Yan Kang

发表

Low-Dose X-ray CT Reconstruction Algorithm Using Shearlet Sparse Regularization

Dayu Xiao, Xiaotong Zhang, Jianhua Li, 2020, J. Medical Imaging Health Informatics.

Low-Dose X-ray Computed Tomography Reconstruction Using Curvelet Sparse Regularization

Dayu Xiao, Xiaotong Zhang, Nan Bao, 2018, Journal of Medical Imaging and Health Informatics.

Design and application of an assessment protocol for electromagnetic tracking systems.

M. Figl, W. Birkfellner, H. Bergmann, 2005, Medical physics.

A prototype of cone-beam breast computed tomography system and its performance evaluation

Shouliang Qi, Yan Kang, Lisheng Xu, 2010, 2010 3rd International Conference on Biomedical Engineering and Informatics.

Automatic Segmentation of Pulmonary Nodules in CT Images

Yan Kang, Hong Li, Shenshen Sun, 2007, 2007 1st International Conference on Bioinformatics and Biomedical Engineering.

A separable quadratic surrogate total variation minimization algorithm for accelerating accurate CT reconstruction from few‐views and limited‐angle data

Yan Kang, Shouliang Qi, Xiaowen Hou, 2018, Medical physics.

A General Solution to Least Squares Problems with Box Constraints and Its Applications

Lisheng Xu, Dayu Xiao, Jianhua Li, 2016 .

CT-guided lung biopsy: Assessment of fiducials registration accuracy

Nan Bao, Yan Kang, Xiaozhao Chen, 2013, 2013 IEEE International Conference on Medical Imaging Physics and Engineering.

Improved tensor based registration: An heterogeneous approach

E. Haacke, Yan Kang, Hong Zhao, 2012, 2012 IEEE International Conference on Information and Automation.

Iterative Non-negative Deconvolution Algorithms with Alpha-Divergence

Yan Kang, Yueyang Teng, Jing Yan, 2015, 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics.

Mammography Compression in Narrow Band Transmission Environment

Zhiqiong Wang, Chen Zhang, Tianshu Wang, 2016 .

An Automatic Estimation of Arterial Input Function Based on Multi-Stream 3D CNN

Qi Yang, Yan Kang, Shengyu Fan, 2019, Front. Neuroinform..

A CT Image Analysis Method for Evaluating Hematoma Enlargement in Acute Hypertensive Cerebral Hemorrhage

Yan Kang, Y. Duan, Benqiang Yang, 2018, CSAE '18.

Fast and robust polyp detection in CT colonography

Yan Kang, Xiaozhao Chen, Baolin Mao, 2013, 2013 IEEE International Conference on Medical Imaging Physics and Engineering.

3D bone subtraction CT angiography for the evaluation of intracranial aneurysms: a comparison study with 2D bone subtraction CT angiography and conventional non-subtracted CT angiography

Yan Kang, Bochao Cheng, W. Cai, 2015, Acta radiologica.

Self-Adaptive Iterative Step Approach to Noise Reduction in Low-Dose CT Images

Wei Zhang, Yan Kang, Luyang Wang, 2017 .

Knee Bone and Cartilage Segmentation Based on a 3D Deep Neural Network Using Adversarial Loss for Prior Shape Constraint

Yan Kang, N. Verdonschot, T. Tan, 2022, Frontiers in Medicine.

Unsupervised Cerebrovascular Segmentation of TOF-MRA Images Based on Deep Neural Network and Hidden Markov Random Field Model

Qi Yang, Hao Chen, Tao Tan, 2020, Frontiers in Neuroinformatics.

Breast tumor detection in double views mammography based on extreme learning machine

Yan Kang, Zhiqiong Wang, Qixun Qu, 2014, Neural Computing and Applications.

Automatic Kidney Location Method in Multi-Phase MRI Images

Yan Kang, Hong Li, Haoran Sun, 2011, 2011 5th International Conference on Bioinformatics and Biomedical Engineering.

Semi-automatic segmentation of renal cortex and medulla based on dynamic magnetic resonance images

Yan Kang, Hong Li, Haoran Sun, 2010, 2010 3rd International Conference on Biomedical Engineering and Informatics.

Convolutional neural network enhancement of fast-scan low-dose cone-beam CT images for head and neck radiotherapy

Quan Chen, Yan Kang, Stanley Benedict, 2019, Physics in medicine and biology.

The analysis and development of computed 2D optical flow velocity based on phantom data

Han J. W. van Triest, Yan Kang, Fuyu Cai, 2012, 2012 International Conference on Computerized Healthcare (ICCH).

Exploring new quantitative CT image features to improve assessment of lung cancer prognosis

Wei Qian, Yan Kang, Bin Zheng, 2015, Medical Imaging.

Computational fluid dynamics simulation of airflow in the trachea and main bronchi for the subjects with left pulmonary artery sling

Yan Kang, Shouliang Qi, Y. Yue, 2014, Biomedical engineering online.

