Efficient deep learning-based automated diagnosis from echocardiography with contrastive self-supervised learning is a research paper published in Communications Medicine (2024). On theSindex it has a DataRank of 0.510. It has been cited 29 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?
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Base Score Contribution
0.510
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute
Grant: K23HL153775
Doris Duke Charitable Foundation
Grant: 2022060
NCATS NIH HHS
Grant: UL1 TR001863
NHLBI NIH HHS
Grant: R01 HL167858
National Institutes of Health
Grant: 5K23HL153775-05
Evaluating and Improving Utilization of Evidence-Based Medical Therapy in Patients with Heart Failure using Automated Tools in the Electronic Health Record
National Institutes of Health
Grant: 5R01HL167858-02
Translating Personalized Inference from Randomized Clinical Trials to Real-World Cardiovascular Care
FWCI
8.65
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Self-supervised contrastive learning of echocardiogram videos enables label-efficient cardiac disease diagnosis