390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- IMT AtlantiqueFR5 papers
- InsermFR5 papers
- Laboratoire de Traitement de l'Information MédicaleFR5 papers
- Centre Hospitalier Régional Universitaire de BrestFR4 papers
- GLA UniversityIN3 papers
- University of RwandaRW3 papers
- Alberta Machine Intelligence InstituteCA2 papers
- American College of RadiologyUS2 papers
- Aminu Kano Teaching HospitalNG2 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS2 papers
- Baylor College of MedicineUS2 papers
- Brigham and Women's HospitalUS2 papers
5 papers · 1 filter
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors
Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons +2
Clinical diagnosis of the pediatric musculoskeletal system relies on the analysis of medical imaging examinations. In the medical image processing pipeline, semantic segmentation u…
Dynamic multi feature-class Gaussian process models
Jean-Rassaire Fouefack, Bhushan Borotikar, Marcel Lüthi +3
In model-based medical image analysis, three features of interest are the shape of structures of interest, their relative pose, and image intensity profiles representative of some…
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29
This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…
Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization
Arnaud Boutillon, Bhushan Borotikar, Christelle Pons +2
Automatic segmentation of the musculoskeletal system in pediatric magnetic resonance (MR) images is a challenging but crucial task for morphological evaluation in clinical practice…
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network
Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin +1
Morphological and diagnostic evaluation of pediatric musculoskeletal system is crucial in clinical practice. However, most segmentation models do not perform well on scarce pediatr…