研究發表 2023.04.17 Using an Interpretable Machine Learning Model to Predict Corifollitropin Alfa Protocol Fertility & Reproduction Hsing-Hua Lai, Esther En-Shu Kuo, Ryh-Sheng Li, Tzu-Hsuan Chuang, Yao-Cheng Huang, Jhih-Yuan Hsieh, T. Arthur Chang, Yulun Huang, Wen-Ting Hsieh, Yan-Ru Su, and Mark Liu 研究發表 2021.08.13 Estimating the causal effect of embryo transfer day on clinical in vitro fertilization outcomes using propensity score matching BMC Pregnancy and Childbirth Han-Chih Hsieh, Chun-I Lee, En-Yu Lai, Jia-Ying Su, Yi-Ting Huang, Wei-Lin Zheng, Chien-Hong Chen, Chun-Chia Huang, Pin-Yao Lin, Maw-Sheng Lee, Mark Liu & Yen-Tsung Huang 研究發表 2021.05.22 End-to-end deep learning for recognition of ploidy status using time-lapse videos Jurnal of Assisted Reproduction and Genetics Chun-I Lee, Yan-Ru Su, Chien-Hong Chen, T. Arthur Chang, Esther En-Shu Kuo, Wei-Lin Zheng, Wen-Ting Hsieh, Chun-Chia Huang, Maw-Sheng Lee & Mark Liu. 研究發表 2021.05.20 Using deep learning with large dataset of microscope images to develop an automated embryo grading system Fertility & ReproductionVol. 01, No. 01, pp. 51-56 (2019) Tsung-Jui Chen, Wei-Lin Zheng, Chun-Hsin Liu, Ian Huang, Hsing-Hua Lai and Mark Liu
