Joanna X. Liang

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 4%percentile

0.604Author DataRank

Indexed papers

2in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0)

Journal of Nuclear Medicine(2024)10.2967/jnumed.124.268292

Top 38%

0.500DataRank

Top 38%20 citations

Mark A. Lemley, Aakash Shanbhag, Giselle Ramirez, Joanna X. Liang, Valerie Builoff +20 more

Papers

Driven by 31 papers — median percentile 42. Top paper: “The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0)”.

The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0)

Journal of Nuclear Medicine(2024)10.2967/jnumed.124.268292

Top 38%

0.500DataRank

Top 38%20 citations

Mark A. Lemley, Aakash Shanbhag, Giselle Ramirez, Joanna X. Liang, Valerie Builoff +20 more

The REgistry of Flow and Perfusion Imaging for Artificial INtelligEnce with PET (REFINE PET): Rationale and Design

medRxiv(2025)10.1101/2025.07.10.25330435

Top 78%

0.104DataRank

Top 78%1 citations

Mark A. Lemley, Aakash Shanbhag, Jacek Kwieciński, Robert J.H. Miller, Paul Kavanagh +24 more

Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry

Cardiovascular Research(2021)10.1093/cvr/cvab236

N/A

0DataRank · unranked

41 citations

Robert J.H. Miller, Lien-Hsin Hu, Yuka Otaki, Ananya Singh, Márcio A. Diniz +18 more

Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images

European Journal of Nuclear Medicine and Molecular Imaging(2022)10.1007/s00259-022-05972-w

N/A

0DataRank · unranked

35 citations

Ananya Singh, Yuka Otaki, Balaji Tamarappoo, Paul Kavanagh, Tejas Parekh +17 more

Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry

Computers in Biology and Medicine(2022)10.1016/j.compbiomed.2022.105449

N/A

0DataRank · unranked

40 citations

Robert J.H. Miller, Nipun Manral, Tali Sharir, Andrew J. Einstein, Mathews B. Fish +15 more

Differences in Prognostic Value of Myocardial Perfusion Single-Photon Emission Computed Tomography Using High-Efficiency Solid-State Detector Between Men and Women in a Large International Multicenter Study

Circulation Cardiovascular Imaging(2022)10.1161/circimaging.121.012741

N/A

0DataRank · unranked

5 citations

Yuka Otaki, Tali Sharir, Lien-Hsin Hu, Heidi Gransar, Andrew J. Einstein +14 more

Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging

npj Digital Medicine(2023)10.1038/s41746-023-00806-x

N/A

0DataRank · unranked

27 citations

Aakash Shanbhag, Ananya Singh, M. Timothy Hauser, Robert J.H. Miller, Joanna X. Liang +16 more

Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomography

Nature Communications(2024)10.1038/s41467-024-46977-3

N/A

0DataRank · unranked

40 citations

Aditya Killekar, Aakash Shanbhag, Bryan Bednarski, Anna M. Michałowska, Terrence D. Ruddy +12 more

AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging

npj Digital Medicine(2024)10.1038/s41746-024-01020-z

N/A

0DataRank · unranked

39 citations

Aakash Shanbhag, Aditya Killekar, Mark Lemley, Bryan Bednarski, Serge D. Van Kriekinge +11 more

AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging

JACC. Cardiovascular imaging(2024)10.1016/j.jcmg.2024.01.006

N/A

0DataRank · unranked

33 citations

Aakash Shanbhag, Aditya Killekar, Mark Lemley, Bryan Bednarski, Paul Kavanagh +10 more

Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study

EBioMedicine(2024)10.1016/j.ebiom.2023.104930

N/A

0DataRank · unranked

16 citations

Bryan Bednarski, Konrad Pieszko, Jacek Kwieciński, Michelle A. Williams, Aakash Shanbhag +19 more

Evaluating AI proficiency in nuclear cardiology: Large language models take on the board preparation exam

Journal of Nuclear Cardiology(2024)10.1016/j.nuclcard.2024.102089

N/A

0DataRank · unranked

16 citations

Aakash Shanbhag, Robert J.H. Miller, Damini Dey, Joanna X. Liang, Kathleen Flood +5 more

Impact of cardiac size on diagnostic performance of single-photon emission computed tomography myocardial perfusion imaging: insights from the REgistry of Fast Myocardial Perfusion Imaging with NExt generation single-photon emission computed tomography

European Heart Journal - Cardiovascular Imaging(2024)10.1093/ehjci/jeae055

N/A

0DataRank · unranked

6 citations

Pierre Elias, Timothy J. Poterucha, Tali Sharir, Matthews Fish, Terrence D. Ruddy +14 more

