Andrew J. Einstein

Also affiliated with Brigham and Women's Hospital, NewYork–Presbyterian Hospital, Columbia University Irving Medical Center, Presbyterian Hospital, Columbia University

MedicineEngineering

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 2%percentile

3.7Author DataRank

Indexed papers

7in 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 7 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.

Diagnostic reference levels and median doses for common clinical indications of CT: findings from an international registry

European Radiology(2021)10.1007/s00330-021-08266-1

Top 10%

2.2DataRank

Top 10%59 citations

Sophronia Yu, Jason Luong, Philip Chu, Yifei Wang, Andrew J. Einstein +19 more

Papers

Driven by 56 papers — median percentile 62. Top paper: “Diagnostic reference levels and median doses for common clinical indications of CT: findings from an international registry”.

Diagnostic reference levels and median doses for common clinical indications of CT: findings from an international registry

European Radiology(2021)10.1007/s00330-021-08266-1

Top 10%

2.2DataRank

Top 10%59 citations

Sophronia Yu, Jason Luong, Philip Chu, Yifei Wang, Andrew J. Einstein +19 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

1.4DataRank · unranked

54 citations

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

Clinical Penetrance of the Transthyretin V122I Variant in Older Black Patients With Heart Failure: The SCAN‐MP (Screening for Cardiac Amyloidosis With Nuclear Imaging in Minority Populations) Study

Journal of the American Heart Association(2023)10.1161/jaha.122.028973

N/A

1.3DataRank · unranked

35 citations

Natalia Sabogal, Daniel Massillon, Ludwine Paul, Carlos Rodriguez, Denise Fine +12 more

Comparison of the Effectiveness of Single-Component and Multicomponent Interventions for Reducing Radiation Doses in Patients Undergoing Computed Tomography

JAMA Internal Medicine(2020)10.1001/jamainternmed.2020.0064

N/A

0.662DataRank · unranked

21 citations

Philip Chu, Yifei Wang, Robert Chung, Naomi López-Solano, Andrew J. Einstein +19 more

Detecting structural heart disease from electrocardiograms using AI

Nature(2025)10.1038/s41586-025-09227-0

N/A

0.659DataRank · unranked

80 citations

Linyuan Jing, Richard Ricart, Michael Adjei-Mosi, Joshua Finer, Dustin N. Hartzel +45 more

Mining Concepts for a COVID Interface Terminology for Annotation of EHRs

(2020)10.1109/bigdata50022.2020.9377981

Top 32%

0.611DataRank

Top 32%12 citations

Shuxin Zhou, Luke Lindemann, Gai Elhanan, Andrew J. Einstein, James Geller +2 more

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

Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients

BMC Medical Informatics and Decision Making(2023)10.1186/s12911-023-02136-0

N/A

0.448DataRank · unranked

8 citations

Shuxin Zhou, Luke Lindemann, Ling Zheng, Gai Elhanan, Andrew J. Einstein +3 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

0.434DataRank · unranked

17 citations

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

Detecting Transthyretin Cardiac Amyloidosis With Artificial Intelligence

JAMA Cardiology(2026)10.1001/jamacardio.2025.4591

N/A

0.345DataRank · unranked

9 citations

Tony Sun, Emma Pierson, Francisco Roedan Oliver, Paloma Malta, Michelle Castillo +17 more

Diagnostic reference levels for indication-based CT categories in pediatric CT: data from an international registry

European Radiology(2025)10.1007/s00330-025-11724-9

Top 54%

0.312DataRank

Top 54%7 citations

Yifei Wang, Carly Stewart, Philip Chu, Jason Luong, Johannes Haubold +10 more

The Impact of Active Ascertainment on Sex-Specific Differences in the Prevalence and Phenotype of Transthyretin Cardiac Amyloidosis: The Screening for Cardiac Amyloidosis With Nuclear Imaging in Minority Populations Study

The American Journal of Cardiology(2024)10.1016/j.amjcard.2024.11.019

N/A

0.292DataRank · unranked

6 citations

Andrew J. Einstein, Sergio Teruya, Carlos Rodriguez, Stephen Helmke, Margaret Cuomo +13 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

0.241DataRank · unranked

4 citations

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

Disparities in Noninvasive Traditional and Advanced Testing for Coronary Artery Disease: Findings from the INCAPS-COVID 2 Study

