Mathews B. Fish

Providence Sacred Heart Medical Center — United States

Medicine · Health Sciences

33h-index3.4kcitations108works2.62yr avg
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Research Topics

Cardiac Imaging and Diagnostics(77), Advanced MRI Techniques and Applications(36), Advanced X-ray and CT Imaging(26), Medical Imaging Techniques and Applications(24), Coronary Interventions and Diagnostics(19)

Publications108 total

General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI: A Multicenter Study
Universität Zürich, ZORA·2025Open Access
Risk stratification with pre-operative myocardial perfusion imaging
European Journal of Nuclear Medicine and Molecular Imaging·2025Open Access
Risk stratification with pre-operative myocardial perfusion imaging
Universität Zürich, ZORA·2025Open Access
Reassessing Cardiovascular Risk in Patients With Peripheral Artery Disease Undergoing Myocardial Perfusion Imaging
Universität Zürich, ZORA·2025Open Access
General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI
JACC. Cardiovascular imaging·2025· 3 cited
AI-based identification of patients who benefit from revascularization: a multicenter study
2025· 1 citedOpen Access
Reassessing Cardiovascular Risk in Patients With Peripheral Artery Disease Undergoing Myocardial Perfusion Imaging
Canadian Journal of Cardiology·2025Open Access
Artificial Intelligence-Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging
Universität Zürich, ZORA·2025Open Access
Artificial Intelligence–Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging
Journal of Nuclear Medicine·2025· 5 citedOpen Access
AI-Based Identification of Patients Who Benefit from Revascularization: A Multicenter Study
SSRN Electronic Journal·2025· 1 citedOpen Access
The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0)
Journal of Nuclear Medicine·2024· 16 citedOpen Access
RISK STRATIFICATION WITH PRE-OPERATIVE MYOCARDIAL PERFUSION IMAGING
Canadian Journal of Cardiology·2024Open Access
MYOCARDIAL ISCHEMIC BURDEN IN PATIENTS WITH PERIPHERAL ARTERY DISEASE UNDERGOING MYOCARDIAL PERFUSION IMAGING
Canadian Journal of Cardiology·2024Open Access
The Updated REgistry of Fast Myocardial Perfusion Imaging With NExt Generation SPECT
Journal of Nuclear Cardiology·2024· 1 cited
Automating Revascularization Decision Support: Clinical Application of Artificial Intelligence
Journal of Nuclear Cardiology·2024
Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study
EBioMedicine·2024· 15 citedOpen Access
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging
npj Digital Medicine·2023· 23 citedOpen Access
Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging
European Journal of Nuclear Medicine and Molecular Imaging·2023· 19 citedOpen Access
Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning
JACC. Cardiovascular imaging·2022· 46 citedOpen Access
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· 26 citedOpen Access
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Frequent Co-authors

Piotr J. Slomka(43), Daniel S. Berman(42), Damini Dey(27), Sharmila Dorbala(26), Tali Sharir(25), Andrew J. Einstein(25), Guido Germano(25), Terrence D. Ruddy(24), Philipp A. Kaufmann(24), Albert J. Sinusas(24), Edward J. Miller(24), Timothy M. Bateman(24), Marcelo F. Di Carli(23), Joanna X. Liang(22), Yuka Otaki(20), Robert J.H. Miller(18), Balaji Tamarappoo(15), Heidi Gransar(13), Lien-Hsin Hu(12), Paul Kavanagh(12)