2 citations · 2 across the 1 of their papers we have counts for
3 papers
Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?
Enamundram Naga Karthik, Anne Kerbrat, Pierre Labauge +8
Segmentation of Multiple Sclerosis (MS) lesions is a challenging problem. Several deep-learning-based methods have been proposed in recent years. However, most methods tend to be s…
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation
Shahab Aslani, Michael Dayan, Loredana Storelli +4
In this paper, we present an automated approach for segmenting multiple sclerosis (MS) lesions from multi-modal brain magnetic resonance images. Our method is based on a deep end-t…
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…