Identification of COPD From Multi-View Snapshots of 3D Lung Airway Tree via Deep CNN

Yu-Dong Yao, Wei Qian, Yan Kang, 2020, IEEE Access.

The Overview of Mobile CT

Yan Kang, Yueyang Teng, Chaoran Yang, 2016, International Conference on Information Science and Control Engineering.

Low-Dose computed tomography sinogram DE-noising based on joint wavelet and total variation

Wei Zhang, Yan Kang, Wei Zhang, 2016, 2016 13th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP).

Denoising low dose CT images via 3D total variation using CUDA

Wei Zhang, Yan Kang, Xin Xiong, 2013, 2013 IEEE International Conference on Medical Imaging Physics and Engineering.

PRF-RW: a progressive random forest-based random walk approach for interactive semi-automated pulmonary lobes segmentation

Qiang Li, Yan Kang, Xiangju Li, 2020, International Journal of Machine Learning and Cybernetics.

A robust and semi-automatic quantitative measurement of patellofemoral instability based on four dimensional computed tomography.

Nico Verdonschot, Hao Chen, Leo Kluijtmans, 2020, Medical engineering & physics.

An anatomic coordinate system of the femoral neck for highly reproducible BMD measurements using 3D QCT.

Willi A Kalender, Yan Kang, Klaus Engelke, 2005, Computerized Medical Imaging and Graphics.

A rapid, robust multi-echo phase unwrapping method for quantitative susceptibility mapping (QSM) using strategically acquired gradient echo (STAGE) data acquisition

Yongsheng Chen, Saifeng Liu, E. Mark Haacke, 2018, Medical Imaging.

STrategically Acquired Gradient Echo (STAGE) imaging, part I: Creating enhanced T1 contrast and standardized susceptibility weighted imaging and quantitative susceptibility mapping.

Yan Kang, Saifeng Liu, E Mark Haacke, 2018, Magnetic resonance imaging.

Quantitative Reconstruction of Dual K-Edge Contrast Agent Distribution for Photon- Counting Computed Tomography

Yan Kang, Dayu Xiao, Xiaotong Zhang, 2019, IEEE Access.

A new accurate and precise 3-D segmentation method for skeletal structures in volumetric CT data

Yan Kang, Willi A. Kalender, Klaus Engelke, 2003, IEEE Transactions on Medical Imaging.

Lung nodule detection based on GA and SVM

Yan Kang, Wenbo Li, Shenshen Sun, 2015, 2015 8th International Conference on Biomedical Engineering and Informatics (BMEI).

Interactive 3D editing tools for image segmentation

Yan Kang, Willi A. Kalender, Klaus Engelke, 2004, Medical Image Anal..

Pancreatic malformations as seen in congenital syndromes — Developmental perspective with an alternative view

Shouliang Qi, Yan Kang, Lisheng Xu, 2016, International Conference on Informatics and Analytics.

Transient Dynamics Simulation of Airflow in a CT-Scanned Human Airway Tree: More or Fewer Terminal Bronchi?

Jianhua Li, Wei Qian, Shouliang Qi, 2017, Comput. Math. Methods Medicine.

A-ELM⁎: Adaptive Distributed Extreme Learning Machine with MapReduce

Ge Yu, Junchang Xin, Zhiqiong Wang, 2016, Neurocomputing.

Automated White Matter Hyperintensity Detection in Multiple Sclerosis Using 3D T2 FLAIR

Ying Wang, Yi Zhong, Yan Kang, 2014, Int. J. Biomed. Imaging.

Brain-inspired algorithms for retinal image analysis

Julius Hannink, Remco Duits, Erik J. Bekkers, 2016, Machine Vision and Applications.

Accelerating ring artifacts reduction for cone beam CT based on projection data using CUDA

Wei Zhang, Yan Kang, Xin Xiong, 2013, 2013 IEEE International Conference on Medical Imaging Physics and Engineering.

An interleaved sequence for simultaneous magnetic resonance angiography (MRA), susceptibility weighted imaging (SWI) and quantitative susceptibility mapping (QSM).

Yan Kang, Saifeng Liu, E Mark Haacke, 2018, Magnetic resonance imaging.

A new x-ray scatter correction method based on BAG for cone beam CT

Dayu Xiao, Yan Kang, Ping Geng, 2012, 2012 IEEE International Conference on Information and Automation.

Image Patch-Based Net Water Uptake and Radiomics Models Predict Malignant Cerebral Edema After Ischemic Stroke

Yan Kang, Shouliang Qi, Yudong Yao, 2020, Frontiers in Neurology.

DCT-MIL: Deep CNN transferred multiple instance learning for COPD identification using CT images

Yan Kang, Wei Qian, Shouliang Qi, 2020, Physics in medicine and biology.

