Robert J.H. Miller - Concepedia

Author

Robert J.H. Miller

Also Known As

D. Ren, Jacek Kwiecinski, Purvi Parwani, R Miller, R. MILLER, R. Miller, R.J. Miller, ROBERT J.H. MILLER, Robert J H Miller, Robert J Miller

370

Publications

Citations

H-Index

109

Concepts

All Affiliations

University of Calgary Cedars-Sinai Medical Center Yale University Libin Cardiovascular Institute of Alberta University of Ottawa

About

Robert J.H. Miller is an author at University of Calgary specializing in medicine, cardiology, and cardiovascular disease.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	24	31	1K
2	Public Health	19	22	752
3	Health Sciences	8	8	301
4	Engineering	7	7	222
5	Natural Sciences	2	2	30

Robert J.H. Miller

Publications

2.9K

Citations

H-Index

Page 1

	Year	Citations
Deep Learning–Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects Evann Eisenberg, Priscilla McElhinney, Frédéric Commandeur, Circulation Cardiovascular Imaging	2020	151
Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study Frédéric Commandeur, Piotr J. Slomka, Markus Goeller, Cardiovascular Research	2019	137
Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease Yuka Otaki, Ananya Singh, Paul Kavanagh, JACC. Cardiovascular imaging Artificial IntelligenceClinical InnovationHealth SciencesIntelligent DiagnosticsMedical Expert System	2021	107
Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events Konrad Pieszko, Aakash Shanbhag, Aditya Killekar, JACC. Cardiovascular imaging Computed TomographyEngineeringMachine LearningMedical ImagingCardiovascular Disease	2022	69
Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT Lien-Hsin Hu, Robert J.H. Miller, Tali Sharir, European Heart Journal - Cardiovascular Imaging	2020	63
Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study Andrew Lin, Nathan D. Wong, Aryabod Razipour, Cardiovascular Diabetology	2021	61
Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study Balaji Tamarappoo, Andrew Lin, Frédéric Commandeur, Atherosclerosis Prognostic BiomarkersExplainable Patient-specific PredictionCardiovascular DiseaseData SciencePredictive Analytics	2020	60
Association of Cardiovascular Disease Risk Factor Burden With Progression of Coronary Atherosclerosis Assessed by Serial Coronary Computed Tomographic Angiography Donghee Han, Daniel S. Berman, Robert J.H. Miller, JAMA Network Open	2020	57
Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events Robert J.H. Miller, Konrad Pieszko, Aakash Shanbhag, Journal of Nuclear Medicine	2022	56
Impact of Early Revascularization on Major Adverse Cardiovascular Events in Relation to Automatically Quantified Ischemia Peyman N. Azadani, Robert J.H. Miller, Tali Sharir, JACC. Cardiovascular imaging ThrombosisAutomatically Quantified IschemiaVascular DiseaseCardiovascular DiseaseAtherosclerosis	2020	53

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