DCA-DAFFNet: An End-to-End Network With Deformable Fusion Attention and Deep Adaptive Feature Fusion for Laryngeal Tumor Grading From Histopathology Images. - Jiayang Luo; Pan Huang 001; Peng He 002; Biao Wei; Xiaodong Guo; Hualiang Xiao; Yuchun Sun; Sukun Tian; Mi Zhou; Peng Feng 002 (IEEE Trans. Instrum. Meas., 2023)

A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images. - Pan Huang 001; Peng He 002; Sukun Tian; Mingrui Ma; Peng Feng 002; Hualiang Xiao; Francesco Mercaldo; Antonella Santone; Jing Qin 001 (IEEE Trans. Medical Imaging, 2023)

Interpretable laryngeal tumor grading of histopathological images via depth domain adaptive network with integration gradient CAM and priori experience-guided attention. - Pan Huang 001; Xiaoli Zhou; Peng He 002; Peng Feng 002; Sukun Tian; Yuchun Sun; Francesco Mercaldo; Antonella Santone; Jing Qin 001; Hualiang Xiao (Comput. Biol. Medicine, 2023)

Prediction of PD-L1 tumor positive score in lung squamous cell carcinoma with H&E staining images and deep learning. - Qiushi Wang; Xixiang Deng; Pan Huang 001; Qiang Ma; Lianhua Zhao; Yangyang Feng; Yiying Wang; Yuan Zhao; Yan Chen; Peng Zhong; Peng He 002; Mingrui Ma; et al. (Frontiers Artif. Intell., 2024)

MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading. - Pan Huang 001; Chentao Li; Peng He 002; Hualiang Xiao; Yifang Ping; Peng Feng 002; Sukun Tian; Hu Chen; Francesco Mercaldo; Antonella Santone; Hui-yuan Yeh; Jing Qin 001 (Inf. Fusion, 2024)

LA-ViT: A Network With Transformers Constrained by Learned-Parameter-Free Attention for Interpretable Grading in a New Laryngeal Histopathology Image Dataset. - Pan Huang 001; Hualiang Xiao; Peng He 002; Chentao Li; Xiaodong Guo; Sukun Tian; Peng Feng 002; Hu Chen; Yuchun Sun; Francesco Mercaldo; Antonella Santone; Jing Qin 001 (IEEE J. Biomed. Health Informatics, 2024)

MCRANet: MTSL-based connectivity region attention network for PD-L1 status segmentation in H&E stained images. - Xixiang Deng; Jiayang Luo; Pan Huang 001; Peng He 002; Jiahao Li; Yanan Liu; Hualiang Xiao; Peng Feng 002 (Comput. Biol. Medicine, 2025)