A Head Gesture Recognition Algorithm. - Jinshan Tang; Ryohei Nakatsu (ICMI, 2000)

A Perfect Reconstruction, Size-Limited Filter Bank for Orthogonal, Wavelet-Based, Finite-Signal Subband Processing. - Jinshan Tang; Yongguang Zhang (Digit. Signal Process., 2001)

An image retrieval algorithm using multiple query images. - Jinshan Tang; Scott T. Acton (ISSPA (1), 2003)

A new contrast measure based image enhancement algorithm in the DCT domain. - Qingling Sun; Jinshan Tang (SMC, 2003)

Locating human faces in a complex background including non-face skin colors. - Jinshan Tang; Scott T. Acton (J. Electronic Imaging, 2003)

Image enhancement using a contrast measure in the compressed domain. - Jinshan Tang; Eli Peli; Scott T. Acton (IEEE Signal Process. Lett., 2003)

Ankle cartilage surface segmentation using directional gradient vector flow snakes. - Jinshan Tang; Steven Millington; Scott T. Acton; Jeff Crandall; Shepard Hurwitz (ICIP, 2004)

A contrast based image fusion technique in the DCT domain. - Jinshan Tang (Digit. Signal Process., 2004)

Vessel boundary tracking for intravital microscopy via multiscale gradient vector flow snakes. - Jinshan Tang; Scott T. Acton (IEEE Trans. Biomed. Eng., 2004)

Image enhancement in the JPEG domain for people with vision impairment. - Jinshan Tang; Jeonghoon Kim; Eli Peli (IEEE Trans. Biomed. Eng., 2004)

Image stabilization and registration for tracking cells in the microvasculature. - Adam P. Goobic; Jinshan Tang; Scott T. Acton (IEEE Trans. Biomed. Eng., 2005)

Editorial Introduction to multimedia system technologies for educational tools. - Scott T. Acton; Fumio Kishino; Ryohei Nakatsu; Jinshan Tang; Matthias Rauterberg (Multim. Syst., 2006)

An object-based image retrieval system for digital libraries. - Sridhar Avula; Jinshan Tang; Scott T. Acton (Multim. Syst., 2006)

Surface extraction and thickness measurement of the articular cartilage from MR images using directional gradient vector flow snakes. - Jinshan Tang; Steven Millington; Scott T. Acton; Jeff Crandall; Shepard Hurwitz (IEEE Trans. Biomed. Eng., 2006)

A Pairwise Covariance-Preserving Projection Method for Dimension Reduction. - Xiaoming Liu 004; Zhaohui Wang; Zhilin Feng; Jinshan Tang (ICDM, 2007)

An Image Enhancement Algorithm Based on a Contrast Measure in the Wavelet Domain for Screening Mammograms. - Jinshan Tang; Qingling Sun; Kwabena Agyepong (ICIP (5), 2007)

An image enhancement technique in the DCT domain for cancer detection. - Xiaoming Liu 004; Qingling Sun; Jinshan Tang (ACSCC, 2008)

An improved WSQ fingerprint image compression algorithm. - Jinshan Tang; Xiaoming Liu 004 (ACSCC, 2008)

Absolute Exponential Stability of Recurrent Neural Networks With Generalized Activation Function. - Jun Xu 005; Yong-Yan Cao; Youxian Sun; Jinshan Tang (IEEE Trans. Neural Networks, 2008)

Semi-supervised Discriminant Analysis Based on Dependence Estimation. - Xiaoming Liu 004; Jinshan Tang; Jun Liu 011; Zhilin Feng; Zhaohui Wang (ADMA, 2009)

A multiscale image enhancement method for calcification detection in screening mammograms. - Xiaoming Liu 004; Jinshan Tang; Xiaolong Zhang 002 (ICIP, 2009)

A Direct Image Contrast Enhancement Algorithm in the Wavelet Domain for Screening Mammograms. - Jinshan Tang; Xiaoming Liu 004; Qingling Sun (IEEE J. Sel. Top. Signal Process., 2009)

Introduction to the Issue on Digital Image Processing Techniques for Oncology. - Jinshan Tang; Rangaraj M. Rangayyan; Jianhua Yao 001; Yongyi Yang (IEEE J. Sel. Top. Signal Process., 2009)

A multi-direction GVF snake for the segmentation of skin cancer images. - Jinshan Tang (Pattern Recognit., 2009)

Digital image processing and pattern recognition techniques for the detection of cancer. - Jinshan Tang; Rangaraj M. Rangayyan; Jianhua Yao 001; Yongyi Yang (Pattern Recognit., 2009)

Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances. - Jinshan Tang; Rangaraj M. Rangayyan; Jun Xu 005; Issam El-Naqa; Yongyi Yang (IEEE Trans. Inf. Technol. Biomed., 2009)

