Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization. - Xiaoya Qiao; Chunjuan Jiang; Panli Li; Yuan Yuan 022; Qinglong Zeng; Lei Bi 001; Shaoli Song; Jinman Kim; David Dagan Feng; Qiu Huang (IEEE J. Biomed. Health Informatics, 2022)

Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray. - Yihang Wang 003; Chunjuan Jiang; Youqing Wu; Tianxu Lv; Heng Sun; Yuan Liu 021; Lihua Li 002; Xiang Pan (IEEE J. Biomed. Health Informatics, 2022)

Joint model- and immunohistochemistry-driven few-shot learning scheme for breast cancer segmentation on 4D DCE-MRI. - Youqing Wu; Yihang Wang 003; Heng Sun; Chunjuan Jiang; Bo Li; Lihua Li 002; Xiang Pan (Appl. Intell., 2023)

A local-global unified scheme driven by positionable texture and multi-level boundary for lung cancer organoids segmentation. - Jiansong Fan; Tianxu Lv; Shunyuan Jia; Yuan Liu 021; Ruihong Deng; Zexin Chen; Yu Zhu; Lihua Li 002; Chunjuan Jiang; Jianming Ni; Xiang Pan (Expert Syst. Appl., 2024)

AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast cancer. - Tianxu Lv; Xiaoyan Hong; Yuan Liu 021; Kai Miao; Heng Sun; Lihua Li 002; Chuxia Deng; Chunjuan Jiang; Xiang Pan (Comput. Methods Programs Biomed., 2024)

Multi-contrast learning-guided lightweight few-shot learning scheme for predicting breast cancer molecular subtypes. - Xiang Pan; Pei Wang; Shunyuan Jia; Yihang Wang 003; Yuan Liu 021; Yan Zhang; Chunjuan Jiang (Medical Biol. Eng. Comput., 2024)

DCDiff: Dual-Granularity Cooperative Diffusion Models for Pathology Image Analysis. - Jiansong Fan; Tianxu Lv; Pei Wang; Xiaoyan Hong; Yuan Liu 021; Chunjuan Jiang; Jianming Ni; Lihua Li 002; Xiang Pan (IEEE Trans. Medical Imaging, 2024)