Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation is a research paper published in IEEE Journal of Translational Engineering in Health and Medicine (2022). On theSindex it has a DataRank of 0. It has been cited 167 times.
Scored on demand from live citation data
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NSF grants
Grant: 1916425, 1734853, 1636840
Fulbright Association
Grant: 2020-2021MohammadAshrafOttom
NIH grants
Grant: R01CA233487, R01MH121079, R01MH126137, T32GM141746
NIMH NIH HHS
Grant: R01 MH126137
NIGMS NIH HHS
Grant: T32 GM141746
NIMH NIH HHS
Grant: R01 MH121079
NCI NIH HHS
Grant: R01 CA233487
National Institutes of Health
Grant: 3R01MH121079-02S1
COVID-19 supplement to a computational examination of threat and reward constructs in a predominantly low-income, longitudinal sample at increased risk for internalizing disorders
National Institutes of Health
Grant: 5R01CA233487-06
Optimal Decision Making in Radiotherapy Using Panomics Analytics
National Institutes of Health
Grant: 5T32GM141746-05
Biomedical Informatics and Data Science Training Program (BIDS-TP)
National Science Foundation
Grant: 1734853
NCS-FO: Connectome mapping algorithms with application to community services for big data neuroscience
National Science Foundation
Grant: 1916425
BD Hubs: Collaborative Proposal: Midwest: Midwest Big Data Hub: Building Communities to Harness the Data Revolution
National Institutes of Health
Grant: 5R01MH126137-02
Digital behavioral phenotyping and multi-region electrophysiology to determine behavioral and neural network changes underlying the stress response in mice
FWCI
11.24
Citation Percentile
1.0%
Influential Citations
7
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals