1. Coronary Plaque Features on CTA Can Identify Patients at Increased Risk of Cardiovascular Events;Andreini Daniele;JACC: Cardiovascular Imaging.,2020
2. Candemir , S. , White , R.D. , Demirer , M. , Gupta , V. , Bigelow , M.T. , Prevedello , L.M. and Erdal , B.S . 2020. Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network . Computerized Medical Imaging and Graphics. 83 , ( Jul. 2020 ), 101721. DOI:https://doi.org/10.1016/j.compmedimag.2020.101721. 10.1016/j.compmedimag.2020.101721 Candemir, S., White, R.D., Demirer, M., Gupta, V., Bigelow, M.T., Prevedello, L.M. and Erdal, B.S. 2020. Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network. Computerized Medical Imaging and Graphics. 83, (Jul. 2020), 101721. DOI:https://doi.org/10.1016/j.compmedimag.2020.101721.
3. Chicco D. and Jurman G. 2020. The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. BMC genomics. 21 1 (Jan. 2020) 6. DOI:https://doi.org/10.1186/s12864-019-6413-7. 10.1186/s12864-019-6413-7
4. Chicco D. and Jurman G. 2020. The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. BMC genomics. 21 1 (Jan. 2020) 6. DOI:https://doi.org/10.1186/s12864-019-6413-7.
5. Euclidean distance mapping