Articulated human body pose tracking by suppression based immune particle filter. - Min Jiang; Jinshan Tang; Li Chen 011; Tao Shang; Zhaohui Gan; Xiaoming Liu 004; Qin Xu (ICIP, 2010)

Human motion tracking and estimation of critical points of GGVF of human body for behavior recognition. - Shengwen Guo; Jinshan Tang (SMC, 2010)

Human behavior understanding for video surveillance: Recent advance. - Xin Xu 007; Jinshan Tang; Xiaoming Liu 004; Xiaolong Zhang 002 (SMC, 2010)

Web user behavior monitoring for campus networks. - Xiaolong Zhang 002; Na Zeng; Jinshan Tang; Xin Xu 007 (SMC, 2010)

3D Protein structure prediction with genetic tabu search algorithm. - Xiaolong Zhang 002; Ting Wang; Huiping Luo; Jack Y. Yang; Youping Deng; Jinshan Tang; Mary Qu Yang (BMC Syst. Biol., 2010)

Mass Segmentation in Mammograms Based on Improved Level Set and Watershed Algorithm. - Jun Liu 011; Xiaoming Liu 004; Jianxun Chen; Jinshan Tang (ICIC (2), 2011)

Mass Classification with Level Set Segmentation and Shape Analysis for Breast Cancer Diagnosis Using Mammography. - Xiaoming Liu 004; Xin Xu 007; Jun Liu 011; Jinshan Tang (ICIC (2), 2011)

Adaptive Variance Based Sharpness Computation for Low Contrast Images. - Xin Xu 007; Yinglin Wang; Jinshan Tang; Xiaolong Zhang 002; Xiaoming Liu 004 (ICIC (1), 2011)

Human body pose estimation based on histograms of oriented gradients and Relevance Vector Machine. - Lin Deng; Min Jiang; Jinshan Tang (SMC, 2011)

Improved local binary patterns for classification of masses using mammography. - Jun Liu 011; Xiaoming Liu 004; Jianxun Chen; Jinshan Tang (SMC, 2011)

Suspicious user tracking based on web data analysis. - Zhaohong Qin; Xiaolong Zhang 002; Zong Huang; Na Zeng; Jinshan Tang (SMC, 2011)

Mass segmentation using a combined method for cancer detection. - Jun Liu 011; Jianxun Chen; Xiaoming Liu 004; Lei Chun; Jinshan Tang; Youping Deng (BMC Syst. Biol., 2011)

Robust Automatic Focus Algorithm for Low Contrast Images Using a New Contrast Measure. - Xin Xu 007; Yinglin Wang; Jinshan Tang; Xiaolong Zhang 002; Xiaoming Liu 004 (Sensors, 2011)

Guest Editorial Introduction to the Special Issue on Pattern Recognition Technologies for Anti-Terrorism Applications. - Sos S. Agaian; Jinshan Tang; Sabah Jassim; C. L. Philip Chen; Changshui Zhang; Yongyan Cao (IEEE Trans. Syst. Man Cybern. Part C, 2011)

Gender Recognition Using 3-D Human Body Shapes. - Jinshan Tang; Xiaoming Liu 004; Huaining Cheng; Kathleen M. Robinette (IEEE Trans. Syst. Man Cybern. Part C, 2011)

Head pose estimation based on Active Shape Model and Relevant Vector Machine. - Min Jiang; Lin Deng; Lei Zhang; Jinshan Tang; Chan Fan (SMC, 2012)

Gender recognition with limited feature points from 3-D human body shapes. - Jinshan Tang; Xiaoming Liu 004; Huaining Cheng; Kathleen M. Robinette (SMC, 2012)

A 3-D bilateral filter for speckle reduction in 3-D ultrasound images for cattle follicle segmentation. - Jinshan Tang; Shengwen Guo (SMC, 2012)

A Framework for GPS/INS based Portable Positioning System. - Xin Xu 007; Yinglin Wang; Heming Xu; Xin Tong; Xiaoming Liu 004; Jinshan Tang (SMC, 2012)

Classification of Upper Limb Motion Trajectories Using Shape Features. - Huiyu Zhou 001; Huosheng Hu; Honghai Liu 001; Jinshan Tang (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Automatic Crack Detection and Segmentation Using a Hybrid Algorithm for Road Distress Analysis. - Jinshan Tang; Yanliang Gu (SMC, 2013)

Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation. - Xin Xu 007; Jinshan Tang; Xiaolong Zhang 002; Xiaoming Liu 004; Hong Zhang 022; Yimin Qiu (Sensors, 2013)

A comparison of contrast measurements in passive autofocus systems for low contrast images. - Xin Xu 007; Yinglin Wang; Xiaolong Zhang 002; Shunxin Li; Xiaoming Liu 004; Xiaofeng Wang; Jinshan Tang (Multim. Tools Appl., 2014)

Mass Classification in Mammograms Using Selected Geometry and Texture Features, and a New SVM-Based Feature Selection Method. - Xiaoming Liu 004; Jinshan Tang (IEEE Syst. J., 2014)

Guest Editorial: Computer-Aided Detection or Diagnosis (CAD) Systems. - Jinshan Tang; Sos S. Agaian; Ian M. Thompson (IEEE Syst. J., 2014)

Prediction of hot regions in protein-protein interaction by combining density-based incremental clustering with feature-based classification. - Jing Hu 003; Xiaolong Zhang 002; Xiaoming Liu 004; Jinshan Tang (Comput. Biol. Medicine, 2015)

Cluster driven anisotropic diffusion for speckle reduction in ultrasound images. - Zilong Hu; Jinshan Tang (ICIP, 2016)

A feature-preserving mesh denoising filter for 3-D printers. - Zilong Hu; Jinshan Tang; Nicholas Hendrickson (SMC, 2016)

Comparison of several speckle reduction techniques for 3D ultrasound images. - Zilong Hu; Jinshan Tang; Lei Liang (SMC, 2016)

An interactive image retrieval method. - Ye Jiang; Min Jiang; Jian Luo; Zhaohui Gan; Jinshan Tang (SMC, 2016)

A noisy sparse convolution neural network based on stacked auto-encoders. - Yulin Ding; Xiaolong Zhang 002; Jinshan Tang (SMC, 2017)

Securing Medical Images for Mobile Health Systems Using a Combined Approach of Encryption and Steganography. - Tao Jiang; Kai Zhang 002; Jinshan Tang (ICIC (3), 2018)

Identification of Bruised Apples Using a 3-D Multi-Order Local Binary Patterns Based Feature Extraction Algorithm. - Zilong Hu; Jinshan Tang; Ping Zhang; Babu P. Patlolla (IEEE Access, 2018)

Deep learning for image-based cancer detection and diagnosis - A survey. - Zilong Hu; Jinshan Tang; Ziming Wang; Kai Zhang 002; Ling Zhang 013; Qingling Sun (Pattern Recognit., 2018)

An Image Contrast Enhancement Algorithm in the Wavelet Domain with Visual Feature for Visually Impair. - Fahao Qiao; Jinshan Tang (ICHI, 2019)

A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images. - Chen Zhao; Joyce H. Keyak; Jinshan Tang; Tadashi S. Kaneko; Sundeep Khosla; Shreyasee Amin; Elizabeth J. Atkinson; Lan-Juan Zhao; Michael J. Serou; Chaoyang Zhang; Hui Shen 007; Hong-Wen Deng; et al. (CoRR, 2020)

Multimodal MR Image Synthesis Using Gradient Prior and Adversarial Learning. - Xiaoming Liu 004; Aihui Yu; Xiangkai Wei; Zhifang Pan; Jinshan Tang (IEEE J. Sel. Top. Signal Process., 2020)

Weakly-Supervised Automatic Biomarkers Detection And Classification Of Retinal Optical Coherence Tomography Images. - Xiaoming Liu 004; Zhipeng Liu; Ying Zhang 056; Man Wang; Bo Li; Jinshan Tang (ICIP, 2021)

Limited Times of Data Access Based on SGX in Cloud Storage. - Zhengwei Ren; Xiaoshuang Chen; Jinshan Tang; Lina Wang 001; Yan Tong; Shiwei Xu (SMC, 2021)

An evolvable adversarial network with gradient penalty for COVID-19 infection segmentation. - Juanjuan He; Qi Zhu; Kai Zhang 002; Piaoyao Yu; Jinshan Tang (Appl. Soft Comput., 2021)

MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour information. - Xiaoming Liu 004; Zhengsheng Guo; Jun Cao; Jinshan Tang (Comput. Biol. Medicine, 2021)

Automatic extraction and stenosis evaluation of coronary arteries in invasive coronary angiograms. - Chen Zhao; Aviral Vij; Saurabh Malhotra; Jinshan Tang; Haipeng Tang; Drew Pienta; Zhihui Xu; Weihua Zhou (Comput. Biol. Medicine, 2021)

Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images. - Nan Mu; Hongyu Wang; Yu Zhang; Jingfeng Jiang; Jinshan Tang (Pattern Recognit., 2021)

Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images. - Chen Zhao; Yan Xu; Zhuo He; Jinshan Tang; Yijun Zhang; Jungang Han; Yuxin Shi; Weihua Zhou (Pattern Recognit., 2021)

