Histopathologic Cancer Detection by Dense-Attention Network with Incorporation of Prior Knowledge. - Mingyuan Liu 002; Yang Yu; Qingcheng Liao; Jicong Zhang (ISBI, 2020)

Exploring Efficient Volumetric Medical Image Segmentation Using 2.5D Method: An Empirical Study. - Yichi Zhang 007; Qingcheng Liao; Jicong Zhang (CoRR, 2020)

Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation. - Yichi Zhang 007; Qingcheng Liao; Rushi Jiao; Jicong Zhang (CoRR, 2021)

Exploiting Shared Knowledge From Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation. - Yichi Zhang 007; Qingcheng Liao; Lin Yuan; He Zhu; Jiezhen Xing; Jicong Zhang (IEEE J. Biomed. Health Informatics, 2021)

Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions. - Yichi Zhang 007; Qingcheng Liao; Le Ding; Jicong Zhang (Comput. Medical Imaging Graph., 2022)

Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation. - Yichi Zhang 007; Rushi Jiao; Qingcheng Liao; Dongyang Li; Jicong Zhang (Artif. Intell. Medicine, 2023)