Leveraging radiomics and machine learning to differentiate radiation necrosis from recurrence in patients with brain metastases is a research paper published in Journal of Neuro-Oncology (2024). On theSindex it has a DataRank of 0. It has been cited 15 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
National Institutes of Health
Grant: NIH R01LM013151
NCI NIH HHS
Grant: U01 CA248226
NLM NIH HHS
Grant: R01 LM013151
BLRD VA
Grant: I01 BX005842
NCI NIH HHS
Grant: P30 CA014520
NCI NIH HHS
Grant: R01 CA264017
NCI NIH HHS
Grant: R01 CA277728
National Institutes of Health
Grant: 5P30CA014520-18
CANCER CENTER SUPPORT
National Institutes of Health
Grant: 5R01LM013151-04
Can machines be trusted? Robustification of deep learning for medical imaging
Fields of Study
MeSH Terms
Keywords