Alexis Poitrasson-Rivière

Medicine · Health Sciences

16h-index736citations61works1.92yr avg
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Research Topics

Medical Imaging Techniques and Applications(31), Cardiac Imaging and Diagnostics(25), Nuclear Physics and Applications(19), Radiation Detection and Scintillator Technologies(18), Advanced MRI Techniques and Applications(17)

Publications61 total

“Sail while the breeze blows” Navigating the tracer-dependence of absolute flow
Journal of Nuclear Cardiology·2026
A Foundation Transformer Model with Self-Supervised Learning for ECG-Based Assessment of Cardiac and Coronary Function
NEJM AI·2025· 1 citedOpen Access
Improved diagnostic performance of 18F-flurpiridaz positron emission tomography myocardial blood flow quantification with automated dynamic motion correction
Journal of Nuclear Cardiology·2025· 2 cited
Diagnostic performance of 18F-flurpiridaz PET myocardial perfusion imaging with total perfusion deficit quantification
Journal of Nuclear Cardiology·2025· 2 cited
SELF-SUPERVISED DEEP REPRESENTATION LEARNING OF A FOUNDATION TRANSFORMER MODEL ENABLING COMPREHENSIVE ECG-BASED ASSESSMENT OF CARDIOVASCULAR HEALTH WITH LIMITED LABELED DATA
Journal of the American College of Cardiology·2025Open Access
Automated deep learning segmentation of cardiac inflammatory FDG PET
Journal of Nuclear Cardiology·2024· 7 cited
How to differentiate obstructive from non-obstructive CAD with PET: Developments in high-resolution regional quantification of MBF and MFR
Journal of Nuclear Cardiology·2024· 4 cited
Automated Segmentation of Cardiac Inflammatory FDG PET Using a 3D-UNET Deep Learning Model
Journal of Nuclear Cardiology·2024
PYP QUANTIFICATION OF AMYLOID BURDEN IN TRANSTHYRETIN AMYLOID CARDIOMYOPATHY AND CORRELATION WITH ECHOCARDIOGRAM
Journal of the American College of Cardiology·2024
IDENTIFICATION OF IMPAIRED MICROVASCULAR/VASOMOTOR FUNCTION WITH DEEP LEARNING ANALYSIS OF STRESS-REST ECG
Journal of the American College of Cardiology·2024
Automated Deep Learning Segmentation of Cardiac Inflammatory FDG PET
2024· 5 citedOpen Access
A foundation transformer model with self-supervised learning for ECG-based assessment of cardiac and coronary function
2023Open Access
Integrated myocardial flow reserve (iMFR) assessment: optimized PET blood flow quantification for diagnosis of coronary artery disease
European Journal of Nuclear Medicine and Molecular Imaging·2023· 14 citedOpen Access
Integrated myocardial flow reserve (iMFR) assessment: diffuse atherosclerosis and microvascular dysfunction are more strongly associated with mortality than focally impaired perfusion
European Journal of Nuclear Medicine and Molecular Imaging·2023· 8 citedOpen Access
Improved diagnostic accuracy for coronary artery disease detection with quantitative 3D 82Rb PET myocardial perfusion imaging
European Journal of Nuclear Medicine and Molecular Imaging·2023· 5 cited
Measuring myocardial blood flow using dynamic myocardial perfusion SPECT: artifacts and pitfalls
Journal of Nuclear Cardiology·2023· 11 citedOpen Access
Multi-center, multi-vendor validation of deep learning-based attenuation correction in SPECT MPI: data from the international flurpiridaz-301 trial
European Journal of Nuclear Medicine and Molecular Imaging·2022· 18 cited
Accuracy and Reproducibility of Myocardial Blood Flow Quantification by Single Photon Emission Computed Tomography Imaging in Patients With Known or Suspected Coronary Artery Disease
Circulation Cardiovascular Imaging·2022· 51 citedOpen Access
“Virtual” attenuation correction: improving stress myocardial perfusion SPECT imaging using deep learning
European Journal of Nuclear Medicine and Molecular Imaging·2022· 42 cited
IMPROVED QUANTITATIVE SPECT MYOCARDIAL PERFUSION IMAGING USING DEEP LEARNING-BASED ATTENUATION CORRECTION
Journal of the American College of Cardiology·2022
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Frequent Co-authors

Venkatesh L. Murthy(25), Edward P. Ficaro(23), Jonathan B. Moody(21), Sara A. Pozzi(18), Shaun D. Clarke(16), Marek Flaska(15), Jennifer M. Renaud(15), Tomoe Hagio(14), Michael C. Hamel(13), J. Kyle Polack(11), Richard L. Weinberg(9), Liliana Arida-Moody(8), Christopher Buckley(6), James R. Corbett(6), Paolo Peerani(5), Alice Tomanin(5), Mouaz H. Al‐Mallah(5), Michael D. Vanderver(5), Benjamin C. Lee(4), Kiyotaka Ide(4)