DSGMFFN: Deepest semantically guided multi-scale feature fusion network for automated lesion segmentation in ABUS images. - Zhanyi Cheng; Yanfeng Li 001; Houjin Chen; Zilu Zhang; Pan Pan; Lin Cheng (Comput. Methods Programs Biomed., 2022)

NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results. - Yulun Zhang 001; Kai Zhang 008; Zheng Chen 014; Yawei Li 001; Radu Timofte; Junpei Zhang; Kexin Zhang 003; Rui Peng; Yanbiao Ma; Licheng Jia; Huaibo Huang; Xiaoqiang Zhou; et al. (CVPR Workshops, 2023)

Semi-supervised learning for ABUS tumor detection using deep learning method. - Yanfeng Li 001; Zilu Zhang; Zhanyi Cheng; Lin Cheng; Xin Chen (IET Image Process., 2023)

Multi-domain consistency constraint model for semi-supervised lesion segmentation in automatic breast ultrasound (ABUS). - Yanfeng Li 001; Zhanyi Cheng; Jia Sun; Houjin Chen; Pan Pan; Yihan Ren (Biomed. Signal Process. Control., 2024)

Dual teacher model for semi-supervised ABUS tumor segmentation. - Pan Pan; Houjin Chen; Yanfeng Li 001; Jiaxin Li; Zhanyi Cheng; Shu Wang (Biomed. Signal Process. Control., 2024)