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

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eess.IV2019★ 19 cited

Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in MR images

Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin +1

This paper proposes an automatic method for scapula bone segmentation from Magnetic Resonance (MR) images using deep learning. The purpose of this work is to incorporate anatomical…

cs.CV2019

Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders

Pierre-Henri Conze, Sylvain Brochard, Valérie Burdin +2

Automatic segmentation of pathological shoulder muscles in patients with musculo-skeletal diseases is a challenging task due to the huge variability in muscle shape, size, location…