LV contour tracking in MRI sequences based on the generalized fuzzy GVF. - Wufan Chen; Shoujun Zhou; Bin Liang (ICIP, 2004)

A New Method for Robust Contour Tracking In Cardiac Image Sequences. - Shoujun Zhou; Wufan Chen; Bin Liang; Guang Dong (ISBI, 2004)

Inferring Vascular Structures in Coronary Artery X-Ray Angiograms Based on Multi-Feature Fuzzy Recognition Algorithm. - Shoujun Zhou; Wufan Chen; Jiangui Zhang; Yongtian Wang (MIAR, 2006)

New approach to the automatic segmentation of coronary artery in X-ray angiograms. - Shoujun Zhou; Jun Yang; Wufan Chen; Yongtian Wang (Sci. China Ser. F Inf. Sci., 2008)

Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system and approximation of regularization coefficient. - Shoujun Zhou; Wufan Chen; Fucang Jia; Qingmao Hu; Yaoqin Xie; Mingyang Chen; Jianhuang Wu (Medical Image Anal., 2013)

One-click detection of coronary artery ostia from three-dimensional CTA data. - Zhenhuan Gong; Zixiao Shen; Di Zhang; Cheng Wang; Shoujun Zhou (ICIA, 2015)

A modified MRF segmentation of brain MR images. - Yuhao Zhang; Pei Lu; Xiaoyun Liu; Shoujun Zhou (CISP-BMEI, 2017)

Vascular centerline extraction of CTA images based on minimal path and Bayesian tracking. - Fan Zhang; Pei Lu; Xiaoyun Liu; Shoujun Zhou (CISP-BMEI, 2017)

The Model Experimental Evaluation of the Cardiovascular Interventional Surgery Robot System. - Fulong Chen 002; Hao Shen; Cheng Wang; Le Xie 002; Shoujun Zhou; Hesheng Wang 001 (DASC/PiCom/DataCom/CyberSciTech, 2018)

Research for a Master-Slave Cerebrovascular Interventional Robotic System. - Hao Shen; Cheng Wang; Le Xie; Shoujun Zhou; Xionghui Zhou (RCAR, 2018)

The line- and block-like structures extraction via ingenious snake. - Shoujun Zhou; Baolin Li; Yuanquan Wang 001; Cheng Wang; Tiexiang Wen; Na Li (Pattern Recognit. Lett., 2018)

A Device-Independent Novel Statistical Modeling for Cerebral TOF-MRA Data Segmentation. - Baochang Zhang 003; Zonghan Wu; Shuting Liu; Shoujun Zhou; Na Li; Gang Zhao (UNSURE/CLIP@MICCAI, 2019)

Statistical Intensity- and Shape-Modeling to Automate Cerebrovascular Segmentation from TOF-MRA Data. - Shoujun Zhou; Na Li; Baochang Zhang 003; Cheng Wang; Zonghan Wu; Jun Yang; Aichi Chien (MICCAI (2), 2019)

Segmentation of Arteriovenous Malformation Based on Weighted Breadth-First Search of Vascular Skeleton. - Zonghan Wu; Baochang Zhang 003; Jun Yang; Na Li; Shoujun Zhou (MIUA, 2019)

An Improved Real-Time Endovascular Guidewire Position Simulation Using Activity on Edge Network. - Jianpeng Qiu; Libo Zhang; Guanyu Yang 001; Yang Chen 008; Shoujun Zhou (IEEE Access, 2019)

A novel robotic system for vascular intervention: principles, performances, and applications. - Hao Shen; Cheng Wang; Le Xie; Shoujun Zhou; Lixu Gu; Hongzhi Xie (Int. J. Comput. Assist. Radiol. Surg., 2019)

A GPU-Based Automatic Approach for Guide Wire Tracking in Fluoroscopic Sequences. - Ken Chen 007; Cheng Wang; Yaoqin Xie; Shoujun Zhou (Int. J. Pattern Recognit. Artif. Intell., 2019)

