Edward J. Miller

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 4%percentile

0.743Author 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 54 papers — median percentile 51. Top paper: “Inhibition of type 1 immunity with tofacitinib is associated with marked improvement in longstanding sarcoidosis”.

Inhibition of type 1 immunity with tofacitinib is associated with marked improvement in longstanding sarcoidosis

Nature Communications(2022)10.1038/s41467-022-30615-x

N/A

5.0DataRank · unranked

123 citations

Alice Wang, Daniel Kim, Bryan D. Young, Katelyn Singh, Michael J. Murphy +15 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

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

Integrating Genome-wide information and Wearable Device Data to Explore the Link of Anxiety and Antidepressants with Heart Rate Variability

medRxiv(2023)10.1101/2023.08.02.23293170

Top 60%

0.242DataRank

Top 60%2 citations

Dóra Koller, Gita A. Pathak, Edward J. Miller, Rachel Lampert, Murray B Stein +2 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

Impaired Myocardial Flow Reserve on 82 Rubidium Positron Emission Tomography/Computed Tomography in Patients With Systemic Sclerosis

The Journal of Rheumatology(2021)10.3899/jrheum.210040

N/A

0DataRank · unranked

18 citations

Nabil E. Boutagy, Evangelos K. Oikonomou, Stephanie Thorn, Yi-Hwa Liu, Edward J. Miller +3 more

Biobank Scale Pharmacogenomics Informs the Genetic Underpinnings of Simvastatin Use

Clinical Pharmacology & Therapeutics(2021)10.1002/cpt.2260

N/A

0DataRank · unranked

12 citations

Dóra Koller, Gita A. Pathak, Daniel Jacoby, Edward J. Miller, Renato Polimanti +1 more

Data Management and Network Architecture Effect on Performance Variability in Direct Attenuation Correction via Deep Learning for Cardiac SPECT: A Feasibility Study

IEEE Transactions on Radiation and Plasma Medical Sciences(2021)10.1109/trpms.2021.3138372

N/A

0DataRank · unranked

6 citations

Jaewon Yang, Luyao Shi, Rui Wang, Edward J. Miller, Albert J. Sinusas +4 more

The integration of genetically-regulated transcriptomics and electronic health records highlights a pattern of medical outcomes related to increased hepatic transthyretin expression

Amyloid(2021)10.1080/13506129.2021.2018678

N/A

0DataRank · unranked

4 citations

Antonella De Lillo, Frank R. Wendt, Flavio De Angelis, Dóra Koller, Brenda Cabrera‐Mendoza +5 more

Treatment of sarcoidosis with cutaneous involvement with tofacitinib

medRxiv(2021)10.1101/2021.07.01.21259700

N/A

0DataRank · unranked

2 citations

Alice Wang, Bryan D. Young, Rüveyda Ayasun, Changwan Ryu, Meaghan K. McGeary +8 more

The integration of genetically-regulated transcriptomics and electronic health records highlights a pattern of medical outcomes related to increased hepatic Transthyretin expression

medRxiv(2021)10.1101/2021.07.14.21260525

N/A

0DataRank · unranked

0 citations

Antonella De Lillo, Frank R. Wendt, Flavio De Angelis, Dóra Koller, Brenda Cabrera‐Mendoza +5 more

Direct and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECT

European Journal of Nuclear Medicine and Molecular Imaging(2022)10.1007/s00259-022-05718-8

N/A

0DataRank · unranked

62 citations

Bo Zhou, Huidong Xie, Luyao Shi, Hui Liu, Wolfgang Holler +6 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

DuDoSS: Deep‐learning‐based dual‐domain sinogram synthesis from sparsely sampled projections of cardiac SPECT

Medical Physics(2022)10.1002/mp.15958

N/A

0DataRank · unranked

24 citations

Bo Zhou, Huidong Xie, Tianshun Miao, Hui Liu, Wolfgang Holler +6 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

Detection of Left Ventricular Systolic Dysfunction from Electrocardiographic Images

medRxiv(2022)10.1101/2022.06.04.22276000

N/A

0DataRank · unranked

9 citations

Arash Aghajani Nargesi, Lovedeep Singh Dhingra, Akshay Khunte, Bobak J. Mortazavi, Antônio H. Ribeiro +15 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

Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images

Circulation(2023)10.1161/circulationaha.122.062646

N/A

0DataRank · unranked

141 citations

Arash Aghajani Nargesi, Lovedeep Singh Dhingra, Akshay Khunte, Bobak J. Mortazavi, Antônio H. Ribeiro +15 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

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

DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT

Medical Image Analysis(2023)10.1016/j.media.2023.102840

N/A

0DataRank · unranked

20 citations

Bo Zhou, Huidong Xie, Xueqi Guo, Jiazhen Zhang, James S. Duncan +5 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

Comparison of the prognostic value between quantification and visual estimation of coronary calcification from attenuation CT in patients undergoing SPECT myocardial perfusion imaging

The International Journal of Cardiovascular Imaging(2023)10.1007/s10554-023-02980-1

N/A

0DataRank · unranked

13 citations

Konrad Pieszko, Aakash Shanbhag, Mark Lemley, Robert J.H. Miller, Cathleen Huang +7 more

CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients

European Journal of Nuclear Medicine and Molecular Imaging(2023)10.1007/s00259-023-06484-x

N/A

0DataRank · unranked

8 citations

Konrad Pieszko, Aakash Shanbhag, Mark Lemley, Bryan Bednarski, Robert J.H. Miller +7 more

Autoimmune comorbidities associated with sarcoidosis: a case-control study in the All of Us research program

Rheumatology Advances in Practice(2023)10.1093/rap/rkad030

N/A

0DataRank · unranked

7 citations

Princess Edemobi, Audrey C. Leasure, Mridu Gulati, Edward J. Miller, William Damsky +2 more

TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction

Lecture notes in computer science(2023)10.1007/978-3-031-44689-4_7

N/A

0DataRank · unranked

3 citations

Luyao Shi, Xiongchao Chen, Bo Zhou, Qiong Liu, Huidong Xie +8 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

Automated vessel-specific coronary artery calcification quantification with deep learning in a large multi-centre registry

European Heart Journal - Cardiovascular Imaging(2024)10.1093/ehjci/jeae045

N/A

0DataRank · unranked

24 citations

Aakash Shanbhag, Jianhang Zhou, Anna M. Michałowska, Mark Lemley, Robert J.H. Miller +12 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

Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study

European Heart Journal - Digital Health(2024)10.1093/ehjdh/ztae023

N/A

0DataRank · unranked

11 citations

Arya Aminorroaya, Lovedeep Singh Dhingra, Caitlin Partridge, Eric J. Velazquez, Nihar R. Desai +4 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

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

0DataRank · unranked

6 citations

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

TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction

Medical Image Analysis(2024)10.1016/j.media.2024.103190

N/A

0DataRank · unranked

7 citations

Luyao Shi, Xiongchao Chen, Qiong Liu, Bo Zhou, Huidong Xie +9 more

Integrating genome-wide information and wearable device data to explore the link of anxiety and antidepressants with pulse rate variability

Molecular Psychiatry(2024)10.1038/s41380-024-02836-7

N/A

0DataRank · unranked

2 citations

Dóra Koller, Gita A. Pathak, Edward J. Miller, Rachel Lampert, Murray B Stein +2 more

Unlocking Diversity in Cardiovascular Clinical Research: Lessons from the Screening for Cardiac Amyloidosis With Nuclear Imaging in a Minority Populations Study

Journal of Cardiac Failure(2024)10.1016/j.cardfail.2024.04.019

N/A

0DataRank · unranked

3 citations

Dimitrios Bampatsias, Elizabeth Cohn, Denise Fine, Cinthia de Freitas, Cesia Gallegos +15 more

Parametric FDG positron emission tomography Ki images using dual-time-point imaging data for cardiac sarcoidosis: A proof of concept study

Journal of Nuclear Cardiology(2024)10.1016/j.nuclcard.2024.102121

N/A

0DataRank · unranked

2 citations

Bryan D. Young, Hui Liu, Mehran M. Sadeghi, Edward J. Miller, Chi Liu +1 more

Electrocardiogram-based deep learning enables scalable screening of transthyretin amyloid cardiomyopathy

medRxiv(2024)10.1101/2024.09.30.24314651

N/A

0DataRank · unranked

4 citations

Evangelos K. Oikonomou, Rohan Khera, Ryan B. Choi, Sumukh V. Shankar, Robert M.A. van der Boon +21 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

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

Artificial intelligence-enabled electrocardiography and echocardiography to track preclinical progression of transthyretin amyloid cardiomyopathy

European Heart Journal(2025)10.1093/eurheartj/ehaf450

N/A

0DataRank · unranked

22 citations

Veer Sangha, Sumukh Vasisht Shankar, Andreas Coppi, Harlan M. Krumholz, Khurram Nasir +6 more

Automated computation of the HEART score with the GPT-4 large language model

The American Journal of Emergency Medicine(2025)10.1016/j.ajem.2025.03.065

N/A

0DataRank · unranked

8 citations

Vimig Socrates, Thomas Huang, Conrad Safranek, Rohit B. Sangal, Monisha Dilip +8 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

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-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

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

Health Literacy and Physical Function Among Older Black and Hispanic Individuals With Heart Failure

Journal of Cardiac Failure(2025)10.1016/j.cardfail.2025.06.010

N/A

0DataRank · unranked

0 citations

Sergio Teruya, Denise Fine, Natalia Sabogal, Sergylensky Fils, Ikram Ullah +13 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

A phenomapping-derived tool to personalize the selection of anatomical vs. functional testing in evaluating chest pain (ASSIST)

European Heart Journal(2021)10.1093/eurheartj/ehab223

N/A

0DataRank · unranked

45 citations

David van Dijk, Helen Parise, Marc A. Suchard, James A. de Lemos, Charalambos Antoniades +4 more

Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning

IEEE Transactions on Medical Imaging(2021)10.1109/tmi.2021.3082578

N/A

0DataRank · unranked

41 citations

Yihuan Lu, Nicha C. Dvornek, C. Weyman, Edward J. Miller, Albert J. Sinusas +2 more

Edward J. Miller

Indexed papers

Top data-sharing exemplar

Papers