selected publications
- Role of Artificial Intelligence and Machine Learning to Create Predictors, Enhance Molecular Understanding, and Implement Purposeful Programs for Myocardial Recovery. Methodist DeBakey cardiovascular journal. 2024 Review GET IT
- Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis. NPJ digital medicine. 2023 Academic Article GET IT
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Mortality impact of low CAC density predominantly occurs in early atherosclerosis: explainable ML in the CAC consortium.
Journal of cardiovascular computed tomography.
2022
Academic Article
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Times cited: 2 - Current and Future Applications of Artificial Intelligence in Coronary Artery Disease. Healthcare (Basel, Switzerland). 2022 Review GET IT
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Cardiac 15O-water PET: Does mismatched attenuation correction not matter?.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.
2021
Editorial Article
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Times cited: 2 -
End-to-End, Pixel-Wise Vessel-Specific Coronary and Aortic Calcium Detection and Scoring Using Deep Learning.
Diagnostics (Basel, Switzerland).
2021
Academic Article
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Times cited: 10 -
Utilizing electronic health data and machine learning for the prediction of 30-day unplanned readmission or all-cause mortality in heart failure.
Cardiovascular digital health journal.
2020
Academic Article
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Times cited: 7 -
Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation.
PloS one.
2020
Academic Article
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Times cited: 28 -
Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing.
PloS one.
2020
Academic Article
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Times cited: 14 -
A Boosted Ensemble Algorithm for Determination of Plaque Stability in High-Risk Patients on Coronary CTA.
JACC. Cardiovascular imaging.
2020
Academic Article
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Times cited: 38 - Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory analysis of the CONSERVE study. PloS one. 2020 Academic Article GET IT
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Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning.
PloS one.
2020
Academic Article
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Times cited: 28 -
Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry.
European heart journal.
2020
Academic Article
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Times cited: 156 -
Identification and Quantification of Cardiovascular Structures From CCTA: An End-to-End, Rapid, Pixel-Wise, Deep-Learning Method.
JACC. Cardiovascular imaging.
2019
Academic Article
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Times cited: 52 -
Determinants of In-Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach.
Journal of the American Heart Association.
2019
Academic Article
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Times cited: 66 -
The utility of 82Rb PET for myocardial viability assessment: Comparison with perfusion-metabolism 82Rb-18F-FDG PET.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.
2019
Academic Article
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Times cited: 16 -
Automated dynamic motion correction using normalized gradient fields for 82rubidium PET myocardial blood flow quantification.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.
2018
Academic Article
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Times cited: 29 -
Limitations of Rb-82 weight-adjusted dosing accuracy at low doses.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.
2016
Academic Article
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Times cited: 7 -
Variance Estimation for Myocardial Blood Flow by Dynamic PET.
IEEE transactions on medical imaging.
2015
Academic Article
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Times cited: 16 -
Precision and accuracy of clinical quantification of myocardial blood flow by dynamic PET: A technical perspective.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.
2015
Review
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Times cited: 52 -
Comparison and prognostic validation of multiple methods of quantification of myocardial blood flow with 82Rb PET.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
2014
Academic Article
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Times cited: 71 -
Absolute myocardial flow quantification with (82)Rb PET/CT: comparison of different software packages and methods.
European journal of nuclear medicine and molecular imaging.
2013
Academic Article
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Times cited: 63