ADAN: An Adversarial Domain Adaptation Neural Network for Early Gastric Cancer Prediction. - Luyang Jie; Pengchen Liang; Ziyuan Zhao; Jianguo Chen 001; Qing Chang 004; Zeng Zeng (EMBC, 2022)

Prognostic risk assessment model and drug sensitivity analysis of colon adenocarcinoma (COAD) based on immune-related lncRNA pairs. - Zezhou Hao; Pengchen Liang; Changyu He; Shuang Sha; Ziyuan Yang; Yixin Liu; Junfeng Shi; Zhenggang Zhu; Qing Chang 004 (BMC Bioinform., 2022)

Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification. - Renkai Wu; Yinghao Liu; Pengchen Liang; Qing Chang 004 (CoRR, 2023)

MCF-SMSIS: Multi-tasking with complementary functions for stereo matching and surgical instrument segmentation. - Renkai Wu; Changyu He; Pengchen Liang; Yinghao Liu; Yiqi Huang; Weiping Liu; Biao Shu; Panlong Xu; Qing Chang 004 (Comput. Biol. Medicine, 2024)

UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation. - Renkai Wu; Yinghao Liu; Pengchen Liang; Qing Chang 004 (CoRR, 2024)

Toward Zero-Shot Learning for Visual Dehazing of Urological Surgical Robots. - Renkai Wu; Xianjin Wang; Pengchen Liang; Zhenyu Zhang; Qing Chang 004; Hao Tang (CoRR, 2024)

RSKD: Enhanced medical image segmentation via multi-layer, rank-sensitive knowledge distillation in Vision Transformer models. - Pengchen Liang; Jianguo Chen 001; Qing Chang 004; Lei Yao (Knowl. Based Syst., 2024)

HSH-UNet: Hybrid selective high order interactive U-shaped model for automated skin lesion segmentation. - Renkai Wu; Hongli Lv; Pengchen Liang; Xiaoxu Cui; Qing Chang 004; Xuan Huang (Comput. Biol. Medicine, 2024)

MHorUNet: High-order spatial interaction UNet for skin lesion segmentation. - Renkai Wu; Pengchen Liang; Xuan Huang; Liu Shi; Yuandong Gu; Haiqin Zhu; Qing Chang 004 (Biomed. Signal Process. Control., 2024)

DSCU-Net: MEMS Defect Detection Using Dense Skip-Connection U-Net. - Shang Wu; Yaxin Zhu; Pengchen Liang (Symmetry, 2024)

Automatic Segmentation of Hemorrhages in the Ultra-Wide Field Retina: Multi-Scale Attention Subtraction Networks and an Ultra-Wide Field Retinal Hemorrhage Dataset. - Renkai Wu; Pengchen Liang; Yiqi Huang; Qing Chang 004; Huiping Yao (IEEE J. Biomed. Health Informatics, 2024)

SK-VM++: Mamba assists skip-connections for medical image segmentation. - Renkai Wu; Liuyue Pan; Pengchen Liang; Qing Chang 004; Xianjin Wang; Weihuan Fang (Biomed. Signal Process. Control., 2025)

Laparoscopic stereo matching using 3-Dimensional Fourier transform with full multi-scale features. - Renkai Wu; Pengchen Liang; Yinghao Liu; Yiqi Huang; Wangyan Li; Qing Chang 004 (Eng. Appl. Artif. Intell., 2025)

H-vmunet: High-order Vision Mamba UNet for medical image segmentation. - Renkai Wu; Yinghao Liu; Pengchen Liang; Qing Chang 004 (Neurocomputing, 2025)

Divide and augment: Supervised domain adaptation via sample-wise feature fusion. - Zhuangzhuang Chen; Bin Pu; Lei Zhao 013; Jie He; Pengchen Liang (Inf. Fusion, 2025)

Topology-Aware Wavelet Mamba for Airway Structure Segmentation in Postoperative Recurrent Nasopharyngeal Carcinoma CT Scans. - Haishan Huang; Pengchen Liang; Naier Lin; Luxi Wang; Bin Pu; Jianguo Chen 001; Qing Chang 004; Xia Shen; Guo Ran (CoRR, 2025)

Vision Foundation Models in Medical Image Analysis: Advances and Challenges. - Pengchen Liang; Bin Pu; Haishan Huang; Yiwei Li; Hualiang Wang; Weibo Ma; Qing Chang 004 (CoRR, 2025)

Semantic Prior Distillation with Vision Foundation Model for Enhanced Rapid Bone Scintigraphy Image Restoration. - Pengchen Liang; Leijun Shi; Huiping Yao; Bin Pu; Jianguo Chen 001; Lei Zhao 013; Haishan Huang; Zhuangzhuang Chen; Zhaozhao Xu; Lite Xu; Qing Chang 004; Yiwei Li (CoRR, 2025)

Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation. - Pengchen Liang; Haishan Huang; Bin Pu; Jianguo Chen 001; Xiang Hua; Jing Zhang; Weibo Ma; Zhuangzhuang Chen; Yiwei Li; Qing Chang 004 (CoRR, 2025)

DCD: A Semantic Segmentation Model for Fetal Ultrasound Four-Chamber View. - Donglian Li; Hui Guo; Minglang Chen; Huizhen Chen; Jialing Chen; Bocheng Liang; Pengchen Liang; Ying Tan (CoRR, 2025)

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation. - Caixu Xu; Junming Wei; Huizhen Chen; Pengchen Liang; Bocheng Liang; Ying Tan; Xintong Wei (CoRR, 2025)

MambaSAM: A Visual Mamba-Adapted SAM Framework for Medical Image Segmentation. - Pengchen Liang; Leijun Shi; Bin Pu; Renkai Wu; Jianguo Chen 001; Lixin Zhou; Lite Xu; Zhuangzhuang Chen; Qing Chang 004; Yiwei Li (IEEE J. Biomed. Health Informatics, 2025)

scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder. - Xiaoxu Cui; Renkai Wu; Yinghao Liu; Peizhan Chen; Qing Chang 004; Pengchen Liang; Changyu He (BMC Bioinform., 2025)