An effective and robust method for modeling multi-furcation liver vessel by using Gap Border Pairing. - Bin Fang 001; Nanchang Zhong; Yi Wang 074; Yuan Yan Tang; Shenhai Zheng; Zekun Li; Jia-hong Dong; Shao-Xiang Zhang (Comput. Medical Imaging Graph., 2014)

A factorization based active contour model for texture segmentation. - Mingqi Gao 001; Hengxin Chen; Shenhai Zheng; Bin Fang 001 (ICIP, 2016)

Multi-scale B-spline level set segmentation based on Gaussian kernel equalization. - Shenhai Zheng; Bin Fang 001; Patrick S. P. Wang; Laquan Li; Mingqi Gao 001 (ICIP, 2016)

Texture image segmentation using fused features and active contour. - Mingqi Gao 001; Hengxin Chen; Shenhai Zheng; Bin Fang 001; Lin Zhang (ICPR, 2016)

A novel variational method for liver segmentation based on statistical shape model prior and enforced local statistical feature. - Shenhai Zheng; Bin Fang 001; Laquan Li; Mingqi Gao 001; Hongsuo Zhang; Hengxin Chen; Yi Wang 074 (ISBI, 2017)

Automatic Liver Lesion Segmentation in CT Combining Fully Convolutional Networks and Non-negative Matrix Factorization. - Shenhai Zheng; Bin Fang 001; Laquan Li; Mingqi Gao 001; Yi Wang 074; Kaiyi Peng (BIVPCS/POCUS@MICCAI, 2017)

An improved active contour model driven by region-scalable and local Gaussian-distribution fitting energy. - Wei Zhang; Bin Fang 001; Xuegang Wu; Jiye Qian; Weibin Yang; Shenhai Zheng (SPAC, 2017)

B-Spline based globally optimal segmentation combining low-level and high-level information. - Shenhai Zheng; Bin Fang 001; Laquan Li; Mingqi Gao 001; Rui Chen; Kaiyi Peng (Pattern Recognit., 2018)

Liver Vessels Segmentation Based on 3d Residual U-NET. - Wei Yu; Bin Fang 001; Yongqing Liu; Mingqi Gao 001; Shenhai Zheng; Yi Wang 074 (ICIP, 2019)

Feature fusion and non-negative matrix factorization based active contours for texture segmentation. - Mingqi Gao 001; Hengxin Chen; Shenhai Zheng; Bin Fang 001 (Signal Process., 2019)

Automatic liver tumour segmentation in CT combining FCN and NMF-based deformable model. - Shenhai Zheng; Bin Fang 001; Laquan Li; Mingqi Gao 001; Yi Wang 074; Kaiyi Peng (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

A contour-aware feature-merged network for liver segmentation based on shape prior knowledge. - Lifang Zhou; Xueyuan Deng; Weisheng Li 001; Shenhai Zheng; Bangjun Lei (Neurocomputing, 2021)

Multi-Scale Adversarial Learning and Difficult Supervision for Kidney and Kidney Tumor Segmentation. - Shenhai Zheng; Qiuyu Sun; Xin Ye; Weisheng Li 001; Laquan Li (BMVC, 2022)

PET/CT Co-Segmentation Based on Hybrid Active Contour Model. - Chuangbo Jiang; Shenhai Zheng; Laquan Li (ICIP, 2022)

msFormer: Adaptive Multi-Modality 3D Transformer for Medical Image Segmentation. - Jiaxin Tan; Chuangbo Jiang; Laquan Li; Haoyuan Li; Weisheng Li 001; Shenhai Zheng (PRCV (2), 2022)

L2-Norm Scaled Transformer for 3D Head and Neck Primary Tumors Segmentation in PET-CT. - Shenhai Zheng; Jiaxin Tan; Chuangbo Jiang; Weisheng Li 001; Laquan Li (SMC, 2022)

Personalized Federated Learning with Local Optimization Models. - Shenhai Zheng; Haihan Xu; Peng Han; Yuanyuan Li; Yufei Chen; Qing Chen (ICPADS, 2023)

Efficient Covert Communication Scheme Based on Ethereum. - Yuanyuan Li; Wei Chen 123; Xin Huang; Peng Han; Shenhai Zheng; Zhiqin Zhu (TrustCom, 2023)

3D PET/CT Tumor Co-Segmentation Based on Background Subtraction Hybrid Active Contour Model. - Laquan Li; Chuangbo Jiang; Patrick Shen-Pei Wang; Shenhai Zheng (Int. J. Pattern Recognit. Artif. Intell., 2023)

Automatic abdominal segmentation using novel 3D self-adjustable organ aware deep network in CT images. - Laquan Li; Haiguo Zhao; Hong Wang; Weisheng Li 001; Shenhai Zheng (Biomed. Signal Process. Control., 2023)

Efficient model-informed co-segmentation of tumors on PET/CT driven by clustering and classification information. - Laquan Li; Chuangbo Jiang; Lei Yu; Xianhua Zeng; Shenhai Zheng (Comput. Biol. Medicine, 2024)

Shape-Scale Co-Awareness Network for 3D Brain Tumor Segmentation. - Lifang Zhou; Yu Jiang; Weisheng Li 001; Jun Hu; Shenhai Zheng (IEEE Trans. Medical Imaging, 2024)

CoGAP: A Personalized Federated Learning Method Using Collaborative Optimization for Medical Image Classification. - Shenhai Zheng; Congyu Li; Sian Wen; Xi Gao; Lei Yu (ICASSP, 2025)

Federated Hybrid-Supervised Learning for Universal Medical Image Segmentation. - Shenhai Zheng; Sian Wen; Congyu Li; Qing Chen; Laquan Li (ICASSP, 2025)

Weak-prior dual cognitive attention lightweight network for abdominal multi-organ segmentation. - Shenhai Zheng; Jianfei Li; Haiguo Zhao; Weisheng Li 001; Yufei Chen; Lei Yu (Pattern Recognit., 2025)

SR-LBSCC: Super resolution based screen content image compression at low bitrate. - Tong Tang; Min Li; Xin Zhang; Shenhai Zheng; Weisheng Li 001 (Pattern Recognit. Lett., 2025)

Asymmetric Adaptive Heterogeneous Network for Multi-Modality Medical Image Segmentation. - Shenhai Zheng; Xin Ye; Chaohui Yang; Lei Yu; Weisheng Li 001; Xinbo Gao 001; Yue Zhao 012 (IEEE Trans. Medical Imaging, 2025)

Semi-supervised medical image segmentation method using multi-scale consistency adversarial learning. - Yujie Feng; Xue Tang; Qiuyu Sun; Weisheng Li 001; Shenhai Zheng (Biomed. Signal Process. Control., 2026)