A. Razipour

发表

Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19

D. Dey, G. Pontone, P. Slomka, 2020, Metabolism.

Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry

D. Dey, G. Pontone, P. Slomka, 2020, Radiology. Cardiothoracic imaging.

Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter Study.

D. Dey, D. Berman, S. Achenbach, 2019, Radiology. Artificial intelligence.

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 study.

Xi Chen, D. Dey, D. Berman, 2019, Cardiovascular research.

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 study.

Xi Chen, D. Dey, H. Gransar, 2019, Cardiovascular research.

Deep Learning–Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects

D. Dey, D. Berman, S. Achenbach, 2020, Circulation. Cardiovascular imaging.

Tissue by Deep Learning: A Multicenter Study

Xi Chen, D. Dey, S. Achenbach, 2019 .

COVID-19 lesion segmentation using convolutional LSTM for self-attention

D. Dey, G. Pontone, P. Slomka, 2022, Medical Imaging.

Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography.

D. Dey, D. Berman, S. Achenbach, 2019, European heart journal cardiovascular Imaging.

Artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary computed tomography angiography using a novel method

D. Dey, S. Achenbach, M. Dweck, 2022, Medical Imaging.

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks

D. Dey, G. Pontone, G. Parati, 2022, Journal of medical imaging.

The American Society for Preventive Cardiology Abstracts

M. Budoff, L. Kingsley, W. Post, 2018, Clinical Cardiology.

Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study

D. Dey, D. Berman, H. Gransar, 2021, Cardiovascular Diabetology.

Use of Noninvasive Imaging in the Evaluation of Coarctation of Aorta

M. Budoff, S. Darabian, P. Rezaeian, 2013, Journal of computer assisted tomography.

Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study

D. Dey, S. Achenbach, H. Gransar, 2022, The Lancet. Digital health.

Extra-coronary calcification (aortic valve calcification, mitral annular calcification, aortic valve ring calcification and thoracic aortic calcification) in HIV seropositive and seronegative men: Multicenter AIDS Cohort Study.

M. Budoff, L. Kingsley, W. Post, 2016, Journal of cardiovascular computed tomography.

Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study.

D. Dey, D. Berman, S. Achenbach, 2020, Atherosclerosis.

Epicardial fat is associated with duration of antiretroviral therapy and coronary atherosclerosis

M. Budoff, L. Kingsley, W. Post, 2014, AIDS.

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks

Piotr J. Slomka, Damini Dey, Gianfranco Parati, 2021, ArXiv.

Deep Learning From Coronary Computed Tomography Angiography for Atherosclerotic Plaque and Stenosis Quantification and Cardiac Risk Prediction

D. Dey, D. Berman, S. Achenbach, 2021, SSRN Electronic Journal.

Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography

D. Dey, P. Slomka, M. Dweck, 2023, Medical Imaging.

Extra-coronary calcification (aortic valve calcification, mitral annular calcification, aortic valve ring calcification and thoracic aortic calcification) in HIV seropositive and seronegative men: Multicenter AIDS Cohort Study.

L. Kingsley, F. Palella, M. Witt, 2016, Journal of cardiovascular computed tomography.