Microstructure Instance Segmentation from Aluminum Alloy Metallographic Image Using Different Loss Functions. - Dali Chen; Dinghao Guo; Shixin Liu; Fang Liu (Symmetry, 2020)

Online learning method based on support vector machine for metallographic image segmentation. - Mingchun Li; Dali Chen; Shixin Liu; Dinghao Guo (Signal Image Video Process., 2021)

A Spatio-temporal Feature Fusion Network for Intelligent Analysis of Breast Cancer Contrast-Enhanced Ultrasound Video. - Mingjun Han; Dinghao Guo; Jizhong Yuan; Chunyu Lu (BIC, 2024)

A multimodal breast cancer diagnosis method based on Knowledge-Augmented Deep Learning. - Dinghao Guo; Chunyu Lu; Dali Chen; Jizhong Yuan; Qimu Duan; Zheng Xue; Shixin Liu; Ying Huang (Biomed. Signal Process. Control., 2024)

Weakly supervised semantic segmentation with multi-task learning and segment anything model. - Zheng Xue; Dinghao Guo; Dali Chen; Shixin Liu (Neurocomputing, 2025)

Weakly supervised semantic segmentation via multi-type semantic affinity learning. - Zheng Xue; Dinghao Guo; Dali Chen; Yumin Zhang; Xin Lin; Shixin Liu (Knowl. Based Syst., 2025)

Semi-supervised image semantic segmentation method with semantic regions patching and uncertainty-guided loss. - Dinghao Guo; Dali Chen; Xin Lin; Zheng Xue; Wei Zheng; Xianling Li (Vis. Comput., 2025)

The angular margin-based contrastive learning framework for breast ultrasound video diagnosis. - Dinghao Guo; Zheng Xue; Dali Chen; Chunyu Lu; Jizhong Yuan; Mingjun Han; Qimu Duan (Biomed. Signal Process. Control., 2026)

Radiomics knowledge-driven deep learning framework for breast cancer ultrasound video diagnosis. - Dinghao Guo; Zheng Xue; Dali Chen; Chunyu Lu; Jun Fu; Jizhong Yuan; Ying Huang (Expert Syst. Appl., 2026)