2 papers
eess.IV2020
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation
Reda Abdellah Kamraoui, Vinh-Thong Ta, Thomas Tourdias +3
Recently, segmentation methods based on Convolutional Neural Networks (CNNs) showed promising performance in automatic Multiple Sclerosis (MS) lesions segmentation. These technique…
eess.IV2019
A systematic comparison of structural, structural connectivity, and functional connectivity based thalamus parcellation techniques
Charles Iglehart, Martin Monti, Joshua Cain +2
The thalamus consists of several histologically and functionally distinct nuclei increasingly implicated in brain pathology and important for treatment, motivating the need for dev…