A Deep Learning Model to Identify Mitral Valve Prolapse From the Echocardiogram is a research paper published in JACC. Cardiovascular imaging (2025). On theSindex it has a DataRank of 0.292. It has been cited 6 times.
Scored on demand from live citation data
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Base Score Contribution
0.292
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 →NHLBI NIH HHS
Grant: R01 HL180648
NHLBI NIH HHS
Grant: R01 HL092577
NIH HHS
Grant: OT2 OD035404
NHLBI NIH HHS
Grant: R01 HL177209
NHLBI NIH HHS
Grant: T32 HL007208
NHLBI NIH HHS
Grant: K24 HL153669
NHLBI NIH HHS
Grant: R01 HL168889
NHLBI NIH HHS
Grant: K23 HL159243
NHLBI NIH HHS
Grant: K23 HL169839
NINDS NIH HHS
Grant: R01 NS134597
NHLBI NIH HHS
Grant: R01 HL157635
American Heart Association-American Stroke Association
Grant: 853922
NHLBI NIH HHS
Grant: R01 HL160003
American Heart Association-American Stroke Association
Grant: 23CDA1050571
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