Prof. Yang Chen

发布者:陈阳发布时间:2021-06-04浏览次数:112

Basic Information

Name:Yang ChenSex:ManBirthday1979/10
Degree:
Ddoctor
Professional Title:
ProfessorQualifications:doctoral supervisor/IEEE senior member
Administrative Machinery:Department of Imaging Science and Technology
Research DirectionArtificial Intelligence; Computer Vision; Pattern Recognition, Medical Signal Image Processing and Analysis
Phone:

E-mail:chenyang.list@seu.edu.cn
Addres:
No.2 Sipailou Xuanwu District,Southeast University,Nanjing,210096,ChinaPostcode:210096


Personal Data

   April 2018 -- Now, Professor Doctoral Supervisor/IEEE senior member School of computer science and engineering, Southeast University,where from September 2014 to September 2015, I worked as a visiting scholar in University of Wisconsin-Madison, USA;

   March 2011 -- March 2013, Postdoctor,Institut National de la Santé et de la Recherche Médicale(INSERM),Doctoral Supervisor:Prof.Jean-Louis COATRIEUX and Christine TOUMOULIN;

   March 2008 -- March 2010,Postdoctor,Chinese University of Hong Kong,Department of Electronic Engineering,Doctoral Supervisor:Prof. Emma MACPHERSON;

   August 2002 -- August 2007,Doctor, First Military Medical University,Biomedical Engineering;

   July 2001 -- August 2002,Engineer,Information Department,Ningbo 113 Hospital,Nanjing Military Area Command;

   August 1996 -- June 2001,Bachelor,First Military Medical University,Biomedical Engineering;

Download

   IEEE,“Curve-like Structure Extraction Using Minimal Path Propagation with Backtracking”, Transaction on Image Processing

Personal Details

   Born in 1979,Doctor/Postdoctor,a professor and doctoral supervisor at the School of Computer Science and Engineering,Southeast University;Imaging Science and Technology Laboratory Executive Deputy Director; IEEE senior member;Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University Executive Deputy Director;IEEE Transactions on Computational Imaging Associate Editor;

Research Direction:(1) Artificial intelligence algorithms and their applications; (2)  Computer Vision; (3) pattern recognition; (4) Medical Image Imaging, Analysis and Processing; (5) Medical Signal Image Processing and Analysis.

Postgraduate Career Prospercts: (1) Recommended to Stanford, Yale and other world-renowned Universities for Doctoral Studies; (2) Famous Companies at home and abroad.

Talent Demand: Postdocs 1-2 Name/Year; Doctoral Student 1-2 Name/Year; Master Student 2-10 Name/Year; undergraduate 1-5 Name/Year.

E-Mail: chenyang.list@seu.edu.cn


Paper List

SCI    

  • 2021

  • [1] Zhan Wu, Rongjun Ge, Minli Wen, Gaoshuang Liu, Chen Yang*, Pinzheng Zhang, Xiaopu He, Jie Hua, Limin Luo and Shuo Li. “ELNet: Automatic classification and segmentation for esophageal lesions using convolutional neural network.” Medical image analysis, 2021,67: 101838.

  • [2] Yu, Xiang, C. Kang, D. Guttery, Seifedine Kadry, Yang Chen and Y. Zhang. “ResNet-SCDA-50 for Breast Abnormality Classification.”IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (2021): 94-102.

  • 2020

  • [1] Haichen Zhu, Dan Tong, Lu Zhang, Shijie Wang, Weiwen Wu, Hui Tang, Yang Chen*, Limin Luo, Jian Zhu*, Baosheng Li. “Temporally Downsampled Cerebral CT Perfusion Image Restoration Using Deep Residual Learning.” International Journal of Computer Assisted Radiology and Surgery,2020, 15(2): 193-201. (https://doi.org/10.1007/s11548-019-02082-1)

    [2] Dianlin Hu, Weiwen Wu, Moran Xu, Yanbo Zhang, Jin Liu, RongJun Ge, Yang Chen*, Limin Luo, Gouenou Coatrieux. “SISTER: Spectral-Image Similarity-based Tensor with Enhanced-sparsity Reconstruction for Sparse-view Multi-energy CT.” IEEE Transactions on Computational Imaging, 2020, 6: 477-490. (In Press)

    [3] Rongjun Ge, Guanyu Yang, Yang Chen*, Limin Luo, Cheng Feng, Hong Ma, Junyi Ren, Shuo Li*. “K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence.”IEEE Transactions on Medical Imaging, 2020, 39(5):1690-1702.

    [4] Yunbo Gu, Hui Tang, Tianling Lv, Yang Chen*, Zhiping Wang, Lu Zhang, Jian Yang, Huazhong Shu, Limin Luo, Gouenou Coatrieux. “Discriminative Feature Representation for Noisy Image Quality Assessment.” Multimedia Tools and Applications, 2020, 79(1):7783-7809. (In Press)

    [5] Yang Li, Zuyi Yu,Yang Chen, Chunfeng Yang, Yue Li, Ai,“Automatic Seizure Detection using Fully Convolutional Nested LSTM.”INTERNATIONAL JOURNAL OF NEURAL SYSTEMS,2020,30 (4):XXX-XXX.(In Press)

    [6] Jianpeng Qiu, Tianling Lyu, Yang Chen*, Shoujun Zhou, Liudong Xing, “An improved matrix-based endovascular guidewire position simulation using fusiform ternary tree.”International Journal of Medical Robotics and Computer Assisted Surgery, 2020,16(4): XXX-XXX. (In Press)

    [7] Zhou, Guangquan, Enze Huo, Mei Yuan, Ping Zhou, R. Wang, K. Wang, Yang Chen and X. He. “A Single-Shot Region-Adaptive Network for Myotendinous Junction Segmentation in Muscular Ultrasound Images.” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control , 2020, 67(12): 2531-2542.

    [8] Yang, Guanyu, Tianling Lv, Yunpeng Shen, S. Li, Jian Yang, Yang Chen, H. Shu, L. Luo and J. Coatrieux. “Vessel Structure Extraction using Constrained Minimal Path Propagation.” Artificial intelligence in medicine, 2020, 105: 101846.

    [9] Wu, Z., Gonglei Shi, Y. Chen, Fei Shi, Xinjian Chen, G. Coatrieux, J. Yang, L. Luo and Shuo  Li. “Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network.” Artificial intelligence in medicine, 2020, 108: 101936.

    [10] Yang Guanyu*, Wang Chuanxia, Yang Jian, Chen Yang*, Tang Lijun, Shao Pengfei, Dillenseger Jean-Louis, Shu Huazhong, Luo Limin, Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images, Bmc Medical Imaging, 2020, 20(1): 1471-2342.

    [11] Zhang Jiulou, Gu Yunbo, Tang Hui, Wang Xiaoqing, Kong Youyong, Chen Yang*, Shu Huazhong*, Coatrieux Jean-Louis, Compressed sensing MR image reconstruction via a deep frequency-division network, Neurocomputing, 2020, 384(346): 1872-8286.

    [12] Liu Gaoshuang#, Hua Jie#, Wu Zhan, Meng Tianfang, Sun Mengxue*, He Xiaopu, Sun Weihao, Li Xueliang, Chen Yang, Automatic classification of esophageal lesions in endoscopic images using a convolutional neural network, Annals of Translational Medicine, 2020, 8(7): 2305-5839.

    [13] Wu Junfeng*, Wang Xiaofeng, Mou Xuanqin, Chen Yang, Liu Shuguang, Low Dose CT Image Reconstruction Based on Structure Tensor Total Variation Using Accelerated Fast Iterative Shrinkage Thresholding Algorithm, Sensors, 2020, 20(6): 1424-8220.

  • 2019

  • [1] Yufeng Gao, Yu Song, Xiangrui Yin, Weiwen Wu, Lu Zhang, Yang Chen*, Wanyin Shi*. “Deep Learning-based Digital Subtraction Angiography Image Generation.”International Journal of Computer Assisted Radiology and Surgery, 2019, 14(10):1775-1784. (https://doi.org/10.1007/s11548-019-02040-x)

    [2] Tianling Lv, Guanyu Yang, Yudong Zhang, Jian Yang, Yang Chen*,  Huazhong Shu, Limin Luo. “Vessel Segmentation Using Centerline Constrained Level Set Method.” Multimedia Tools and Applications, 2019, 78(12): 17051-17075. (https://doi.org/10.1007/s11042-018-7087-x)

    [3] Rongjun Ge, Guanyu Yang, Yang Chen*, Limin Luo, Cheng Feng, Heye Zhang, Shuo Li*. “PV-LVNet: Direct Left Ventricle Multitype Indices Estimation from 2D Echocardiograms of Paired Apical Views with Deep Neural Networks.” Medical Image Analysis, 2019, 58: 101554. (https://doi.org/10.1016/j.media.2019.101554)

