1. Juarez-Orozco LE, Martinez-Manzanera O, Nesterov SV, Kajander S, Knuuti J. The machine learning horizon in cardiac hybrid imaging. Eur J Hybrid Imaging. 2018;2(1):15.
2. Silver D, Schrittwieser J, Simonyan K, Antonoglou I, Huang A, Guez A, et al. Mastering the game of go without human knowledge. Nat Publ Group. 2017;550(7676):354–9.
3. •• Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nat Publ Group. 2017;542(7639):115–8 This landmark study proved the applicability and potential performance of deep learning in medical imaging.
4. Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, et al. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA. 2016;316(22):2402–10.
5. Zhao Q, Zhang L. ECG feature extraction and classification using wavelet transform and support vector machines. Int Conf Neural Networks Brain. 2005;2:1089–92.