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Bayesian learning for fast parameter inference of multi-exponential white matter signals

ProxVNET: A proximal gradient descent-based deep learning model for dipole inversion in susceptibility mapping

Author:Christian Kames  Jonathan Doucette  Alexander Rauscher  

Institution:University of British Columbia  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Quantitative Tissue Properties and Novel Contrast Mechanisms  

Session Name:QSM & Its Methods  

Program Number:3198  

Room Live Q&A Session:

QSM and R2* capture physical and cognitive impairment in multiple sclerosis

Recovering phase from homodyne filtered phase data using a residual dense network

Author:Christian Kames  Jonathan Doucette  Alexander Rauscher  

Institution:University of British Columbia  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Quantitative Tissue Properties and Novel Contrast Mechanisms  

Session Name:QSM & Its Methods  

Program Number:3199  

Room Live Q&A Session:

Reduced QSM values in the caudate and amygdala of first episode mania patients