Evaluating AI Proficiency in Nuclear Cardiology: Large Language Models take on the Board Preparation Exam

medRxiv(2024)10.1101/2024.07.16.24310297

N/A

0DataRank · unranked

6 citations

Aakash Shanbhag, Robert JH Miller, Damini Dey, Joanna X. Liang, Kathleen Flood +5 more

Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction

medRxiv(2024)10.1101/2024.04.23.24305735

N/A

0DataRank · unranked

2 citations

Wenhao Zhang, Aakash Shanbhag, Robert J.H. Miller, Mark A. Lemley, Giselle Ramirez +14 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

The REgistry of Flow and Perfusion Imaging for Artificial Intelligence with positron emission tomography (REFINE PET):Rationale and design

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102449

N/A

0DataRank · unranked

17 citations

Mark Lemley, Aakash Shanbhag, Jacek Kwieciński, Robert J.H. Miller, P B Kavanagh +24 more

AI-enabled CT-guided end-to-end quantification of total cardiac activity in 18FDG cardiac PET/CT for detection of cardiac sarcoidosis

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102195

N/A

0DataRank · unranked

15 citations

Aakash Shanbhag, Anna M Marcinkiewicz, Helen Struble, Heidi Gransar, Waseem Hijazi +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

Integrating perfusion with AI–derived coronary calcium on CT attenuation scans to improve selection of low-risk studies for stress-only SPECT myocardial perfusion imaging

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102482

N/A

0DataRank · unranked

4 citations

Orit Barrett, Aakash Shanbhag, Alan Rozanski, Damini Dey, Mark Lemley +12 more

82Rb positron emission tomography myocardial blood flow quantification: Influence of arterial input curve quality on diagnostic accuracy

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102270

N/A

0DataRank · unranked

2 citations

Mark Lemley, Valerie Builoff, Wenhao Zhang, Keiichiro Kuronuma, Giselle Ramirez +13 more

Priming with specific context improves large language model performance on nuclear cardiology board preparation test

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102269

N/A

0DataRank · unranked

2 citations

Valerie Builoff, Aditya Killekar, Aakash Shanbhag, Robert J.H. Miller, Damini Dey +8 more

Incremental diagnostic value of artificial intelligence-derived coronary artery calcium in 18F-flurpiridaz positron emission tomography myocardial perfusion imaging

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102532

N/A

0DataRank · unranked

2 citations

Aakash Shanbhag, Ryan Zaid, Robert J.H. Miller, Mark Lemley, Valerie Builoff +7 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

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

medRxiv(2025)10.1101/2025.06.19.25329944

N/A

0DataRank · unranked

2 citations

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

Reassessing Cardiovascular Risk in Patients With Peripheral Artery Disease Undergoing Myocardial Perfusion Imaging

Canadian Journal of Cardiology(2025)10.1016/j.cjca.2025.05.002

N/A

0DataRank · unranked

0 citations

Tali Sharir, M. Timothy Hauser, Sharmila Dorbala, Marcelo F. Di Carli, Mathews B. Fish +16 more

Incremental diagnostic value of AI-derived coronary artery calcium in 18 F-flurpiridaz PET Myocardial Perfusion Imaging

medRxiv(2025)10.1101/2025.07.07.25330013

N/A

0DataRank · unranked

0 citations

Aakash Shanbhag, Ryan Zaid, Robert J.H. Miller, Mark Lemley, Valerie Builoff +7 more

Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT

European Heart Journal - Cardiovascular Imaging(2020)10.1093/ehjci/jeaa134

N/A

0DataRank · unranked

64 citations

Robert J.H. Miller, Tali Sharir, Frédéric Commandeur, Richard Ríos, Andrew J. Einstein +14 more

Ejection fraction quantification from ungated chest CT by AI

medRxiv(2025)10.1101/2025.11.14.25339933

N/A

0DataRank · unranked

0 citations

Jacek Kwieciński, Aakash Shanbhag, Konrad Pieszko, Giselle Ramirez, Mark Lemley +26 more

Impact of Early Revascularization on Major Adverse Cardiovascular Events in Relation to Automatically Quantified Ischemia

JACC. Cardiovascular imaging(2020)10.1016/j.jcmg.2020.05.039

N/A

0DataRank · unranked

54 citations

Robert J.H. Miller, Tali Sharir, Márcio A. Diniz, Lien-Hsin Hu, Yuka Otaki +17 more

Joanna X. Liang

Indexed papers

Top data-sharing exemplar

Papers