Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images. - Feng Gao; Minhao Hu; Min-Er Zhong; Shixiang Feng; Xuwei Tian; Xiaochun Meng; Mayidili Nijiati; Zeping Huang; Minyi Lv; Tao Song 002; Xiaofan Zhang 002; Xiaoguang Zou; et al. (Medical Image Anal., 2022)

Source-Free Semi-Supervised Domain Adaptation for Tuberculosis Recognition. - Jie Ma; Zhijun Xu; Xinyu Xiong; Mayidili Nijiati; Dongyu Zhang; Weijun Sun; Feng Gao 014; Guanbin Li (ISBI, 2024)

Enhancing representation learning with frequency-augmented feature mixture for robust tuberculosis screening. - Abudouresuli Tuersun; Mireayi Tudi; Abudoukeyoumu Abula; Pahatijiang Nijiati; Saimaitikari Abudoubari; Feng Gao; Xiaojian Wu; Zekai Liu; Lei Zhu; Mayidili Nijiati (Vis. Comput., 2026)