SPECTnet: a deep learning neural network for SPECT image reconstruction is a research paper published in Annals of Translational Medicine (2021). On theSindex it has a DataRank of 1.0. It has been cited 37 times, with 32 citing works in its 1-hop citation network.
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?
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Base Score Contribution
0.546
From this paper's citation signal
Citation Network Contribution
0.476
From 17 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 32 citers.
NINDS NIH HHS
Grant: R01 NS094227
NCI NIH HHS
Grant: U01 CA140204
National Institutes of Health
Grant: 5R01NS094227-03
Optimization and Validation of Improved Quantitative I-123 Brain SPECT Imaging
National Institutes of Health
Grant: 5U01CA140204-03
Multi-Modality Quantitiative Imaging for Evaluation of Response to Cancer Therapy
FWCI
2.54
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals