Multi‐scale, domain knowledge‐guided attention + random forest: a two‐stage deep learning‐based multi‐scale guided attention models to diagnose idiopathic pulmonary fibrosis from computed tomography images is a research paper published in Medical Physics (2022). On theSindex it has a DataRank of 0. It has been cited 20 times.
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National Institutes of Health
Grant: NHLBI‐R21‐HL140465
National Human Genome Research Institute
Grant: HG006139
National Institute of General Medical Sciences
Grant: GM053275
National Science Foundation
Grant: DMS‐2054253
NIGMS NIH HHS
Grant: R01 GM053275
NIGMS NIH HHS
Grant: R35 GM141798
NHGRI NIH HHS
Grant: R01 HG006139
NIH HHS
Grant: NHLBI-R21-HL140465
NHLBI NIH HHS
Grant: R21 HL140465
National Science Foundation
Grant: DMS-2054253
National Institutes of Health
Grant: 5R21HL140465-02
Automated Diagnosis and Progression Rate of IPF Using HRCT
National Institutes of Health
Grant: 2R01GM053275-10
Statistical Methods for Gene Mapping
National Science Foundation
Grant: 2054253
DMS/NIGMS 2: Statistical Methods and Computational Algorithms for Biobank Data
FWCI
2.45
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals