Lee, Benjamin C

Publications

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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
Times cited: 13
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 GET IT
Times cited: 3
Current and Future Applications of Artificial Intelligence in Coronary Artery Disease. Healthcare (Basel, Switzerland). 2022 Review GET IT
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 GET IT
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 GET IT
Times cited: 18
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 GET IT
Times cited: 15
Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation. PloS one. 2020 Academic Article GET IT
Times cited: 33
Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing. PloS one. 2020 Academic Article GET IT
Times cited: 21
A Boosted Ensemble Algorithm for Determination of Plaque Stability in High-Risk Patients on Coronary CTA. JACC. Cardiovascular imaging. 2020 Academic Article GET IT
Times cited: 52
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
Times cited: 20
Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning. PloS one. 2020 Academic Article GET IT
Times cited: 34
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 GET IT
Times cited: 184
Identification and Quantification of Cardiovascular Structures From CCTA: An End-to-End, Rapid, Pixel-Wise, Deep-Learning Method. JACC. Cardiovascular imaging. 2019 Academic Article GET IT
Times cited: 61
Determinants of In-Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach. Journal of the American Heart Association. 2019 Academic Article GET IT
Times cited: 86
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 GET IT
Times cited: 20
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 GET IT
Times cited: 33
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 GET IT
Times cited: 7
Variance Estimation for Myocardial Blood Flow by Dynamic PET. IEEE transactions on medical imaging. 2015 Academic Article GET IT
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 GET IT
Times cited: 60
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 GET IT
Times cited: 82
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 GET IT
Times cited: 64

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Research

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Co-investigator Network

Funding awarded

Predicting Outcomes for Uterine Fibroid Embolization by using Deep Learning of Paired MRI Scans awarded by National Institute of Child Health & Human Development Co-Investigator 2023 - 2026
AI Cardiology Initiative awarded by National Institute of Allergy & Infectious Diseases Co-Investigator 2022 - 2026

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Background

education and training

Ph.D., University of Michigan 2010
M.S., University of Michigan 2001
B.S., Cornell University 1999

Contact

full name

Benjamin C Lee

primary email

bcl2004@med.cornell.edu

VIVO Weill Cornell Medical College

Benjamin C Lee Assistant Professor of Artificial Intelligence Research in Radiology

Publications

selected publications

Research

Funding awarded

Background

education and training

Contact

full name

primary email