Jirong Yi

Also affiliated with Cedars-Sinai Medical Center, Mount Sinai Hospital, Mount Sinai Medical Center, Boxing People's Hospital

MedicineEngineeringComputer Science

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: “Multicenter Evaluation of Interpretable AI for Coronary Artery Disease Diagnosis from PET Biomarkers”.

Multicenter Evaluation of Interpretable AI for Coronary Artery Disease Diagnosis from PET Biomarkers

medRxiv(2025)10.1101/2025.06.19.25329944

N/A

0.165DataRank · unranked

2 citations

Jacek Kwieciński, Aakash Shanbhag, Robert J.H. Miller, Giselle Ramirez, Jirong Yi +23 more

Use of compressed sensing to expedite high-throughput diagnostic testing for COVID-19 and beyond

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010629

N/A

0DataRank · unranked

3 citations

Jirong Yi, Myung Cho, Raghu Mudumbai, Xiaodong Wu, Steven M. Varga +2 more

AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans enhances mortality prediction: multicenter study

medRxiv(2024)10.1101/2024.07.30.24311224

N/A

0DataRank · unranked

2 citations

Anna M. Michałowska, Aakash Shanbhag, Robert J.H. Miller, Jolien Geers, Wenhao Zhang +18 more

Deep learning-quantified body composition from positron emission tomography/computed tomography and cardiovascular outcomes: a multicentre study

European Heart Journal(2025)10.1093/eurheartj/ehaf131

N/A

0DataRank · unranked

24 citations

Jirong Yi, Aakash Shanbhag, Anna Marcinkiewicz, Krishna Patel, Mark A. Lemley +9 more

AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre study

The Lancet Digital Health(2025)10.1016/j.landig.2025.02.002

N/A

0DataRank · unranked

10 citations

Anna M Marcinkiewicz, Aakash Shanbhag, Robert J.H. Miller, Jolien Geers, Wenhao Zhang +18 more

Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessment

European Heart Journal - Cardiovascular Imaging(2025)10.1093/ehjci/jeaf007

N/A

0DataRank · unranked

4 citations

Aakash Shanbhag, Donghee Han, Anna M. Michałowska, Mikołaj Buchwald, Robert J H Miller +13 more

AI-based Hepatic Steatosis Detection and Integrated Hepatic Assessment from Cardiac CT Attenuation Scans Enhances All-cause Mortality Risk Stratification: A Multi-center Study

medRxiv(2025)10.1101/2025.06.09.25329157

N/A

0DataRank · unranked

4 citations

Krishna Patel, Robert J.H. Miller, Anna M Marcinkiewicz, Aakash Shanbhag, Waseem Hijazi +31 more

AI-Derived Splenic Response in Cardiac PET Predicts Mortality: A Multi-Site Study

medRxiv(2025)10.1101/2025.06.27.25330278

N/A

0DataRank · unranked

2 citations

Giselle Ramirez, Aakash Shanbhag, Robert J.H. Miller, Paul Kavanagh, Jirong Yi +23 more

Use of compressed sensing to expedite high-throughput diagnostic testing for COVID-19 and beyond

medRxiv(2021)10.1101/2021.08.09.21261669

N/A

0DataRank · unranked

0 citations

Jirong Yi, Michael Myung Cho, Raghu Mudumbai, Xiaodong Wu, Steven M. Varga +2 more

AI-based identification of patients who benefit from revascularization: a multicenter study

medRxiv(2025)10.1101/2025.06.11.25329295

N/A

0DataRank · unranked

1 citations

Robert JH Miller, Krishna Patel, Aakash Shanbhag, Joanna X. Liang, Mark A. Lemley +23 more