Chang, Hyuk-Jae

Dulaglutide and cardiovascular outcomes in type 2 diabetes (REWIND): a double-blind, randomised placebo-controlled trial

Gerstein, H. C., Colhoun, H. M., Dagenais, G. R., Diaz, R., Lakshmanan, M., Pais, P., Probstfield, J., Riesmeyer, J. S., Riddle, M. C., Rydén, L., et al. (2019) · The Lancet

Diabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 3,163

Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis

Motwani, M., Dey, D., Berman, D. S., Germano, G., Achenbach, S., Al-Mallah, M. H., Andreini, D., Budoff, M. J., Cademartiri, F., Callister, T. Q., et al. (2016) · European Heart Journal

Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare

Cited by 692

Dulaglutide and renal outcomes in type 2 diabetes: an exploratory analysis of the REWIND randomised, placebo-controlled trial

Gerstein, H. C., Colhoun, H. M., Dagenais, G. R., Diaz, R., Lakshmanan, M., Pais, P., Probstfield, J., Botros, F. T., Riddle, M. C., Rydén, L., et al. (2019) · The Lancet

Diabetes Treatment and ManagementChronic Kidney Disease and Diabetes

Cited by 638

Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging

Al’Aref, S. J., Anchouche, K., Singh, G., Slomka, P. J., Kolli, K. K., Kumar, A., Pandey, M., Maliakal, G., van Rosendael, A. R., Beecy, A. N., et al. (2019) · European Heart Journal

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 534

Does coronary CT angiography improve risk stratification over coronary calcium scoring in symptomatic patients with suspected coronary artery disease? Results from the prospective multicenter international CONFIRM registry

Al-Mallah, M. H., Qureshi, W., Lin, F. Y., Achenbach, S., Berman, D. S., Budoff, M. J., Callister, T. Q., Chang, H.-J., Cademartiri, F., Chinnaiyan, K., et al. (2014) · European Heart Journal - Cardiovascular Imaging

Cardiac Imaging and DiagnosticsCoronary Interventions and Diagnostics

Cited by 125

Assessment of Subclinical Coronary Atherosclerosis in Asymptomatic Patients With Type 2 Diabetes Mellitus With Single Photon Emission Computed Tomography and Coronary Computed Tomography Angiography

Choi, E.-K., Chun, E. J., Choi, S.-I., Chang, S.-A., Choi, S.-H., Lim, S., Rivera, J. J., Nasir, K., Blumenthal, R. S., Jang, H.-C., et al. (2009) · The American Journal of Cardiology

Cardiac Imaging and DiagnosticsDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 57

Identification of susceptibility loci for cardiovascular disease in adults with hypertension, diabetes, and dyslipidemia

Song, Y., Choi, J.-E., Kwon, Y.-J., Chang, H.-J., Kim, J. O., Park, D.-H., Park, J.-M., Kim, S.-J., Lee, J. W., & Hong, K.-W. (2021) · Journal of Translational Medicine

Genetic Associations and EpidemiologyCardiovascular Health and Risk Factors

Cited by 41

Machine learning based risk prediction model for asymptomatic individuals who underwent coronary artery calcium score: Comparison with traditional risk prediction approaches

Han, D., Kolli, K. K., Gransar, H., Lee, J. H., Choi, S.-Y., Chun, E. J., Han, H.-W., Park, S. H., Sung, J., Jung, H. O., et al. (2020) · Journal of Cardiovascular Computed Tomography

Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare

Cited by 41

Coronary atherosclerosis scoring with semiquantitative CCTA risk scores for prediction of major adverse cardiac events: propensity score-based analysis of diabetic and non-diabetic patients

van den Hoogen, I. J., van Rosendael, A. R., Lin, F. Y., Lu, Y., Dimitriu-Leen, A. C., Smit, J. M., Scholte, A. J. H. A., Achenbach, S., Al-Mallah, M. H., Andreini, D., et al. (2020) · Journal of Cardiovascular Computed Tomography

Cardiac Imaging and DiagnosticsCoronary Interventions and Diagnostics

Cited by 31