Extension of the virtual electric field model using bilateral-like filter for active contours. - Shoujun Zhou; Yao Lu; Nana Li; Yuanquan Wang 001 (Signal Image Video Process., 2019)

Statistical modeling and knowledge-based segmentation of cerebral artery based on TOF-MRA and MR-T1. - Na Li; Shoujun Zhou; Zonghan Wu; Baochang Zhang 003; Gang Zhao (Comput. Methods Programs Biomed., 2020)

Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels. - Baochang Zhang 003; Shuting Liu; Shoujun Zhou; Jian Yang 009; Cheng Wang; Na Li; Zonghan Wu; Jun Xia 002 (Neurocomputing, 2020)

GVFOM: a novel external force for active contour based image segmentation. - Ziyang Zhang; Chenrui Duan; Tao Lin; Shoujun Zhou; Yuanquan Wang 001; Xuedong Gao (Inf. Sci., 2020)

A Meshfree Method for Deformation Field Reconstruction of Soft Tissue in Needle Insertion. - Jingtao Chen; Zeng Lin; Shoujun Zhou; Tiexiang Wen; Quan Zeng (ICBBS, 2021)

A novel multi-DoF surgical robotic system for brachytherapy on liver tumor: Design and control. - Xiaofeng Lin; Shoujun Zhou; Tiexiang Wen; Shenghao Jiang; Cheng Wang; Jingtao Chen (Int. J. Comput. Assist. Radiol. Surg., 2021)

Iterative stripe artifact correction framework for TOF-MRA. - Na Li; Shoujun Zhou; Gang Zhao; Zhicheng Zhang; Yaoqin Xie; Xiaokun Liang (Comput. Biol. Medicine, 2021)

Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures. - Ken Chen 007; Wenjian Qin; Yaoqin Xie; Shoujun Zhou (Comput. Medical Imaging Graph., 2021)

Graph attention mechanism with global contextual information for multi-label image recognition. - Xiaoxiao Ban; Peihua Li; Qilong Wang 001; Shoujun Zhou; Shijie Guo; Yuanquan Wang 001 (J. Electronic Imaging, 2021)

Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network. - Xiaokun Liang; Na Li; Zhicheng Zhang; Jing Xiong; Shoujun Zhou; Yaoqin Xie (Medical Image Anal., 2021)

Online Hard Patch Mining Using Shape Models and Bandit Algorithm for Multi-Organ Segmentation. - Jianan He; Guangquan Zhou; Shoujun Zhou; Yang Chen 008 (IEEE J. Biomed. Health Informatics, 2022)

Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation. - Zhiqing Zhang; Guojia Fan; Tianyong Liu; Nan Li; Yuyang Liu; Ziyu Liu; Canwei Dong; Shoujun Zhou (CoRR, 2023)

Context-aware network fusing transformer and V-Net for semi-supervised segmentation of 3D left atrium. - Chenji Zhao; Shun Xiang; Yuanquan Wang 001; Zhaoxi Cai; Jun Shen 008; Shoujun Zhou; Di Zhao; Weihua Su; Shijie Guo; Shuo Li 001 (Expert Syst. Appl., 2023)

Centerline-supervision multi-task learning network for coronary angiography segmentation. - Yuanxiu Zhang; Yufeng Gao; Guangquan Zhou; Jianan He; Jun Xia; Guoyi Peng; Xiaojian Lou; Shoujun Zhou; Hui Tang; Yang Chen 008 (Biomed. Signal Process. Control., 2023)

Semi-supervised segmentation of coronary DSA using mixed networks and multi-strategies. - Yao Pu; Qinghua Zhang; Cheng Qian; Quan Zeng; Na Li; Lijuan Zhang; Shoujun Zhou; Gang Zhao (Comput. Biol. Medicine, 2023)

