2021 NAIMS Symposium at the ACTRIMS Forum
Big Data and Machine Learning with MRI in Multiple Sclerosis
Virtual | February 25, 2021
Chaired by Roland Henry, UCSF Weill Institute for Neurosciences
| 20 minutes | A Decade of Collaborative Neuroimaging Research Within the ENIGMA Consortium: Obstacles, Opportunities, and Outlook Neda Jahanshad, University of Southern California |
| 20 minutes | Big-Data/Machine Learning Analysis of MRI Data in MS: The Experience from Our Imaging Response to Treatment Study Baris Kanber, University of College London |
| 10 minutes | Automated Detection of Paramagnetic Rims in Multiple Sclerosis Lesions on 3T Susceptibility-Based MR Imaging Carolyn Lou, University of Pennsylvania |
| 10 minutes | Brain age in MS: An Explainable Principal Component of Brain MRI and Potential Sensitive Cognitive Biomarker Stijn Denissen, Vrije Universiteit Brussel |
| 10 minutes | Diffuse White Matter Abnormalities Correlate with Atrophy in Multiple Sclerosis Matthew R. Brier, Washington University in St. Louis |