    [4] Fei Shi, Ning Cai, Yunbo Gu, Dianlin Hu, Yuhui Ma, Yang Chen*,  Xinjian Chen*. “DeSpecNet: a CNN-based Method for Speckle Reduction in Retinal Optical Coherence Tomography Images.” Physics in Medicine & Biology, 2019, 64(17): 175010. (https://doi.org/10.1088/1361-6560/ab3556)

    [5] Xiangrui Yin, Qianlong Zhao, Jin Liu, Wei Yang, Jian Yang, Guotao Quan, Yang Chen*, Huazhong Shu, Limin Luo, Jean-Louis Coatrieux. “Domain Progressive 3D Residual Convolution Network to Improve Low Dose CT Imaging.” IEEE Transactions on Medical Imaging, 2019. (https://doi.org/10.1109/TMI.2019.2917258)

    [6] Jin Liu, Yi Zhang, Qianlong Zhao, Tianling Lv, Weiwen Wu, Ning Cai, Guotao Quan, Wei Yang, Yang Chen*, Limin Luo, Huazhong Shu, Jean-Louis Coatrieux. “Deep Iterative Reconstruction Estimation (DIRE): Approximate Iterative Reconstruction Estimation for Low Dose CT Imaging.” Physics in Medicine & Biology, 2019. (https://doi.org/10.1088/1361-6560/ab18db)

    [7] Jianpeng Qiu, Libo Zhang, Guanyu Yang, Yang Chen*, Shoujun Zhou*. “An Improved Real-Time Endovascular Guidewire Position Simulation Using Activity on Edge Network.” IEEE Access, 2019, 7: 126618-126624. (https://doi.org/10.1109/ACCESS.2019.2935327)

  • 2018

  • [1] Wei Yang#, Liming Zhong#, Yang Chen, Liyan Lin, Zhentai Lu, Shupeng Liu, Yao Wu, Qianjin Feng*, Wufan Chen. Predicting CT Image from MRI Data through Feature Matching with Learned Nonlinear Local Descriptors. IEEE Transactions on Medical Imaging, 2018, 37(4): 977-987. (SCI, IF: 6.13)

    [2] Yang W , Zhong L , Chen Y , et al. Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors[J]. IEEE Transactions on Medical Imaging, 2018, 37(4):977.

    [3] Longyu Jiang, Runguo He, Jie Liu, Yang Chen, Jiasong Wu, Huazhong Shu, Jean-Louis Coatrieux. Phase-Constrained Parallel Magnetic Resonance Imaging Reconstruction Based on Low-Rank Matrix Completion, IEEE Access, vol. 6, pp. 4941-4954, 2018.

    [4] M Outtas, L Zhang, O Deforges, A Serir, W Hamidouche and Y Chen*.Subjective and objective evaluations of feature selected multi output filter for speckle reduction on ultrasound images.Physics in medicine and biology , 2018

    [5] Jin Liu, Yining Hu, Jian Yang, Yang Chen*, Huazhong Shu, Limin Luo, Qianjing Feng, Zhiguo Gui, Gouenou Coatrieux “3D Feature Constrained Reconstruction for Low Dose CT Imaging,” IEEE Transactions on Circuits and Systems for Video Technology (10.1109/TCSVT.2016.2643009).

    [6] Wei Yang, Huijuan Zhang, Yang Chen*, et al.Improving Low-dose CT Image Using Residual Convolutional NetworkIEEE Access, vol. 5, pp. 24698-24705, 2017.

  • 2017

  • [1] Wei Yang, Huijuan Zhang, Yang Chen* , et al.  Improving Low-dose CT Image Using Residual Convolutional Network 10.1109/ACCESS.2017.2720418

    [2] Yang Chen , Jin Liu, Huazhong Shu*, et al. Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging Scientific Reports 7, Article number: 13868(2017)

    [3] Yang Chen , Lu Zhang, et al. Extended PCJO for the detection-localization of hypersignals and hyposignals in CT images 10.1109/ACCESS.2017.2766438

    [4] Yang Chen, Jin Liu, Yining Hu, Jian Yang,Luyao Shi, Huazhong Shu, Zhiguo Gui,Gouenou Coatrieux and Limin Luo.“Discriminative feature representation: an effective postprocessing solution to low dose CT imaging” Phys. Med. Biol. 62 (2017) 2103

    [5] Jin LiuYang Chen* Discriminative Feature Representation to Improve Projection Data Inconsistency for Low Dose CT Imaging IEEE, Transaction on Medical Imaging, 10.1109/TMI.2017.2739841.

    [6] Hu Chen, Yi Zhang*Yang Chen et al. Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)IEEE, Transaction on Medical Imaging, 10.1109/TMI.2017.2715284.

