Histopathology‐validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo‐progression in glioblastoma is a research paper published in Cancer (2020). On theSindex it has a DataRank of 0. It has been cited 93 times.
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National Institutes of Health
Grant: U24‐CA189523
National Institutes of Health
Grant: R01‐NS042645
NIH HHS
Grant: S10 OD023495
NCI NIH HHS
Grant: U24 CA189523
NINDS NIH HHS
Grant: R01 NS042645
NIBIB NIH HHS
Grant: T32 EB004311
University of Pennsylvania
FWCI
7.19
Citation Percentile
1.0%
Influential Citations
2
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Deep learning identified glioblastoma subtypes based on internal genomic expression ranks
Additional file 1 of Deep learning identified glioblastoma subtypes based on internal genomic expression ranks