activity
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 · 96 across the 11 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

eess.IV2020★ 18 cited

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…

cs.CV2020★ 7 cited

Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human joints

Jean-Rassaire Fouefack, Bhushan Borotikar, Tania S. Douglas +2

Statistical shape models (SSMs) are state-of-the-art medical image analysis tools for extracting and explaining features across a set of biological structures. However, a principle…