Jinshan Tang

发表

Speckle reducing anisotropic diffusion for 3D ultrasound images.

S. Acton, Qingling Sun, J. Hossack, 2004, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Image enhancement in the JPEG domain for people with vision impairment

Eli Peli, Jinshan Tang, Jeonghoon Kim, 2004, IEEE Transactions on Biomedical Engineering.

Image enhancement using a contrast measure in the compressed domain

S. Acton, E. Peli, Jinshan Tang, 2003, IEEE Signal Processing Letters.

Robust Automatic Focus Algorithm for Low Contrast Images Using a New Contrast Measure

Yinglin Wang, Xiaoming Liu, Xiaolong Zhang, 2011, Sensors.

Speckle reducing bilateral filter for cattle follicle segmentation

Youping Deng, Qingling Sun, Jinshan Tang, 2010, BMC Genomics.

Mass Classification with Level Set Segmentation and Shape Analysis for Breast Cancer Diagnosis Using Mammography

Xiaoming Liu, Jun Liu, Jinshan Tang, 2011, ICIC.

Modulation domain texture retrieval for CBIR in digital libraries

Scott T. Acton, Joseph P. Havlicek, Jinshan Tang, 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

53.2: A Binocular Stereoscopic Display System with Coupled Convergence and Accommodation Demands

E. Peli, Jinshan Tang, T. Hedges, 2001 .

Automatic Crack Detection and Segmentation Using a Hybrid Algorithm for Road Distress Analysis

Yanliang Gu, Jinshan Tang, Jinshan Tang, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

An Adaptive Anisotropic Diffusion Filter for Noise Reduction in MR Images

Qingling Sun, Jinshan Tang, Jun Liu, 2007, 2007 International Conference on Mechatronics and Automation.

Classification of Clustered Microcalcifications using Resilient Backpropagation Training Algorithm

J. C. Fu, Jinshan Tang, M. Linguraru, 2011 .

Quantitative and topographical evaluation of ankle articular cartilage using high resolution MRI

Bing Li, Jinshan Tang, Siegfried Trattnig, 2007, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images

D. Shen, Jinshan Tang, Xiaoming Liu, 2021, Pattern Recognition.

An improved approach for the segmentation of starch granules in microscopic images

Youping Deng, Jinshan Tang, Shengwen Guo, 2010, BMC Genomics.

Ankle cartilage surface segmentation using directional gradient vector flow snakes

Scott T. Acton, Jinshan Tang, Steven Millington, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

A Morphological Feature-Oriented Algorithm for Extracting Impervious Surface Areas Obscured by Vegetation in Collaboration with OSM Road Networks in Urban Areas

Jinshan Tang, Shuang Zhi, Yewen Fan, 2022, Remote. Sens..

Semantic Segmentation to Extract Coronary Arteries in Invasive Coronary Angiograms

Jinshan Tang, Weihua Zhou, Haipeng Tang, 2022, Journal of Advances in Applied & Computational Mathematics.

Weakly-supervised localization and classification of biomarkers in OCT images with integrated reconstruction and attention

Xiaoming Liu, Jinshan Tang, Zhipeng Liu, 2023, Biomed. Signal Process. Control..

An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms

Jinshan Tang, Jingfeng Jiang, Nan Mu, 2022, Medical Image Anal..

TSSK-Net: Weakly supervised biomarker localization and segmentation with image-level annotation in retinal OCT images

Xiaoming Liu, Jinshan Tang, Qi Liu, 2022, Comput. Biol. Medicine.

3D Protein structure prediction with genetic tabu search algorithm

Ting Wang, Jack Y. Yang, Mary Yang, 2009, 2009 Second International Symposium on Knowledge Acquisition and Modeling.

An object-based image retrieval system for digital libraries

Scott T. Acton, Jinshan Tang, Sridhar Avula, 2006, Multimedia Systems.

Semi-supervised Discriminant Analysis Based on Dependence Estimation

Xiaoming Liu, Zhaohui Wang, Jun Liu, 2009, ADMA.

A Semi-Supervised Relief Based Feature Extraction Algorithm

Jun Liu, Xiaoming Liu, Jinshan Tang, 2008, 2008 Second International Conference on Future Generation Communication and Networking Symposia.

Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images

Chen Zhao, Jinshan Tang, Jungang Han, 2021, Pattern Recognition.

A multiscale image enhancement method for calcification detection in screening mammograms

Xiaoming Liu, Xiaolong Zhang, Jinshan Tang, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances

Yongyi Yang, Rangaraj M. Rangayyan, Issam El-Naqa, 2009, IEEE Transactions on Information Technology in Biomedicine.

An evolvable adversarial network with gradient penalty for COVID-19 infection segmentation

Juanjuan He, Jinshan Tang, Qilin Zhu, 2021, Applied Soft Computing.

Automatic extraction and stenosis evaluation of coronary arteries in invasive coronary angiograms

Saurabh Malhotra, Weihua Zhou, Jinshan Tang, 2021, Comput. Biol. Medicine.

MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour information

Jinshan Tang, Zhengsheng Guo, Xiaoming Liu, 2021, Comput. Biol. Medicine.

Surface extraction and thickness measurement of the articular cartilage from MR images using directional gradient vector flow snakes

Scott T. Acton, Jinshan Tang, Steven Millington, 2006, IEEE Transactions on Biomedical Engineering.

Guest Editorial: Computer-Aided Detection or Diagnosis (CAD) Systems

Sos S. Agaian, Ian Thompson, Jinshan Tang, 2014, IEEE Syst. J..

A novel method for ECG signal classification via one-dimensional convolutional neural network

Weihua Zhou, Chen Zhao, Jinshan Tang, 2020, Multimedia Systems.

Classification of Breast Mass in Mammography with an Improved Level Set Segmentation by Combining Morphological Features and Texture Features

Xiaoming Liu, Jinshan Tang, Jinshan Tang, 2011 .

Deep learning for the identification of bruised apples by fusing 3D deep features for apple grading systems

Jingfeng Jiang, Jinshan Tang, Ping Zhang, 2020 .

Identification of Bruised Apples Using a 3-D Multi-Order Local Binary Patterns Based Feature Extraction Algorithm

Ping Zhang, Zilong Hu, Jinshan Tang, 2018, IEEE Access.

A robust detail preserving anisotropic diffusion for speckle reduction in ultrasound images

Xin Xu, Jinshan Tang, Jun Liu, 2011, BMC Genomics.

Deep learning for image-based cancer detection and diagnosis - A survey

Kai Zhang, Ling Zhang, Jinshan Tang, 2018, Pattern Recognit..

Machine Learning for Medical Applications

Huiru Zheng, Huiyu Zhou, Jinshan Tang, 2015, TheScientificWorldJournal.

Multimodal MR Image Synthesis Using Gradient Prior and Adversarial Learning

Xiaoming Liu, Zhifang Pan, Xiangkai Wei, 2020, IEEE Journal of Selected Topics in Signal Processing.

Image stabilization and registration for tracking cells in the microvasculature

Scott T. Acton, Jinshan Tang, Adam P. Goobic, 2005, IEEE Transactions on Biomedical Engineering.

Vessel boundary tracking for intravital microscopy via multiscale gradient vector flow snakes

Scott T. Acton, Jinshan Tang, S. Acton, 2004, IEEE Transactions on Biomedical Engineering.

Evaluation of intravital tracking algorithms

S.T. Acton, Gang Dong, N. Ray, 2002, The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002..

Image retrieval using segmentation

Scott T. Acton, Jinshan Tang, Sridhar R. Avula, 2003, IEEE Systems and Information Engineering Design Symposium, 2003.

Mass Classification in Mammograms Using Selected Geometry and Texture Features, and a New SVM-Based Feature Selection Method

Xiaoming Liu, Jinshan Tang, Jinshan Tang, 2014, IEEE Systems Journal.

Perfect-Reconstruction Four-Tap Size-limited Filter Banks for Image Fusion Application

Qingling Sun, Jinshan Tang, Yongyan Cao, 2007, 2007 International Conference on Mechatronics and Automation.

A feature-preserving mesh denoising filter for 3-D printers

Jinshan Tang, Zilong Hu, Nicholas Hendrickson, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Mass segmentation using a combined method for cancer detection

Xiaoming Liu, Jun Liu, Youping Deng, 2011, BMC Systems Biology.

Human behavior understanding for video surveillance: Recent advance

Xiaoming Liu, Xiaolong Zhang, Jinshan Tang, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Gender Recognition Using 3-D Human Body Shapes

Kathleen M. Robinette, Xiaoming Liu, Jinshan Tang, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Human motion tracking and estimation of critical points of GGVF of human body for behavior recognition

Jinshan Tang, Shengwen Guo, Jinshan Tang, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

A contrast based image fusion technique in the DCT domain

Jinshan Tang, Jinshan Tang, 2004, Digit. Signal Process..

Gender recognition with limited feature points from 3-D human body shapes

Kathleen M. Robinette, Xiaoming Liu, Jinshan Tang, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A comparison of contrast measurements in passive autofocus systems for low contrast images

Jinshan Tang, Xiaolong Zhang, Xin Xu, 2014, Multimedia Tools and Applications.

on Recent Trends in Engineering and Technology

R. Rangayyan, M. Giger, D. Wolverton, 2017 .

Mass Segmentation in Mammograms Based on Improved Level Set and Watershed Algorithm

Xiaoming Liu, Jun Liu, Jinshan Tang, 2011, ICIC.

Fruit bruise detection based on 3D meshes and machine learning technologies

Ping Zhang, Jinshan Tang, Zilong Hu, 2016, Commercial + Scientific Sensing and Imaging.

Attention Based Cross-Domain Synthesis and Segmentation From Unpaired Medical Images

Xiaoming Liu, Jinshan Tang, Zhipeng Liu, 2024, IEEE Transactions on Emerging Topics in Computational Intelligence.