Automatic pulmonary fissure detection and lobe segmentation in CT chest images

Shouliang Qi, Yan Kang, Mingjie Xu, 2014, BioMedical Engineering OnLine.

Fiducial markers configuration optimization in image-guided surgery.

Yu Chen, Hong Li, Yan Kang, 2014, Bio-medical materials and engineering.

Deep symmetric three-dimensional convolutional neural networks for identifying acute ischemic stroke via diffusion-weighted images.

Shouliang Qi, Yan Kang, Yang Duan, 2021, Journal of X-ray science and technology.

Breast tumor detection in digital mammography based on extreme learning machine

Ge Yu, Zhiqiong Wang, Yan Kang, 2014, Neurocomputing.

Design and application of an assessment protocol for electromagnetic tracking systems.

Helmar Bergmann, Ramin Shahidi, Yan Kang, 2005, Medical physics.

Evaluation of correlation between CT image features and ERCC1 protein expression in assessing lung cancer prognosis

Bin Zheng, Wei Qian, Fleming Lure, 2014, Medical Imaging.

Automated segmentation of trabecular and cortical bone from proton density weighted MRI of the knee

Yan Kang, N. Verdonschot, A. Sprengers, 2018, Medical and Biological Engineering and Computing.

Infiltrative breast cancer initial detection based on double-scale sech template matching

Li Ke, Nan Li, Yingying Chen, 2012, 2012 IEEE International Conference on Information and Automation.

A review of surgery navigation system based on ultrasound guidance

Jianhua Li, Yan Kang, Nan Bao, 2012, 2012 IEEE International Conference on Information and Automation.

ADMM-EM Method for L 1-Norm Regularized Weighted Least Squares PET Reconstruction

Chen Guo, Hang Sun, Yan Kang, 2016, Comput. Math. Methods Medicine.

Semi-supervised Nonnegative Matrix Factorization with Commonness Extraction

Wei Qian, Shouliang Qi, Lisheng Xu, 2016, Neural Processing Letters.

Mass computer-aided diagnosis method in mammogram based on texture features

Li Ke, Yan Kang, Nannan Mu, 2010, 2010 3rd International Conference on Biomedical Engineering and Informatics.

Effects of Dielectric Values of Human Body on Radiation Characteristics of Ingestible Wireless Device Following 1200 MHz

Ying Wang, Max Q.-H. Meng, Yan Kang, 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

Fast and Automatic Segmentation of Ascending Aorta in MSCT Volume Data

Yan Kang, Jiren Liu, Yong Yue, 2009, 2009 2nd International Congress on Image and Signal Processing.

Algorithmic development of myelin water imaging based on multi-component T2 analysis

Shouliang Qi, Yan Kang, Jingshu Zhang, 2012, 2012 IEEE International Conference on Information and Automation.

A new CAD approach for improving efficacy of cancer screening

Lihua Li, Wei Qian, Yan Kang, 2015, Medical Imaging.

Automatic heart positioning method in computed tomography scout images.

Nan Bao, Yan Kang, Shouliang Qi, 2014, Bio-medical materials and engineering.

A Combinational De-Noising Algorithm for Low-Dose Computed Tomography

Wei Zhang, Yan Kang, Wei Zhang, 2017, IGTA.

A Method with Triaxial Acceleration Sensor for Fall Detection of the Elderly in Daily Activities

Lei Zhang, Feifei Yang, Lisheng Xu, 2011, HCI.

Juxta-vascular nodule segmentation based on the flowing entropy and geodesic distance feature

Yan Kang, Linan Fan, Yang Guo, 2013 .

Low-Dose Computed Tomography Image Denoising with Variance-Stabilizing Transformation and Noise Variance Estimation

Wei Zhang, Yan Kang, Yueyang Teng, 2016 .

Automatic 3D segmentation of human airway tree in CT image

Shouliang Qi, Yan Kang, Shengjun Wang, 2010, 2010 3rd International Conference on Biomedical Engineering and Informatics.

A new idea for visualization of lesions distribution in mammogram based on CPD registration method.

Yan Kang, Buer Qi, Hongfei Yu, 2017, Technology and health care : official journal of the European Society for Engineering and Medicine.

An Automatic Registration Approach for Whole Body PET Images and Head MR Images

Yan Kang, Jiren Liu, Mingyue Wang, 2011, 2011 5th International Conference on Bioinformatics and Biomedical Engineering.

A hybrid optimization method for maximum mutual information registration

Yan Kang, Kai Zhao, Jiren Liu, 2010, 2010 3rd International Conference on Biomedical Engineering and Informatics.

Quantification of posterior fossa structures in fetal brain MR images

Han J. W. van Triest, Shouliang Qi, Jun Zhang, 2010, 2010 8th World Congress on Intelligent Control and Automation.

Graph Regularized Sparse Autoencoders with Nonnegativity Constraints

Chen Li, Shouliang Qi, Yan Kang, 2019, Neural Processing Letters.