175 citations · 743 across the 29 of their papers we have counts for
3 papers · 1 filter
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
Christian S. Perone, Pedro Ballester, Rodrigo C. Barros +1
Recent advances in deep learning methods have come to define the state-of-the-art for many medical imaging applications, surpassing even human judgment in several tasks. Those mode…
Deep semi-supervised segmentation with weight-averaged consistency targets
Christian S. Perone, Julien Cohen-Adad
Recently proposed techniques for semi-supervised learning such as Temporal Ensembling and Mean Teacher have achieved state-of-the-art results in many important classification bench…
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
Charley Gros, Benjamin De Leener, Atef Badji +49
The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS) patients. Segmentation of the spinal cord and lesions from MRI data provides measures of…