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Medicine

D-Index
96
Citations
32215
World Ranking
9716
National Ranking
5001

Overview

Piotr J. Slomka is affiliated with the Cedars-Sinai Medical Center in the United States and has contributed extensively to research in the field of medicine, with a particular focus on radiology, nuclear medicine, imaging, and cardiology.

The primary areas of their research encompass:

  • Cardiac Imaging and Diagnostics
  • Advanced X-ray and CT Imaging
  • Medical Imaging Techniques and Applications
  • Coronary Interventions and Diagnostics
  • Advanced MRI Techniques and Applications
  • Cardiovascular Disease and Adiposity
  • Cardiovascular Function and Risk Factors

Slomka's frequent co-authors include:

  • Damini Dey
  • Daniel S. Berman
  • Robert J.H. Miller
  • Marc R. Dweck
  • David E. Newby

Key venues where Slomka has published research are:

  • Journal of Nuclear Cardiology
  • Journal of the American College of Cardiology
  • Journal of cardiovascular computed tomography
  • JACC. Cardiovascular imaging
  • Journal of Nuclear Medicine

Significant papers authored or co-authored by Slomka include:

  • Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction, 2020, Circulation
  • Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist, 2020, JACC. Cardiovascular imaging
  • Myocardial Infarction Associates With a Distinct Pericoronary Adipose Tissue Radiomic Phenotype, 2020, JACC. Cardiovascular imaging
  • Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects, 2020, Circulation Cardiovascular Imaging
  • Coronary 18F-Sodium Fluoride Uptake Predicts Outcomes in Patients With Coronary Artery Disease, 2020, Journal of the American College of Cardiology

The body of Slomka's work is rooted heavily in cardiovascular imaging techniques and diagnostics, with an emphasis on advanced imaging modalities such as CT, MRI, and specialized nuclear cardiology methods. Their research addresses the quantification and risk prediction related to coronary artery disease and myocardial infarction, frequently applying machine learning and radiomic analysis.

With over 1,000 publications in the medicine field, including more than 500 in radiology and nuclear medicine, Slomka's contributions intersect biomedical engineering and cardiology, reflecting a multidisciplinary approach to cardiovascular disease diagnosis and management.

Best Publications

  • Optimal Medical Therapy With or Without Percutaneous Coronary Intervention to Reduce Ischemic Burden Results From the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation (COURAGE) Trial Nuclear Substudy

    Leslee J. Shaw;Daniel S. Berman;David J. Maron;G. B. John Mancini

  • Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis.

    Manish Motwani;Damini Dey;Daniel S. Berman;Guido Germano

  • Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review.

    Damini Dey;Piotr J. Slomka;Paul Leeson;Dorin Comaniciu

  • Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction: Results From the Multicenter SCOT-HEART Trial (Scottish Computed Tomography of the HEART).

    Michelle C. Williams;Jacek Kwiecinski;Mhairi Doris;Priscilla McElhinney

  • Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging

    Subhi J. Al'Aref;Khalil Anchouche;Gurpreet Singh;Piotr J. Slomka

  • Underestimation of extent of ischemia by gated SPECT myocardial perfusion imaging in patients with left main coronary artery disease

    Daniel S Berman;Xingping Kang;Piotr J Slomka;James Gerlach

  • Aortic Size Assessment by Noncontrast Cardiac Computed Tomography: Normal Limits by Age, Gender, and Body Surface Area

    Arik Wolak;Heidi Gransar;Louise E.J. Thomson;John D. Friedman

  • Single Photon Emission Computed Tomography (SPECT) Myocardial Perfusion Imaging Guidelines: Instrumentation, Acquisition, Processing, and Interpretation

    Sharmila Dorbala;Karthik Ananthasubramaniam;Ian S. Armstrong;Panithaya Chareonthaitawee

  • Reversible ischemia around intracerebral hemorrhage: a single-photon emission computerized tomography study.

    M Shahid Siddique;Helen M Fernandes;Thomas D Wooldridge;John D Fenwick

  • Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC.

    Venkatesh L. Murthy;Timothy M. Bateman;Rob S. Beanlands;Daniel S. Berman

  • Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study

    Julian Betancur;Frederic Commandeur;Mahsaw Motlagh;Tali Sharir

  • Pericardial Fat Burden on ECG-Gated Noncontrast CT in Asymptomatic Patients Who Subsequently Experience Adverse Cardiovascular Events

    Victor Y. Cheng;Damini Dey;Damini Dey;Balaji Tamarappoo;Ryo Nakazato

  • Automated quantification of myocardial perfusion SPECT using simplified normal limits

    Piotr J. Slomka;Piotr J. Slomka;Hidetaka Nishina;Daniel S. Berman;Daniel S. Berman;Cigdem Akincioglu

  • Quantitation in gated perfusion SPECT imaging: the Cedars-Sinai approach.

    Guido Germano;Guido Germano;Paul B. Kavanagh;Piotr J. Slomka;Piotr J. Slomka;Serge D. Van Kriekinge;Serge D. Van Kriekinge

  • Advances in technical aspects of myocardial perfusion SPECT imaging.

    Piotr J. Slomka;James A. Patton;Daniel S. Berman;Guido Germano

  • Baseline stress myocardial perfusion imaging results and outcomes in patients with stable ischemic heart disease randomized to optimal medical therapy with or without percutaneous coronary intervention

    Leslee J. Shaw;William S. Weintraub;David J. Maron;Pamela M. Hartigan

  • Quantification of Myocardial Perfusion Reserve Using Dynamic SPECT Imaging in Humans: A Feasibility Study

    Simona Ben-Haim;Simona Ben-Haim;Venkatesh L. Murthy;Venkatesh L. Murthy;Christopher Breault;Rayjanah Allie

  • Pericoronary Adipose Tissue Computed Tomography Attenuation and High-Risk Plaque Characteristics in Acute Coronary Syndrome Compared With Stable Coronary Artery Disease

    Markus Goeller;Markus Goeller;Stephan Achenbach;Sebastien Cadet;Alan C. Kwan

  • Automated three-dimensional quantification of noncalcified coronary plaque from coronary CT angiography: comparison with intravascular US.

    Damini Dey;Tiziano Schepis;Mohamed Marwan;Piotr J Slomka

  • Cannabis induced dopamine release: an in-vivo SPECT study.

    Lakshmi N.P Voruganti;Lakshmi N.P Voruganti;Piotr Slomka;Pamela Zabel;Adel Mattar

Frequent Co-Authors

Daniel S. Berman
Daniel S. Berman Cedars-Sinai Medical Center
Damini Dey
Damini Dey Cedars-Sinai Medical Center
Guido Germano
Guido Germano Cedars-Sinai Medical Center
Sean W. Hayes
Sean W. Hayes Cedars-Sinai Medical Center
John D. Friedman
John D. Friedman Cedars-Sinai Medical Center
David E. Newby
David E. Newby University of Edinburgh
Marc R. Dweck
Marc R. Dweck University of Edinburgh
Leslee J. Shaw
Leslee J. Shaw Icahn School of Medicine at Mount Sinai
Sharmila Dorbala
Sharmila Dorbala Brigham and Women's Hospital
Stephan Achenbach
Stephan Achenbach University of Erlangen-Nuremberg

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