Area of research
Radiology, Nuclear Medicine and Imaging · Biomedical Engineering
Research interest
Research interests include Cardiac Imaging and Diagnostics, Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, and Coronary Interventions and Diagnostics.
Effects of Evolocumab on Coronary Plaque Composition and Microcalcification Activity by Coronary PET and CT Angiography
Impact of diabetes mellitus on coronary artery plaque characteristics and outcomes in the SCOT-HEART trial
Deep Learning-Derived Cardiac Chamber Volumes and Mass From PET/CT Attenuation Scans: Associations With Myocardial Flow Reserve and Heart Failure
General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI
AI-based identification of patients who benefit from revascularization: a multicenter study
Reassessing Cardiovascular Risk in Patients With Peripheral Artery Disease Undergoing Myocardial Perfusion Imaging
Risk stratification with pre-operative myocardial perfusion imaging
Total-Body PET/CT Applications in Cardiovascular Diseases: A Perspective Document of the SNMMI Cardiovascular Council
The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0)
Evaluating AI proficiency in nuclear cardiology: Large language models take on the board preparation exam
The Updated REgistry of Fast Myocardial Perfusion Imaging With NExt Generation SPECT
Automating Revascularization Decision Support: Clinical Application of Artificial Intelligence
Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging
Pericoronary Adipose Tissue Attenuation, Low-Attenuation Plaque Burden, and 5-Year Risk of Myocardial Infarction
Intramyocardial Hemorrhage and the “Wave Front” of Reperfusion Injury Compromising Myocardial Salvage
Association of Plaque Location and Vessel Geometry Determined by Coronary Computed Tomographic Angiography With Future Acute Coronary Syndrome–Causing Culprit Lesions
Impact of train/test sample regimen on performance estimate stability of machine learning in cardiovascular imaging
Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT
Contrast-enhanced computed tomography assessment of aortic stenosis
Association of coronary artery calcium score with qualitatively and quantitatively assessed adverse plaque on coronary CT angiography in the SCOT-HEART trial
Sex-Specific Computed Tomography Coronary Plaque Characterization and Risk of Myocardial Infarction
Improved myocardial blood flow estimation with residual activity correction and motion correction in 18F-flurpiridaz PET myocardial perfusion imaging
155 Pericoronary adipose tissue attenuation, low attenuation plaque burden and 5-year risk of myocardial infarction
Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction
Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist
Machine Learning Adds to Clinical and CAC Assessments in Predicting 10-Year CHD and CVD Deaths
Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography
Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications
Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
Single Photon Emission Computed Tomography (SPECT) Myocardial Perfusion Imaging Guidelines: Instrumentation, Acquisition, Processing, and Interpretation