A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods is a research paper published in IEEE Transactions on Medical Imaging (2021). On theSindex it has a DataRank of 0. It has been cited 13 times.
Scored on demand from live citation data
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.
NIH
Grant: R01EB020604
NIH
Grant: R01EB023045
NIH
Grant: R01NS102213
NIH
Grant: R01CA233873
NIH
Grant: R21CA223799
National Institutes of Health
Grant: 1R21CA223799-01
RADIOMICS-BASED PROGNOSTIC MODEL OF CERVICAL CANCER HABITATS
National Institutes of Health
Grant: 5R01CA233873-03
Multimodal Biomarkers For Oropharyngeal Cancer
National Institutes of Health
Grant: 7R01EB020604-04
An Enabling Technology for Preclinical X-Ray Imaging of Biomaterials In-Vivo
National Institutes of Health
Grant: 1R01EB023045-01A1
DEVELOPMENT OF A RAPID METHOD FOR IMAGING REGIONAL VENTILATION IN SMALL ANIMALS W/O CONTRAST AGENTS
National Institutes of Health
Grant: 5R01NS102213-03
Safe, rapid & functional pediatric brain imaging using photoacoustic computed tomography
FWCI
1.02
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords