3 papers
eess.IV2019
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI
Shahab Aslani, Vittorio Murino, Michael Dayan +3
This paper presents a simple and effective generalization method for magnetic resonance imaging (MRI) segmentation when data is collected from multiple MRI scanning sites and as a…
q-bio.NC2019
Comparison of brain connectomes using geodesic distance on manifold:a twin study
A. Yamin, M. Dayan, L. Squarcina +4
fMRI is a unique non-invasive approach for understanding the functional organization of the human brain, and task-based fMRI promotes identification of functionally relevant brain…
cs.CV2018
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…