The American Journal of Cardiology(2024)10.1016/j.amjcard.2023.12.048

N/A

0.208DataRank · unranked

3 citations

Patricia Rodriguez-Lozano, Indika Mallawaarachchi, Michelle C. Williams, Cole B. Hirschfeld, Nathan Better +16 more

Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction

medRxiv(2024)10.1101/2024.04.23.24305735

N/A

0.208DataRank · unranked

3 citations

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

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

Cardiac Strain Imaging Artifact Detection and Suppression with Minimum Variance Beamforming and SVD Filtering

2022 IEEE International Ultrasonics Symposium (IUS)(2022)10.1109/ius54386.2022.9957457

N/A

0.104DataRank · unranked

1 citations

Paul Kemper, Changhee Lee, Julien Grondin, Julia Han, Andrew J. Einstein +2 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

Artificial Intelligence in Cardiovascular Care—Part 2: Applications

Journal of the American College of Cardiology(2024)10.1016/j.jacc.2024.03.401

N/A

0DataRank · unranked

67 citations

Pierre Elias, Timothy J. Poterucha, Michael Randazzo, Francisco López Jiménez, Rohan Khera +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

Deep learning to detect left ventricular structural abnormalities in chest X-rays

European Heart Journal(2024)10.1093/eurheartj/ehad782

N/A

0DataRank · unranked

35 citations

Victor Rodriguez, Timothy J. Poterucha, Simukayi Mutasa, Dwight Aberle, Kathleen M. Capaccione +25 more

First Experience With Augmented Reality Guidance for Cerebral Embolic Protection During TAVR

JACC Advances(2024)10.1016/j.jacadv.2024.100839

N/A

0DataRank · unranked

12 citations

Gabrielle J. Loeb, Alon Grinshpoon, Carmine Elvezio, Shawn Sun, Vivian G. Ng +13 more

Can the grading of mild cardiac allograft vasculopathy be further refined? An angiographic and physiologic assessment of heart transplant recipients with ISHLT CAV 1

The Journal of Heart and Lung Transplantation(2024)10.1016/j.healun.2024.12.013

N/A

0DataRank · unranked

8 citations

Erin Harris, Melana Yuzefpolskaya, Ersilia M. DeFilippis, P.C. Colombo, Gabriel Sayer +14 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

Effects of confounding and effect-modifying lifestyle, environmental and medical factors on risk of radiation-associated cardiovascular disease

BMC Public Health(2024)10.1186/s12889-024-18701-9

N/A

0DataRank · unranked

7 citations

Marjan Boerma, Marie‐Odile Bernier, Tamara V. Azizova, Lydia B. Zablotska, Andrew J. Einstein +2 more

Diagnosing Transthyretin Cardiac Amyloidosis by Technetium Tc 99m Pyrophosphate

JACC. Cardiovascular imaging(2020)10.1016/j.jcmg.2020.08.027

N/A

0DataRank · unranked

105 citations

Pierre Elias, Sabahat Bokhari, Andrew J. Einstein, Albert J. DeLuca, Mona Kinkhabwala +7 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-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

B0 Magnetic Field Conditions in the Human Heart at 3 T Across One Thousand Subjects: A Numerical Simulation Study

NMR in Biomedicine(2025)10.1002/nbm.70006

N/A

0DataRank · unranked

1 citations

Sebastian Theilenberg, Boyu Peng, Wolfgang Schreiber, Andrew J. Einstein, Sachin Jambawalikar +2 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

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

Age- and Sex-Adjusted Myocardial Flow Reserve Percentiles for Personalized Cardiovascular Risk Assessment

medRxiv(2025)10.64898/2025.12.30.25343223

N/A

0DataRank · unranked

1 citations

Ludovic Trinquart, Diana M. Lopez, Simone Brandao, Jenifer M. Brown, Sanjay Divakaran +30 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

Multicenter Evaluation of Myocardial Flow Reserve as a Prognostic Marker for Mortality in ¹³N-Ammonia PET Myocardial Perfusion Imaging

medRxiv(2025)10.1101/2025.06.24.25330229

N/A

0DataRank · unranked

0 citations

Valerie Builoff, Robert J.H. Miller, Mark A. Lemley, Isabel Carvajal-Juarez, Erick Alexánderson +10 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

Added prognostic value of visually estimated coronary artery calcium among heart transplant recipients

