Hidden stratification causes clinically meaningful failures in machine learning for medical imaging is a research paper published in PubMed (2020). On theSindex it has a DataRank of 0. It has been cited 30 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — 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 — never from an abstract alone.
National Institutes of Health
Grant: U54EB020405
National Science Foundation
Grant: CCF1763315, CCF1563078, CC1937301
Office of Naval Research
Grant: N000141712266
Defense Advanced Research Projects Agency
Grant: FA87501720095, FA86501827865, FA86501827882
Accenture
Ant Financial
Gordon and Betty Moore Foundation
NXP
Qualcomm
Toshiba
VMWare
ARM
Microsoft
NEC Corporation
Swiss Re
Analog Devices
BASF
Google Cloud
Taiwan Semiconductor Manufacturing Company
Hitachi
Infosys
Xilinx
American Family Insurance
Ericsson
Intel Corporation
Intelligence Community Postdoctoral Research Fellowship Program
LETI-CEA
IBM
Okawa Foundation for Information and Telecommunications
Teradata
FWCI
5.76
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Natural and Artificial Intelligence; Natural and Artificial Language (Invited Talk)