Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS. - Jiamin Liang; Xin Yang 009; Haoming Li 008; Yi Wang 031; Manh The Van; Haoran Dou; Chaoyu Chen; Jinghui Fang; Xiaowen Liang; Zixin Mai; Guowen Zhu; Zhiyi Chen; et al. (ISBI, 2020)

Contrastive Rendering for Ultrasound Image Segmentation. - Haoming Li 008; Xin Yang 009; Jiamin Liang; Wenlong Shi; Chaoyu Chen; Haoran Dou; Rui Li 038; Rui Gao; Guangquan Zhou; Jinghui Fang; Xiaowen Liang; Ruobing Huang; et al. (MICCAI (3), 2020)

CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images. - Haoming Li 008; Jinghui Fang; Shengfeng Liu; Xiaowen Liang; Xin Yang 009; Zixin Mai; Manh The Van; Tianfu Wang 001; Zhiyi Chen; Dong Ni 001 (IEEE J. Biomed. Health Informatics, 2020)

Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound. - Xin Yang 009; Haoming Li 008; Yi Wang 031; Xiaowen Liang; Chaoyu Chen; Xu Zhou 005; Fengyi Zeng; Jinghui Fang; Alejandro Frangi; Zhiyi Chen; Dong Ni 001 (Medical Image Anal., 2021)

Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis. - Jiamin Liang; Xin Yang 009; Yuhao Huang 001; Haoming Li 008; Shuangchi He; Xindi Hu; Zejian Chen; Wufeng Xue; Jun Cheng 006; Dong Ni 001 (Medical Image Anal., 2022)