Robert L. McNamara

Also affiliated with Yale University, Hospital Privado

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 10 papers. Top paper: “Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound: a multi-center study”.

Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound: a multi-center study

medRxiv(2024)10.1101/2024.03.10.24304044

N/A

0.292DataRank · unranked

6 citations

Akhil Vaid, Gregory Holste, Andreas Coppi, Robert L. McNamara, Cristiana Baloescu +6 more

Severe aortic stenosis detection by deep learning applied to echocardiography

European Heart Journal(2023)10.1093/eurheartj/ehad456

N/A

0DataRank · unranked

137 citations

Evangelos K. Oikonomou, Bobak J. Mortazavi, Andreas Coppi, Kamil F. Faridi, Edward J. Miller +10 more

A Multimodality Video-Based AI Biomarker For Aortic Stenosis Development And Progression

medRxiv(2023)10.1101/2023.09.28.23296234

N/A

0DataRank · unranked

1 citations

Gregory Holste, Neal Yuan, Andreas Coppi, Robert L. McNamara, Norrisa Haynes +12 more

Predicting aortic stenosis progression using a video-based deep learning model of aortic stenosis built for single-view two-dimensional echocardiography

European Heart Journal(2023)10.1093/eurheartj/ehad655.040

N/A

0DataRank · unranked

0 citations

Gregory Holste, Robert L. McNamara, Eric J. Velazquez, Girish N. Nadkarni, David Ouyang +4 more

A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression

JAMA Cardiology(2024)10.1001/jamacardio.2024.0595

N/A

0DataRank · unranked

65 citations

Gregory Holste, Neal Yuan, Andreas Coppi, Robert L. McNamara, Norrisa Haynes +12 more

Diastolic dysfunction evaluation by cardiovascular magnetic resonance derived E, a, e’: Comparison to echocardiography

Physiological Reports(2024)10.14814/phy2.70078

N/A

0DataRank · unranked

2 citations

Jie Xiang, Nimish Shah, Jennifer M. Kwan, Yekaterina Kim, Krishna Upadhyaya +6 more

Study Protocol for the Artificial Intelligence-Driven Evaluation of Structural Heart Diseases Using Wearable Electrocardiogram (ID-SHD)

medRxiv(2024)10.1101/2024.03.18.24304477

N/A

0DataRank · unranked

7 citations

Lovedeep Singh Dhingra, Aline F Pedroso, Sumukh Vasisht Shankar, Akshay Khunte, Veer Sangha +6 more

Artificial intelligence-guided screening of under-recognized cardiomyopathies adapted for point-of-care echocardiography

European Heart Journal(2024)10.1093/eurheartj/ehae666.157

N/A

0DataRank · unranked

0 citations

Gregory Holste, A Coppi, Robert L. McNamara, Girish N. Nadkarni, Harlan M. Krumholz +4 more

Automated severe aortic stenosis detection on single-view echocardiography: A multi-center deep learning study

medRxiv(2022)10.1101/2022.08.30.22279413

N/A

0DataRank · unranked

5 citations

Evangelos K. Oikonomou, Bobak J. Mortazavi, Andreas Coppi, Kamil F. Faridi, Edward J. Miller +10 more

Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study

The Lancet Digital Health(2025)10.1016/s2589-7500(24)00249-8

N/A

0DataRank · unranked

37 citations

Akhil Vaid, Gregory Holste, Andreas Coppi, Robert L. McNamara, Cristiana Baloescu +6 more