miRTarBase update 2018: a resource for experimentally validated microRNA-target interactions. - Chih-Hung Chou; Sirjana Shrestha; Chi-Dung Yang; Nai-Wen Chang 001; Yu-Ling Lin; Kuang-Wen Liao; Wei-Chih Huang 002; Ting-Hsuan Sun; Siang-Jyun Tu; Wei-Hsiang Lee; Men-Yee Chiew; Chun-San Tai; et al. (Nucleic Acids Res., 2018)

Multi-omics profiling reveals microRNA-mediated insulin signaling networks. - Yang-Chi-Dung Lin; Hsi-Yuan Huang; Sirjana Shrestha; Chih-Hung Chou; Yen-Hua Chen; Chi-Ru Chen; Hsiao-Chin Hong; Jing Li; Yi-An Chang; Men-Yee Chiew; Ya-Rong Huang; Siang-Jyun Tu; et al. (BMC Bioinform., 2020)

Automated delineation of acute ischemic stroke lesions on non-contrast CT using 3D deep learning: A promising step towards efficient diagnosis and treatment. - Wei-Chun Wang; Shang-Yu Chien; Sheng-Ta Tsai; Yu-Wan Yang; Dang-Khoa Nguyen; Ya-Lun Wu; Ming-Kuei Lu; Ting-Hsuan Sun; Jiaxin Yu; Ching-Ting Lin; Chien-Wei Chen; Kai-Cheng Hsu; et al. (Biomed. Signal Process. Control., 2024)

Comparative analysis of machine learning algorithms for Alzheimer's disease classification using EEG signals and genetic information. - Wei-Yang Yu; Ting-Hsuan Sun; Kai-Cheng Hsu; Chia-Chun Wang; Shang-Yu Chien; Chon-Haw Tsai; Yu-Wan Yang (Comput. Biol. Medicine, 2024)

Deep learning analysis of exercise stress electrocardiography for identification of significant coronary artery disease. - Hsin-Yueh Liang; Kai-Cheng Hsu; Shang-Yu Chien; Chen-Yu Yeh; Ting-Hsuan Sun; Meng-Hsuan Liu; Kee Koon Ng (Frontiers Artif. Intell., 2025)