A Deep Learning Model for Data-Driven Discovery of Functional Connectivity is a research paper published in Algorithms (2021). On theSindex it has a DataRank of 0. It has been cited 18 times.
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National Institutes of Health
Grant: 2RF1MH121885, 1R01AG063153, 2R01EB006841
National Institutes of Health
Grant: 3RF1AG063153-01A1S1
Flexible multivariate models for linking multi-scale connectome and genome data in Alzheimer's disease and related disorders
National Institutes of Health
Grant: 5U24RR021992-04
FUNCTION BIRN
National Institutes of Health
Grant: 3R01EB006841-10S1
Multivariate methods for identifying multitask/multimodal brain imaging biomarkers
National Institutes of Health
Grant: 5P20RR021938-03
BIOSTATISTICS &NEUROINFORMATICS (STATNI) CORE
National Institutes of Health
Grant: 1RF1MH121885-01A1
Nobrainer: A robust and validated neural network tool suite for imagers
FWCI
0.89
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals