Accurate vessel segmentation with optimal combination of features. - Xin Hu; Jinke Wang; Yuanzhi Cheng (BMEI, 2014)

Greedy algorithm based deformable simplex meshes using gradient vector flow as external energy. - Changfa Shi; Changyong Guo; Yuanzhi Cheng; Jinke Wang (BMEI, 2014)

Automatic centerline detection of small three-dimensional vessel structures. - Yuanzhi Cheng; Xin Hu; Yadong Wang; Jinke Wang; Shinichi Tamura (J. Electronic Imaging, 2014)

Sparse Representation-Based Deformation Model for Atlas-Based Segmentation of Liver CT Images. - Changfa Shi; Jinke Wang; Yuanzhi Cheng (ICIG (3), 2015)

Automatic Liver Segmentation Scheme Based on Shape-Intensity Prior Models Using Level Set. - Jinke Wang; Yuanzhi Cheng (ICIG (1), 2015)

Surface-based rigid registration using a global optimization algorithm for assessment of MRI knee cartilage thickness changes. - Changyong Guo; Yuanzhi Cheng; Haoyan Guo; Jinke Wang; Yadong Wang; Shinichi Tamura (Biomed. Signal Process. Control., 2015)

Automatic method for lung segmentation with juxta-pleural nodules from thoracic CT based on border separation and correction. - Yanxia Sun; Jinke Wang (CISP-BMEI, 2016)

Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images. - Jinke Wang; Yuanzhi Cheng; Changyong Guo; Yadong Wang; Shinichi Tamura (Int. J. Comput. Assist. Radiol. Surg., 2016)

Automatic Approach for Lung Segmentation with Juxta-Pleural Nodules from Thoracic CT Based on Contour Tracing and Correction. - Jinke Wang; Haoyan Guo (Comput. Math. Methods Medicine, 2016)

Efficient Statistical Shape Models-Based Image Segmentation Approach Using Deformable Simplex Meshes. - Jinke Wang; Hongliang Zu; Shinichi Tamura (ICIG (2), 2017)

Low-rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentation. - Changfa Shi; Yuanzhi Cheng; Jinke Wang; Yadong Wang; Kensaku Mori; Shinichi Tamura (Medical Image Anal., 2017)

3D surface voxel tracing corrector for accurate bone segmentation. - Haoyan Guo; Sicong Song; Jinke Wang; Maozu Guo 001; Yuanzhi Cheng; Yadong Wang; Shinichi Tamura (Int. J. Comput. Assist. Radiol. Surg., 2018)

Vector Field Convolution-Based B-Spline Deformation Model for 3D Segmentation of Cartilage in MRI. - Jinke Wang; Changfa Shi; Yuanzhi Cheng; Xiancheng Zhou; Shinichi Tamura (Symmetry, 2018)

A Two-Stage High-Dimensional Feature Selection Method for Pulmonary Tumor Classification in CT. - Jinke Wang; Congcong Zhao; Changfa Shi; Shinichi Tamura; Noriyoki Tomiyama (J. Medical Imaging Health Informatics, 2019)

A random forest based computational model for predicting novel lncRNA-disease associations. - Dengju Yao; Xiaojuan Zhan; Xiaorong Zhan; Chee Keong Kwoh 001; Peng Li; Jinke Wang (BMC Bioinform., 2020)

Privacy-preserving clustering for big data in cyber-physical-social systems: Survey and perspectives. - Yaliang Zhao; Samwel K. Tarus; Laurence T. Yang; Jiayu Sun; Yunfei Ge; Jinke Wang (Inf. Sci., 2020)

Full Convolutional Neural Network with Multi-Scale Residual Model for Optic Cup and Disc Segmentation. - Yanxia Sun; Peiqing Lv; Xiaoxu Geng; Haiying Wang 008; Jinke Wang; Shinichi Tamura (J. Medical Imaging Health Informatics, 2020)

A comprehensive hierarchical classification based on multi-features of breast DCE-MRI for cancer diagnosis. - Hui Liu 007; Jinke Wang; Jiyue Gao; Shanshan Liu; Xiang Liu; Zuowei Zhao; Dongmei Guo; Guo Dan (Medical Biol. Eng. Comput., 2020)

SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography. - Jinke Wang; Peiqing Lv; Haiying Wang 008; Changfa Shi (Comput. Methods Programs Biomed., 2021)

SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver CT segmentation. - Jinke Wang; Peiqing Lv; Haiying Wang 008; Changfa Shi (CoRR, 2021)

EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic liver segmentation in CT. - Jinke Wang; Xiangyang Zhang; Peiqing Lv; Lubiao Zhou; Haiying Wang 008 (CoRR, 2021)

Robust subspace clustering based on inter-cluster correlation reduction by low rank representation. - Hui Liu 007; Jinke Wang; Dongmei Guo; Yaqing Fu; Song Chen; Shuang Liu; Guo Dan (Signal Process. Image Commun., 2021)

Federated Tensor Decomposition-Based Feature Extraction Approach for Industrial IoT. - Yuan Gao; Guangming Zhang; Chunchun Zhang; Jinke Wang; Laurence T. Yang; Yaliang Zhao (IEEE Trans. Ind. Informatics, 2021)

Research on Data Security Storage System Based on Distributed Database. - Bo Liu; Lan Zhang; Jinke Wang (ICBDS, 2022)

An Innovative AdaBoost Process Using Flexible Soft Labels on Imbalanced Big Data. - Jinke Wang; Biao Song; Xinchang Zhang; Yuan Tian 003; Ran Guo (ICBDS, 2022)

Few-Shot Node Classification on Attributed Networks Based on Prototypical Network. - Yaliang Zhao; Guangming Zhang; Jinke Wang (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

2.5D lightweight RIU-Net for automatic liver and tumor segmentation from CT. - Peiqing Lv; Jinke Wang; Haiying Wang 008 (Biomed. Signal Process. Control., 2022)

Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT. - Jinke Wang; Xiangyang Zhang; Peiqing Lv; Haiying Wang 008; Yuanzhi Cheng (J. Digit. Imaging, 2022)

Transformer-based Dynamic Fusion Clustering Network. - Chunchun Zhang; Yaliang Zhao; Jinke Wang (Knowl. Based Syst., 2022)

Clustering Information-guided Multi-view Contrastive Graph Clustering. - Yaliang Zhao; Tianchi Zhang 006; Jinke Wang (ICPADS, 2023)

Segmentation of prostate ultrasound images: the state of the art and the future directions of segmentation algorithms. - Jingang Jiang 001; Yafeng Guo; Zhuming Bi; Zhiyuan Huang; Guang Yu; Jinke Wang (Artif. Intell. Rev., 2023)

Towards an extended EfficientNet-based U-Net framework for joint optic disc and cup segmentation in the fundus image. - Jinke Wang; Xiang Li; Yuanzhi Cheng (Biomed. Signal Process. Control., 2023)

Few-shot node classification on attributed networks based on deep metric learning for Cyber-Physical-Social Services. - Guangming Zhang; Yaliang Zhao; Jinke Wang (Pattern Recognit. Lett., 2023)

Structural Embedding Contrastive Graph Clustering. - Linlin Zhang; Yaliang Zhao; Jinke Wang (ISPA, 2024)

CID-SIMS: Complex indoor dataset with semantic information and multi-sensor data from a ground wheeled robot viewpoint. - Yidi Zhang; Ning An 002; Chenhui Shi; Shuo Wang 018; Hao Wei; Pengju Zhang; Xinrui Meng; Zengpeng Sun; Jinke Wang; Wenliang Liang; Fulin Tang; Yihong Wu 002 (Int. J. Robotics Res., 2024)

Segmentation algorithms of dental CT images: A comprehensive review from classical to deep learning trend. - Dianhao Wu; Jingang Jiang 001; Jinke Wang; Zhuming Bi; Guang Yu (Expert Syst. Appl., 2025)

Clinical Learning Order-Guided Deep Neural Network for Brain Tumor Segmentation. - Pengfei Zhang; Jinke Wang; Yuanzhi Cheng; Shinichi Tamura (IEICE Trans. Inf. Syst., 2025)

CC-TransXNet: a hybrid CNN-transformer network for automatic segmentation of optic cup and optic disk from fundus images. - Zhongzheng Yuan; Jinke Wang; Yukun Xu; Min Xu (Medical Biol. Eng. Comput., 2025)