TAGNet: A transformer-based axial guided network for bile duct segmentation. - Guang-Quan Zhou; Fuxing Zhao; Qing-Han Yang; Kai-Ni Wang; Shengxiao Li; Shoujun Zhou; Jian Lu; Yang Chen 008 (Biomed. Signal Process. Control., 2023)

SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation. - Fuchen Zheng; Xuhang Chen 002; Weihuang Liu; Haolun Li 001; Yingtie Lei; Jiahui He; Chi-Man Pun; Shoujun Zhou (BIBM, 2024)

Overview of the NLPCC 2024 Shared Task 7: Multi-lingual Medical Instructional Video Question Answering. - Bin Li; Yixuan Weng; Qiya Song; Lianhui Liang; Xianwen Min; Shoujun Zhou (NLPCC (5), 2024)

SpineMamba: Enhancing 3D Spinal Segmentation in Clinical Imaging through Residual Visual Mamba Layers and Shape Priors. - Zhiqing Zhang; Tianyong Liu; Guojia Fan; Bin Li; Qianjin Feng; Shoujun Zhou (CoRR, 2024)

ASSNet: Adaptive Semantic Segmentation Network for Microtumors and Multi-Organ Segmentation. - Fuchen Zheng; Xinyi Chen; Xuhang Chen 002; Haolun Li 001; Xiaojiao Guo; Guoheng Huang; Chi-Man Pun; Shoujun Zhou (CoRR, 2024)

Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation. - Fuchen Zheng; Quanjun Li; Weixuan Li; Xuhang Chen 002; Yihang Dong; Guoheng Huang; Chi-Man Pun; Shoujun Zhou (CoRR, 2024)

SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation. - Juzheng Miao; Siping Zhou; Guang-Quan Zhou; Kai-Ni Wang; Meng Yang; Shoujun Zhou; Yang Chen 008 (IEEE Trans. Medical Imaging, 2024)

SBCNet: Scale and Boundary Context Attention Dual-Branch Network for Liver Tumor Segmentation. - Kai-Ni Wang; Shengxiao Li; Zhenyu Bu; Fuxing Zhao; Guang-Quan Zhou; Shoujun Zhou; Yang Chen 008 (IEEE J. Biomed. Health Informatics, 2024)

Automatic Delineation of the 3D Left Atrium From LGE-MRI: Actor-Critic Based Detection and Semi-Supervised Segmentation. - Shun Xiang; Nana Li; Yuanquan Wang 001; Shoujun Zhou; Jin Wei; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2024)

DiffCAS: diffusion based multi-attention network for segmentation of 3D coronary artery from CT angiography. - Jiajia Li; Qing Wu; Yuanquan Wang 001; Shoujun Zhou; Lei Zhang 202; Jin Wei; Di Zhao (Signal Image Video Process., 2024)

Swin-VasMamba: A Topologically Constrained Model For 3D Vascular Segmentation. - Ziyu Liu; Jiaxuan Li; Xiangjian He; Qing Xu 014; Xin Chen; Shoujun Zhou (ICASSP, 2025)

Tcn-Net: A Novel multi-branch segmentation network for vertebrae MRI and X-ray image. - Guojia Fan; Zhiqing Zhang; Tianyong Liu; Shoujun Zhou; Jinhai Liu; Bin Li 083; Fuxia Yang (Biomed. Signal Process. Control., 2025)

SpineMamba: Enhancing 3D spinal segmentation in clinical imaging through residual visual Mamba layers and shape priors. - Zhiqing Zhang; Tianyong Liu; Guojia Fan; Na Li; Bin Li 083; Yao Pu; Qianjin Feng; Shoujun Zhou (Comput. Medical Imaging Graph., 2025)

Uncertainty-guided weakly supervised segmentation of cardiac substructures with adapter fine-tuning and Fourier feature extraction. - Siqi Liu; Shoujun Zhou; Yuan-Quan Wang 001; Ke Lu; Weipeng Liu; Zhida Wang (Expert Syst. Appl., 2025)

