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20192022
most citedGeneralizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors

22 citations · 27 across the 4 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.CV2021★ 1 cited

Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets

Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons +2

Automatic segmentation of magnetic resonance (MR) images is crucial for morphological evaluation of the pediatric musculoskeletal system in clinical practice. However, the accuracy…

eess.IV2021★ 4 cited

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…