Deep interpretability methods for neuroimaging

MM Rahman - 2022 - scholarworks.gsu.edu
Brain dynamics are highly complex and yet hold the key to understanding brain function and
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …

Predicting longitudinal cognitive scores using baseline imaging and clinical variables

K Saboo, C Hu, Y Varatharajah… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
Predicting the future course of a disease with limited information is an essential but
challenging problem in health care. For older adults, especially the ones suffering from …

Uncovering Active Structural Subspaces Associated with Changes in Indicators for Alzheimer's Disease

I Batta, A Abrol, V Calhoun - 2021 43rd Annual International …, 2021 - ieeexplore.ieee.org
We present a framework for identifying subspaces in the brain that are associated with
changes in biological and cognitive indicators for a given disorder. By employing a method …

[PDF][PDF] Uma abordagem multitarefa para avaliação cérebro-comportamento a partir de ressonância magnética funcional

MR Silveira - 2022 - repositorio.pucrs.br
O exame de ressonância magnética funcional é utilizado para verificar o comportamento
das redes cerebrais em pesquisas de desordens cerebrais e distúrbios cognitivos. Para …

Learning more with less data using domain-guided machine learning: the case for health data analytics

Y Varatharajah - 2020 - ideals.illinois.edu
Abstract The United States is facing a shortage of neurologists with severe consequences:
a) average wait-times to see neurologists are increasing, b) patients with chronic …