LWMA-Net: Light-weighted morphology attention learning for human embryo grading. - Chongwei Wu; Langyuan Fu; Zhiying Tian; Jiao Liu; Jiangdian Song; Wei Guo 016; Yu Zhao; Duo Zheng; Ying Jin; Dongxu Yi; Xiran Jiang (Comput. Biol. Medicine, 2022)

An edge association graph network conforming to embryonic morphology for automated grading of day 3 human embryos. - Shuailin You; Chi Dong; Bo Huang; Langyuan Fu; Yaqiao Zhang; Lihong Han; Xinmeng Rong; Ying Jin; Dongxu Yi; Huazhe Yang; Zhiying Tian; Wenyan Jiang (Biomed. Signal Process. Control., 2025)