| Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study A Lin, N Manral, P McElhinney, A Killekar, H Matsumoto, J Kwiecinski, ... The Lancet Digital Health 4 (4), e256-e265, 2022 | 142 | 2022 |
| Myocardial infarction associates with a distinct pericoronary adipose tissue radiomic phenotype: a prospective case-control study A Lin, M Kolossváry, J Yuvaraj, S Cadet, PA McElhinney, C Jiang, ... Cardiovascular Imaging 13 (11), 2371-2383, 2020 | 124 | 2020 |
| Perivascular adipose tissue and coronary atherosclerosis: from biology to imaging phenotyping A Lin, D Dey, DTL Wong, N Nerlekar Current atherosclerosis reports 21, 1-12, 2019 | 102 | 2019 |
| Epicardial fat and coronary artery disease: Role of cardiac imaging M Guglielmo, A Lin, D Dey, A Baggiano, L Fusini, G Muscogiuri, ... Atherosclerosis 321, 30-38, 2021 | 80 | 2021 |
| Pericoronary adipose tissue computed tomography attenuation distinguishes different stages of coronary artery disease: a cross-sectional study A Lin, N Nerlekar, J Yuvaraj, K Fernandes, C Jiang, SJ Nicholls, D Dey, ... European Heart Journal-Cardiovascular Imaging 22 (3), 298-306, 2021 | 75 | 2021 |
| Pericoronary adipose tissue attenuation, low-attenuation plaque burden, and 5-year risk of myocardial infarction E Tzolos, MC Williams, P McElhinney, A Lin, K Grodecki, ... Cardiovascular Imaging 15 (6), 1078-1088, 2022 | 73 | 2022 |
| Artificial intelligence in cardiovascular imaging for risk stratification in coronary artery disease A Lin, M Kolossváry, M Motwani, I Išgum, P Maurovich-Horvat, PJ Slomka, ... Radiology: Cardiothoracic Imaging 3 (1), e200512, 2021 | 70 | 2021 |
| Diastolic dysfunction assessed using contemporary guidelines and prognosis following myocardial infarction SB Prasad, AK Lin, KB Guppy-Coles, T Stanton, R Krishnasamy, ... Journal of the American Society of Echocardiography 31 (10), 1127-1136, 2018 | 60 | 2018 |
| Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19 K Grodecki, A Lin, A Razipour, S Cadet, PA McElhinney, C Chan, ... Metabolism 115, 154436, 2021 | 58 | 2021 |
| Remnant cholesterol and coronary atherosclerotic plaque burden assessed by computed tomography coronary angiography A Lin, N Nerlekar, A Rajagopalan, J Yuvaraj, R Modi, S Mirzaee, ... Atherosclerosis 284, 24-30, 2019 | 58 | 2019 |
| Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study BK Tamarappoo, A Lin, F Commandeur, PA McElhinney, S Cadet, ... Atherosclerosis 318, 76-82, 2021 | 50 | 2021 |
| Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study A Lin, ND Wong, A Razipour, PA McElhinney, F Commandeur, SJ Cadet, ... Cardiovascular diabetology 20, 1-11, 2021 | 47 | 2021 |
| Quantitative burden of COVID-19 pneumonia at chest CT predicts adverse outcomes: a post hoc analysis of a prospective international registry K Grodecki, A Lin, S Cadet, PA McElhinney, A Razipour, C Chan, ... Radiology: Cardiothoracic Imaging 2 (5), e200389, 2020 | 43 | 2020 |
| Radiomics-based precision phenotyping identifies unstable coronary plaques from computed tomography angiography A Lin, M Kolossváry, S Cadet, P McElhinney, M Goeller, D Han, J Yuvaraj, ... Cardiovascular Imaging 15 (5), 859-871, 2022 | 42 | 2022 |
| Artificial intelligence: improving the efficiency of cardiovascular imaging A Lin, M Kolossváry, I Išgum, P Maurovich-Horvat, PJ Slomka, D Dey Expert review of medical devices 17 (6), 565-577, 2020 | 41 | 2020 |
| Pericoronary adipose tissue attenuation is associated with high-risk plaque and subsequent acute coronary syndrome in patients with stable coronary artery disease J Yuvaraj, A Lin, N Nerlekar, RK Munnur, JD Cameron, D Dey, SJ Nicholls, ... Cells 10 (5), 1143, 2021 | 40 | 2021 |
| Artificial intelligence in cardiovascular CT: Current status and future implications A Lin, M Kolossváry, M Motwani, I Išgum, P Maurovich-Horvat, PJ Slomka, ... Journal of cardiovascular computed tomography 15 (6), 462-469, 2021 | 39 | 2021 |
| The Natural history of Epicardial Adipose Tissue Volume and Attenuation: A long-term prospective cohort follow-up study N Nerlekar, U Thakur, A Lin, JQS Koh, E Potter, D Liu, RG Muthalaly, ... Scientific reports 10 (1), 7109, 2020 | 35 | 2020 |
| Pericoronary adipose tissue and quantitative global non-calcified plaque characteristics from CT angiography do not differ in matched South Asian, East Asian and European … M Goeller, AR Ihdayhid, S Cadet, A Lin, D Adams, U Thakur, G Yap, ... European journal of radiology 125, 108874, 2020 | 33 | 2020 |
| Cardiac computed tomography radiomics for the non-invasive assessment of coronary inflammation K Cheng, A Lin, J Yuvaraj, SJ Nicholls, DTL Wong Cells 10 (4), 879, 2021 | 32 | 2021 |
