Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure. - Jinping Liu; Hui Liu; Subo Gong; Zhaohui Tang; Yongfang Xie; Huazhan Yin; Jean Paul Niyoyita (Medical Image Anal., 2021)

MCG&BA-Net: Retinal vessel segmentation using multiscale context gating and breakpoint attention. - Pengfei Xu 007; Gangjing Zhao; Jinping Liu; Hadi Jahanshahi; Zhaohui Tang; Subo Gong (IET Image Process., 2022)

Toward Automated Right Ventricle Segmentation via Edge Feature-Induced Self-Attention Multiscale Feature Aggregation Full Convolution Network. - Jinping Liu; Mengke Li; Quanquan Gao; Subo Gong; Zhaohui Tang; Yongfang Xie; Ardashir Mohammadzadeh (IEEE Trans. Instrum. Meas., 2023)

Toward Right Ventricle Segmentation in Cardiac MRIs via Feature Multiplexing and Multiscale Weighted Convolution. - Jinping Liu; Mengke Li; Subo Gong; Ardashir Mohammadzadeh; Guanyi Yang (IEEE J. Biomed. Health Informatics, 2023)

Unsupervised domain adaptation multi-level adversarial learning-based crossing-domain retinal vessel segmentation. - Jinping Liu; Junqi Zhao; Jingri Xiao; Gangjin Zhao; Pengfei Xu 007; Yimei Yang; Subo Gong (Comput. Biol. Medicine, 2024)

Small samples-oriented intrinsically explainable machine learning using Variational Bayesian Logistic Regression: An intensive care unit readmission prediction case for liver transplantation patients. - Jinping Liu; Xiaoqiang Wu; Yongming Xie; Zhaohui Tang; Yongfang Xie; Subo Gong (Expert Syst. Appl., 2024)

Model-agnostic counterfactual explanation: A feature weights-based comprehensive causal multi-objective counterfactual framework. - Jinping Liu; Xiaoqiang Wu; Shiyi Liu; Subo Gong (Expert Syst. Appl., 2025)