The Journal of Heart and Lung Transplantation(2024)10.1016/j.healun.2024.07.024

N/A

0DataRank · unranked

7 citations

Lorenzo R. Sewanan, Jan M. Griffin, Ersilia M. DeFilippis, Boyu Peng, Margarita Chernovolenko +15 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

Assessment of Anomalous Coronary Arteries by Imagers and Surgeons: Comparison of Imaging Modalities

The Annals of Thoracic Surgery(2020)10.1016/j.athoracsur.2020.03.124

N/A

0DataRank · unranked

21 citations

Shannon N. Nees, Jennifer Smerling, Sri H. Senapathi, Raymond Lorenzoni, Martina Pavlicová +5 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

Impact of COVID-19 on Cardiovascular Testing in the United States Versus the Rest of the World

JACC. Cardiovascular imaging(2021)10.1016/j.jcmg.2021.03.007

N/A

0DataRank · unranked

39 citations

Leslee J. Shaw, Michelle A. Williams, Ryan Lahey, Todd C. Villines, Sharmila Dorbala +73 more

An Image Quality–informed Framework for CT Characterization

Radiology(2021)10.1148/radiol.2021210591

N/A

0DataRank · unranked

28 citations

Sophronia Yu, Yifei Wang, Marc Kohli, Philip Chu, Robert Chung +13 more

Worldwide Variation in the Use of Nuclear Cardiology Camera Technology, Reconstruction Software, and Imaging Protocols

JACC. Cardiovascular imaging(2021)10.1016/j.jcmg.2020.11.011

N/A

0DataRank · unranked

23 citations

Mathew Mercuri, Thomas N.B. Pascual, Ganesan Karthikeyan, João V. Vítola, John J. Mahmarian +70 more

False Positive 99mTc-Pyrophosphate Scanning Leading to Inappropriate Tafamidis Prescriptions

JACC. Cardiovascular imaging(2021)10.1016/j.jcmg.2021.04.006

N/A

0DataRank · unranked

21 citations

Pierre Elias, Frederick L. Ruberg, Albert J. DeLuca, Mona Kinkhabwala, Lynne L. Johnson +5 more

Deep Learning Electrocardiographic Analysis for Detection of Left-Sided Valvular Heart Disease

Journal of the American College of Cardiology(2022)10.1016/j.jacc.2022.05.029

N/A

0DataRank · unranked

146 citations

Timothy J. Poterucha, Vijay Rajaram, Luca Matos Moller, Victor Rodriguez, Shreyas Bhave +21 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

Ionising radiation and cardiovascular disease: systematic review and meta-analysis

BMJ(2023)10.1136/bmj-2022-072924

N/A

0DataRank · unranked

153 citations

Tamara V. Azizova, David B. Richardson, Soile Tapio, Marie‐Odile Bernier, Michaela Kreuzer +11 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

Diagnostic performance characteristics of planar quantitative and semi-quantitative parameters of Tc99m pyrophosphate (PYP) imaging for diagnosis of transthyretin (ATTR) cardiac amyloidosis: the SCAN-MP study

Journal of Nuclear Cardiology(2023)10.1007/s12350-023-03203-9

N/A

0DataRank · unranked

15 citations

Sergio Teruya, Carlos Rodriguez, Albert J. DeLuca, Mona Kinkhabwala, Lynne L. Johnson +13 more

Recognizing Cardiac Amyloidosis Phenotype by Echocardiography Increases Downstream Testing

Journal of the American Society of Echocardiography(2023)10.1016/j.echo.2023.08.018

N/A

0DataRank · unranked

6 citations

Mathew S. Maurer, Andrew J. Einstein, Pierre Elias, Timothy J. Poterucha, Peter Miller

Effects of confounding and effect-modifying lifestyle, environmental and medical factors on risk of radiation-associated cardiovascular disease

Research Square(2023)10.21203/rs.3.rs-3433466/v1

N/A

0DataRank · unranked

0 citations

Marjan Boerma, Marie‐Odile Bernier, Tamara V. Azizova, Lydia B. Zablotska, Andrew J. Einstein +2 more

Artificial Intelligence for Cardiovascular Care—Part 1: Advances

Journal of the American College of Cardiology(2024)10.1016/j.jacc.2024.03.400

N/A

0DataRank · unranked

111 citations

Sneha S. Jain, Timothy J. Poterucha, Michael Randazzo, Francisco López Jiménez, Rohan Khera +16 more

Andrew J. Einstein

Indexed papers

Top data-sharing exemplar

Papers