A System for Predicting Hospital Admission at Emergency Department Based on Electronic Health Record Using Convolution Neural Network. - Li-Hung Yao; Ka-Chun Leung; Jheng-Huang Hong; Chu-Lin Tsai; Li-Chen Fu (SMC, 2020)

Distance Ordering: A Deep Supervised Metric Learning for Pain Intensity Estimation. - Jie Ting; Yi-Cheng Yang; Li-Chen Fu; Chu-Lin Tsai; Chien-Hua Huang (ICMLA, 2021)

A Novel Interpretable Deep-Learning-Based System for Triage Prediction in the Emergency Department: A Prospective Study. - Ka-Chun Leung; Yu-Ting Lin; De-Yang Hong; Chu-Lin Tsai; Chien-Hua Huang; Li-Chen Fu (SMC, 2021)

Deep learning-based Emergency Department In-hospital Cardiac Arrest Score (Deep EDICAS) for early prediction of cardiac arrest and cardiopulmonary resuscitation in the emergency department. - Yuan-Xiang Deng; Jyun-Yi Wang; Chia-Hsin Ko; Chien-Hua Huang; Chu-Lin Tsai; Li-Chen Fu (BioData Min., 2024)

Comparison of neuroprognostic performance between manually and automatically computed gray-white matter ratios on brain computed tomography following cardiac arrest: A systematic review and meta-analysis. - Chih-Hung Wang; Chu-Lin Tsai; Hua Li; Chin-Hua Su; Tou-Yuan Tsai; Joyce Tay; Cheng-Yi Wu; Meng-Che Wu; Maximilian H. T. Schmieschek; Oezguer A. Onur; Chien-Chang Lee; Chien-Hua Huang (NeuroImage, 2025)