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An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment
Updated
Nov 2, 2023
Python
Fast and easy visualization of fMRI data quality using carpet plots.
Project A04 - PI: Sigrid Elsenbruch (Universität Duisburg-Essen)
Minimal test data for unit-testing PUMI (n=1)
Project A06 - PI: Stefanie Brassen (Universität Hamburg)
Derivative data from the Human Connectome Project, PTN-release, cleaned, extended (n=1003)
BEP035 example data: Resting state fMRI studies of pain from OpenNeuro (n=212)
Project A01 - PI: Ulrike Bingel (Universität Duisburg-Essen)
Project A01 - PI: Ulrike Bingel (Universität Duisburg-Essen)
"Essen-sample", resting state data, QST, psychometrics, N=44, raw+rpn+freesurfer (N=44))
Project A02 - PI: Christian Büchel (UKE Hamburg)
Test data of three example subjects for PUMI (n=3)
Project A11 - PI: Sven Benson (Universität Duisburg-Essen), Hana Rohn (Universität Duisburg-Essen)
Project A02 - PI: Christian Büchel (Universität Hamburg)
Project A03 - PI: Michael Rose (Universität Hamburg)
"Bochum-sample", resting state data, QST, psychometrics, raw+rpn+freesurfer (N=40)
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