OCTA Retinal Vessel Segmentation Based on Vessel Thickness Inconsistency Loss. - Xiaoming Liu 004; Lizhi Hu; Xiao Li; Jinshan Tang (ICIP, 2022)

VCT-NET: An Octa Retinal Vessel Segmentation Network Based on Convolution and Transformer. - Xiaoming Liu 004; Di Zhang; Xin Zhu; Jinshan Tang (ICIP, 2022)

RAS2P: Remote Attestation via Self-Measurement for SGX-based Platforms. - Zhengwei Ren; Xueting Li; Li Deng 003; Yan Tong; Shiwei Xu; Jinshan Tang (SMC, 2022)

A novel method for ECG signal classification via one-dimensional convolutional neural network. - Xuan Hua; Jungang Han; Chen Zhao; Haipeng Tang; Zhuo He; Qinghui Chen; Shaojie Tang 002; Jinshan Tang; Weihua Zhou (Multim. Syst., 2022)

Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images. - Xiaoming Liu 004; Quan Yuan; Yaozong Gao; Kelei He; Shuo Wang; Xiao Tang; Jinshan Tang; Dinggang Shen (Pattern Recognit., 2022)

A Morphological Feature-Oriented Algorithm for Extracting Impervious Surface Areas Obscured by Vegetation in Collaboration with OSM Road Networks in Urban Areas. - Taomin Mao; Yewen Fan; Shuang Zhi; Jinshan Tang (Remote. Sens., 2022)

A COVID-19 Detection Algorithm Using Deep Features and Discrete Social Learning Particle Swarm Optimization for Edge Computing Devices. - Chaonan Shen; Kai Zhang 002; Jinshan Tang (ACM Trans. Internet Techn., 2022)

Graph Convolutional Networks with Feature Enhancement for Choroidal Neovascularization Segmentation in OCT Images. - Xiaoming Liu 004; Rui Wang; Jinshan Tang (SMC, 2023)

Weakly Semi-supervised object detection with point annotations in Retinal OCT images. - Xiaoming Liu 004; Xin Zhu; Jinshan Tang (SMC, 2023)

Attention-based Efficient Classification for 3D MRI Image of Alzheimer's Disease. - Yihao Lin; Ximeng Li 004; Yan Zhang 120; Jinshan Tang (SSIP, 2023)

Weakly-supervised localization and classification of biomarkers in OCT images with integrated reconstruction and attention. - Xiaoming Liu 004; Zhipeng Liu; Ying Zhang 056; Man Wang; Jinshan Tang (Biomed. Signal Process. Control., 2023)

An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms. - Nan Mu; Zonghan Lyu; Mostafa Rezaeitaleshmahalleh; Jinshan Tang; Jingfeng Jiang (Medical Image Anal., 2023)

TSSK-Net: Weakly supervised biomarker localization and segmentation with image-level annotation in retinal OCT images. - Xiaoming Liu 004; Qi Liu; Ying Zhang 056; Man Wang; Jinshan Tang (Comput. Biol. Medicine, 2023)

Transformer and convolutional based dual branch network for retinal vessel segmentation in OCTA images. - Xiaoming Liu 004; Di Zhang; Junping Yao; Jinshan Tang (Biomed. Signal Process. Control., 2023)

An EnKF-LSTM Assimilation Algorithm for Crop Growth Model. - Siqi Zhou; Ling Wang 005; Jie Liu 001; Jinshan Tang (CoRR, 2024)

ViST: A Ubiquitous Model with Multimodal Fusion for Crop Growth Prediction. - Junsheng Li; Ling Wang 005; Jie Liu 001; Jinshan Tang (ACM Trans. Sens. Networks, 2024)

Attention Based Cross-Domain Synthesis and Segmentation From Unpaired Medical Images. - Xiaoming Liu 004; Jingling Pan; Xiao Li; Xiangkai Wei; Zhipeng Liu; Zhifang Pan; Jinshan Tang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A bilayer segmentation-recombination network for accurate segmentation of overlapping C. elegans. - Mengqian Ding; Jun Liu 011; Yang Luo; Jinshan Tang (Appl. Soft Comput., 2025)

Weakly supervised segmentation of retinal layers on OCT images with AMD using uncertainty prototype and boundary regression. - Xiaoming Liu 004; Jia Zhang; Ying Zhang 056; Li Chen 011; Liangfu Luo; Jinshan Tang (Medical Image Anal., 2025)

In-situ key update and minimal key set of encrypted outsourced data under binary key-derivation tree. - Zhengwei Ren; Xiaojuan Li; Pei He; Rongwei Yu; Shiwei Xu; Yan Tong; Jinshan Tang (J. Supercomput., 2025)