831 citations · 1.1k across the 36 of their papers we have counts for
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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…
Automatic detection of rare pathologies in fundus photographs using few-shot learning
Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze +2
In the last decades, large datasets of fundus photographs have been collected in diabetic retinopathy (DR) screening networks. Through deep learning, these datasets were used to tr…
Unsupervised learning-based long-term superpixel tracking
Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard +2
Finding correspondences between structural entities decomposing images is of high interest for computer vision applications. In particular, we analyze how to accurately track super…
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…