Robert J.H. Miller

Also affiliated with Libin Cardiovascular Institute of Alberta

MedicineBiochemistry, Genetics and Molecular Biology

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 45 papers — median percentile 42. Top paper: “Impact of Early Revascularization on Major Adverse Cardiovascular Events in Relation to Automatically Quantified Ischemia”.

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

AI for Multistructure Incidental Findings and Mortality Prediction at Chest CT in Lung Cancer Screening

Radiology(2024)10.1148/radiol.240541

N/A

0.937DataRank · unranked

18 citations

Mikołaj Buchwald, Aakash Shanbhag, Bryan Bednarski, Aditya Killekar, Robert J.H. Miller +6 more

Association of Cardiovascular Disease Risk Factor Burden With Progression of Coronary Atherosclerosis Assessed by Serial Coronary Computed Tomographic Angiography

JAMA Network Open(2020)10.1001/jamanetworkopen.2020.11444

N/A

0.626DataRank · unranked

64 citations

Daniel S. Berman, Robert J.H. Miller, Daniele Andreini, Matthew J. Budoff, Filippo Cademartiri +26 more

The accuracy of coronary CT angiography in patients with coronary calcium score above 1000 Agatston Units: Comparison with quantitative coronary angiography

Journal of cardiovascular computed tomography(2021)10.1016/j.jcct.2021.03.007

N/A

0.581DataRank · unranked

47 citations

Heidi Gransar, Evangelos Tzolos, Billy Chen, Yuka Otaki, Eyal Klein +10 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

0.529DataRank · unranked

33 citations

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

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

0.489DataRank · unranked

25 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

0.434DataRank · unranked

17 citations

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

Impact of myocardial perfusion and coronary calcium on medical management for coronary artery disease

European Heart Journal - Cardiovascular Imaging(2023)10.1093/ehjci/jead288

N/A

0.406DataRank · unranked

14 citations

Yuanchao Feng, Danielle A. Southern, Derek S. Chew, Neil Filipchuk, Bryan Har +6 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

0.396DataRank · unranked

13 citations

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

Simplified Approach to Predicting Obstructive Coronary Disease With Integration of Coronary Calcium: Development and External Validation

Journal of the American Heart Association(2023)10.1161/jaha.123.031601

N/A

0.330DataRank · unranked

8 citations

Heidi Gransar, Alan Rozanski, Damini Dey, Mouaz H. Al‐Mallah, Benjamin J.W. Chow +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

0.330DataRank · unranked

8 citations

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

Artificial intelligence-based automated left ventricular mass quantification from non-contrast cardiac CT scans: correlation with contrast CT and cardiac MRI

medRxiv(2024)10.1101/2024.01.12.24301169

N/A

0.208DataRank · unranked

3 citations

Aakash Shanbhag, Robert J.H. Miller, Nicholas Kwok, Parker Waechter, Valerie Builoff +5 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

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

Independent prognostic significance of myocardial flow reserve over coronary artery calcium, myocardial perfusion, and clinical variables in patients without known coronary artery disease, according to diabetes status

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102165

N/A

0DataRank · unranked

4 citations

Pankaj Malhotra, Robert J.H. Miller, Heidi Gransar, Sean W. Hayes, John D. Friedman +6 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

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

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

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

Association of Quantitative Coronary Artery Calcium Density Subtype Volumes With Major Adverse Cardiovascular Events

JACC Advances(2025)10.1016/j.jacadv.2025.102232

N/A

0DataRank · unranked

0 citations

Aakash Shanbhag, Jianhang Zhou, Sunam Lee, Parker Waechter, Heidi Gransar +9 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

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

Dual assessment of coronary artery calcium and exercise ability enhances mortality prediction in stress single-photon emission computed tomography–myocardial perfusion imaging patients

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102582

N/A

0DataRank · unranked

0 citations

Heidi Gransar, Rebekah H. Park, Donghee Han, Robert J.H. Miller, Alan C. Kwan +7 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

Artificial Intelligence and Cardiac PET/Computed Tomography Imaging

PET Clinics(2021)10.1016/j.cpet.2021.06.011

N/A

0DataRank · unranked

8 citations

Ananya Singh, Damini Dey, Piotr J. Slomka, Robert J.H. Miller

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

External validation of the CRAX2MACE model

Journal of Nuclear Cardiology(2022)10.1007/s12350-022-02964-z

N/A

0DataRank · unranked

7 citations

Willam Leslie, Neil Filipchuk, Ryan Choo, Stephen B. Wilton, Matthew T. James +3 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

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

AI-Derived Left Ventricular Mass From Noncontrast Cardiac CT

JACC Advances(2024)10.1016/j.jacadv.2024.101249

N/A

0DataRank · unranked

9 citations

Aakash Shanbhag, Robert J.H. Miller, Nicholas Kwok, Parker Waechter, Valerie Builoff +5 more

AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects

Atherosclerosis(2024)10.1016/j.atherosclerosis.2024.119098

N/A

0DataRank · unranked

5 citations

Kajetan Grodecki, Nipun Manral, Jolien Geers, Heidi Gransar, Aakash Shanbhag +6 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

Artificial intelligence–driven longitudinal quantification of technetium pyrophosphate uptake in cardiac amyloidosis: Correlation with multimodality imaging and outcomes

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102573

N/A

0DataRank · unranked

7 citations

Aakash Shanbhag, Karan Shahi, Debra Bosley, Lyndsay Litwin, James A. White +6 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

Robert J.H. Miller

Indexed papers

Top data-sharing exemplar

Papers