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Priscilla McElhinney

Showing results (1-10 of 18) with videos related to

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JACC. Case Reports|December 12, 2025
Machine Learning-Based CCTA-Guided Intensive Atheroprotective Strategy in a Middle-Aged INOCA Patient With Challenging Arterial FeaturesAlexander Kharlamov, Priscilla McElhinney, Pieter Kitslaar, et al.
Journal of Cardiovascular Computed Tomography|April 22, 2020
Repeatability of quantitative pericoronary adipose tissue attenuation and coronary plaque burden from coronary CT angiographyEvangelos Tzolos, Priscilla McElhinney, Michelle C Williams, et al.
JACC. Cardiovascular Imaging|May 5, 2022
Radiomics-Based Precision Phenotyping Identifies Unstable Coronary Plaques From Computed Tomography AngiographyAndrew Lin, Márton Kolossváry, Sebastien Cadet, et al.
Cardiovascular Research|December 20, 2019
Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective studyFrederic Commandeur, Piotr J Slomka, Markus Goeller, et al.
Journal of Cardiovascular Computed Tomography|January 20, 2023
Sex differences in computed tomography angiography-derived coronary plaque burden in relation to invasive fractional flow reserveDonghee Han, Pepijn van Diemen, Keiichiro Kuronuma, et al.
Heart (British Cardiac Society)|May 20, 2025
Effect of low-dose colchicine on pericoronary inflammation and coronary plaque composition in chronic coronary disease: a subanalysis of the LoDoCo2 trialAernoud T L Fiolet, Andrew Lin, Jacek Kwiecinski, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|January 16, 2023
Relationship between impaired myocardial blood flow by positron emission tomography and low-attenuation plaque burden and pericoronary adipose tissue attenuation from coronary computed tomography: From the prospective PACIFIC trialKeiichiro Kuronuma, Pepijn A van Diemen, Donghee Han, et al.
Circulation. Cardiovascular Imaging|October 17, 2022
Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood FlowAndrew Lin, Pepijn A van Diemen, Manish Motwani, et al.
Arxiv|April 6, 2021
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networksKajetan Grodecki, Aditya Killekar, Andrew Lin, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 12, 2022
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networksAditya Killekar, Kajetan Grodecki, Andrew Lin, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
JACC. Case Reports|December 12, 2025
Machine Learning-Based CCTA-Guided Intensive Atheroprotective Strategy in a Middle-Aged INOCA Patient With Challenging Arterial FeaturesAlexander Kharlamov, Priscilla McElhinney, Pieter Kitslaar, et al.
Journal of Cardiovascular Computed Tomography|April 22, 2020
Repeatability of quantitative pericoronary adipose tissue attenuation and coronary plaque burden from coronary CT angiographyEvangelos Tzolos, Priscilla McElhinney, Michelle C Williams, et al.
JACC. Cardiovascular Imaging|May 5, 2022
Radiomics-Based Precision Phenotyping Identifies Unstable Coronary Plaques From Computed Tomography AngiographyAndrew Lin, Márton Kolossváry, Sebastien Cadet, et al.
Cardiovascular Research|December 20, 2019
Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective studyFrederic Commandeur, Piotr J Slomka, Markus Goeller, et al.
Journal of Cardiovascular Computed Tomography|January 20, 2023
Sex differences in computed tomography angiography-derived coronary plaque burden in relation to invasive fractional flow reserveDonghee Han, Pepijn van Diemen, Keiichiro Kuronuma, et al.
Heart (British Cardiac Society)|May 20, 2025
Effect of low-dose colchicine on pericoronary inflammation and coronary plaque composition in chronic coronary disease: a subanalysis of the LoDoCo2 trialAernoud T L Fiolet, Andrew Lin, Jacek Kwiecinski, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|January 16, 2023
Relationship between impaired myocardial blood flow by positron emission tomography and low-attenuation plaque burden and pericoronary adipose tissue attenuation from coronary computed tomography: From the prospective PACIFIC trialKeiichiro Kuronuma, Pepijn A van Diemen, Donghee Han, et al.
Circulation. Cardiovascular Imaging|October 17, 2022
Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood FlowAndrew Lin, Pepijn A van Diemen, Manish Motwani, et al.
Arxiv|April 6, 2021
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networksKajetan Grodecki, Aditya Killekar, Andrew Lin, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 12, 2022
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networksAditya Killekar, Kajetan Grodecki, Andrew Lin, et al.
Pageof 2