FocusMorph: A novel multi-scale fusion network for 3D brain MR image registration. - Tianyong Liu; Zhiqing Zhang; Guojia Fan; Nan Li; Chengwu Xu; Bin Li 083; Gang Zhao; Shoujun Zhou (Pattern Recognit., 2025)

ClinKD: Cross-Modal Clinic Knowledge Distiller For Multi-Task Medical Images. - Hongyu Ge; Longkun Hao; Zihui Xu; Zhenxin Lin; Bin Li; Shoujun Zhou; Hongjin Zhao; Yihang Liu (CoRR, 2025)

VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with LoRA and Atrous Attention. - Adnan Iltaf; Rayan Merghani Ahmed; Bin Li; Shoujun Zhou (CoRR, 2025)

Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs. - Haoran Fan; Bin Li; Yixuan Weng; Shoujun Zhou (CoRR, 2025)

MambaVesselNet: A Novel Approach to Blood Vessel Segmentation Based on State-Space Models. - Tianyong Liu; Zhiqing Zhang; Guojia Fan; Bin Li 083; Shoujun Zhou; Chengwu Xu; Gang Zhao; Fuxia Yang (IEEE J. Biomed. Health Informatics, 2025)

Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion. - Junkai Zhang; Bin Li; Shoujun Zhou; Yue Du (CoRR, 2025)

MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation. - Rayan Merghani Ahmed; Adnan Iltaf; Bin Li; Shoujun Zhou (CoRR, 2025)

Ask2Loc: Learning to Locate Instructional Visual Answers by Asking Questions. - Chang Zong; Bin Li; Shoujun Zhou; Jian Wan; Lei Zhang 001 (CoRR, 2025)

ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant. - Yifan Xiang; Zhenxi Zhang; Bin Li; Yixuan Weng; Shoujun Zhou; Yangfan He; Keqin Li (CoRR, 2025)

Overview of the NLPCC 2025 Shared Task 4: Multi-modal, Multilingual, and Multi-hop Medical Instructional Video Question Answering Challenge. - Bin Li; Shenxi Liu; Yixuan Weng; Yue Du; Yuhang Tian; Shoujun Zhou (CoRR, 2025)

MPFCNet: multi-scale parallel feature fusion convolutional network for 3D knee segmentation from MR images. - Hanzheng Zhang; Qing Wu; Xing Zhao 006; Yuanquan Wang 001; Shoujun Zhou; Lei Zhang 202; Tao Zhang 006 (Pattern Anal. Appl., 2025)

Small but mighty: enhancing time series forecasting with lightweight LLMs. - Haoran Fan; Bin Li 083; Yixuan Weng; Shoujun Zhou (J. Supercomput., 2025)

M3-Med: A Benchmark for Multi-lingual, Multi-modal, and Multi-hop Reasoning in Medical Instructional Video Understanding. - Shenxi Liu; Kan Li; Mingyang Zhao; Yuhang Tian; Bin Li; Shoujun Zhou; Hongliang Li; Fuxia Yang (CoRR, 2025)

VLD-Net: Localization and Detection of the Vertebrae From X-Ray Images by Reinforcement Learning With Adaptive Exploration Mechanism and Spine Anatomy Information. - Shun Xiang; Lei Zhang 202; Yuanquan Wang 001; Shoujun Zhou; Xing Zhao 006; Tao Zhang 006; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2025)

Contour-Aware contrastive learning for 3D knee segmentation from MR images. - Xianda Dong; Lei Zhang 202; Xing Zhao 006; Shoujun Zhou; Yuanquan Wang 001; Jun Xia; Tao Zhang 006 (Pattern Anal. Appl., 2025)

ConUDiff: diffusion model with contrastive pretraining and uncertain region optimization for segmentation of left ventricle from echocardiography. - Guohuan Zhang; Lei Zhang 202; Xuetong Fu; Yuanquan Wang 001; Shoujun Zhou; Jin Wei; Di Zhao (Pattern Anal. Appl., 2025)