Searching for Functional Neuromarkers of Multiple Sclerosis: A Geodesic Distance-Based Framework on Riemannian Manifolds of Brain Connectivity
Author:
Affiliation:
1. Kessler Foundation,Center for Autism Research,East Hanover,New Jersey,USA
2. IRCCS San Raffaele Scientific Institute,Neuroimaging Research Unit, Division of Neuroscience,Milan,Italy
3. Fondazione Bruno Kessler,Data Science for Health,Trento,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10500015/10500024/10500026.pdf?arnumber=10500026
Reference29 articles.
1. Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets
2. Author Correction: Multiple sclerosis
3. Impaired functional integration in multiple sclerosis: a graph theory study
4. MultiLink Analysis: Brain Network Comparison via Sparse Connectivity Analysis
5. Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds
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