Detecting atrial fibrillation by deep convolutional neural networks

By Yong Xia, Naren Wulan, Kuanquan Wang, Henggui Zhang. Comput. Biol. Medicine, 2018

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Detection of coronavirus Disease (COVID-19) based on Deep Features and Support Vector Machine (2020, background): “The advancement of machine learning has a great benefit for clinical decision making and development computer-aided systems (Greenspan et al., 2016; Burlina et al., 2017; Wahab et al., 2017; Xia et al., 2018).”
Detection of Coronavirus Disease (COVID-19) Based on Deep Features (2020, methodology): “The deep learning is one of the recent techniques applicable in the field of medicine for diagnosis purpose [16-28].”
Deep Learning on 1-D Biosignals: a Taxonomy-based Survey (2018, methodology): “Out of the 10 papers, five used publicly available databases to evaluate the performance of their systems [91, 97–100] and the other five used experimental protocols for signal acquisition [57, 88, 93, 95, 107] (see Appendix 2).”