire de Mathématiques de Bretagne AtlantiqueFR67 papers
- Laboratoire des Sciences et Techniques de l’Information de la Communication et de la ConnaissanceFR63 papers
- Université de Bretagne SudFR58 papers
- InsermFR26 papers
- Laboratoire de Traitement de l'Information MédicaleFR21 papers
- Université Grenoble AlpesFR16 papers
- École nationale supérieure de techniques avancées BretagneFR15 papers
- Centre Hospitalier Régional Universitaire de BrestFR13 papers
- École nationale d'ingénieurs de BrestFR10 papers
- Shandong UniversityCN10 papers
9 papers · 1 filter
Patch Progression Masked Autoencoder with Fusion CNN Network for Classifying Evolution Between Two Pairs of 2D OCT Slices
Philippe Zhang, Weili Jiang, Yihao Li +13
Age-related Macular Degeneration (AMD) is a prevalent eye condition affecting visual acuity. Anti-vascular endothelial growth factor (anti-VEGF) treatments have been effective in s…
Generation of synthetic gait data: application to multiple sclerosis patients' gait patterns
Klervi Le Gall, Lise Bellanger, David Laplaud +1
Multiple sclerosis (MS) is the leading cause of severe non-traumatic disability in young adults and its incidence is increasing worldwide. The variability of gait impairment in MS…
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…
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation
Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho +8
Longitudinal analysis in medical imaging is crucial to investigate the progressive changes in anatomical structures or disease progression over time. In recent years, a novel class…
Evaluation of importance estimators in deep learning classifiers for Computed Tomography
Lennart Brocki, Wistan Marchadour, Jonas Maison +5
Deep learning has shown superb performance in detecting objects and classifying images, ensuring a great promise for analyzing medical imaging. Translating the success of deep lear…