研究發表 | 最新消息

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

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

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.

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