  • 2016

  • [1] Jin Liu, Yining Hu, Jian Yang, Yang Chen*, Huazhong Shu, Limin Luo, Qianjing Feng, Zhiguo Gui, Gouenou Coatrieux “3D Feature Constrained Reconstruction for Low Dose CT Imaging,” IEEE Transactions on Circuits and Systems for Video Technology (10.1109/TCSVT.2016.2643009).

    [2] Yang Chen, Budde Adam, Ke Li, Yinsheng Li, Jiang Hsieh, and Guang-Hong Chen, “A platform-independent method to reduce CT truncation artifacts using discriminative dictionary representations,” Medical Physics.(doi:10.1002/mp.12032)

    [3] Junfeng Zhang; yining hu; jian yang; Yang Chen*; Jean-Louis Coatrieux; Limin Luo et al. “Sparse-view X-ray CT Reconstruction with Gamma Regularization,” Neurocomputing (http://dx.doi.org/10.1016/j.neucom.2016.12.019).

    [4] Bin ChenYang Chen*Limin Luo et al. “ Blood vessel enhancement via multi-dictionary and sparse coding: Application to retinal vessel enhancing,” Neurocomputing 200(2016)110–117.

    [5] Yang Chen, Jian Yang ; Yudong Zhang ; Huazhong Shu ; Limin Luo ; Coatrieux Jean-Louis ; Qianjing Feng. “Structure-adaptive Fuzzy Estimation for Random-Valued Impulse Noise Suppression,” IEEE Transactions on Circuits and Systems for Video Technology (10.1109/TCSVT.2016.2615444).

    [6] Luyao Shi, Yang Chen*, Huazhong Shu, Limin Luo, Jean-Louis Coatrieux, et al. “Improving Low-dose Cardiac CT Images based on 3D Sparse Representation Scientific Reports 6:22804 | DOI: 10.1038/srep22804 .

    [7] Guanyu Yang, Yang Chen, Huazhong Shu, et al. “Automatic Coronary Calcium Scoring using Non-Contrast and Contrast CT Images” Medical Physics, 2016, 43(5):2174-2186.

    [8] Yang Chen, Yudong Zhang, Jian Yang, Qing Cao, Guanyu Yang, Jian Chen, Huazhong Shu, Limin Luo, Jean-Louis Coatrieux, Qianjing Feng. “Curve-like Structure Extraction Using Minimal Path Propagation with Backtracking,” IEEE, Transaction on Image Processing, 25(2), pp. 988-1003, 2016

  • 2015

  • [1] Yuanjin Li, Huazhong Shu, Yang Chen*, Tao Wang, Zuogang Yue, Yang Wang, “Research on XRII image distortion correction based on biharmonic spline surface interpolation,” Journal of Fiber Bioengineering and Informatics, 8(2), pp. 329-336, 2015

    [2] Luyao Shi, Xindao Yin, Libo Zhang Benqiang Yang, Jie Zhan, Yang Chen*, HuaZhong Shu, Limin Luo, “Improving low-dose brain perfusion computed tomography using 3D dictionary learning based processing,” J. Med. Imaging Health Inf., 5(7), pp. 1-5, 2015.

    [3] Libo Zhang, Benqiang Yang, Zhikun Zhuang, Yining Hu, Yang Chen*, Limin Luo, Huazhong Shu. “Optimized Parallelization for Nonlocal Means Based Low Dose CT Image Processing,” Computational and Mathematical Methods in Medicine, vol. 2015, Article ID 790313, 11 pages, 2015.

    [4] Junfeng Zhang, Yang Chen*, Yining Hu, Limin Luo, Huazhong Shu, Bicao Li, Jin Liu, Coatrieux, Jean-Louis. “Gamma regularization based reconstruction for low dose CT,” Physics in medicine and biology, 60(17): 6901-6921, 2015.

    [5] Weijian Cong, Jian Yang, Danni Ai, Yang Chen, Yue Liu, Yongtian Wang, “Quantitative Analysis of Deformable Model based 3-D Reconstruction of Coronary Artery from Multiple Angiograms,” IEEE Transactions on Biomedical Engineering, 62(8), pp. 2079-20902015.

  • 2014

  • [1] Si Li, Qing Cao, Yang Chen*, Yining Hu, Limin Luo, Toumoulin, Christine. “Dictionary learning based sinogram inpainting for CT sparse reconstruction,” Optik, 125(12), pp. 2862-2867, 2014

    [2] Yang Chen, Luyao Shi, Jian Yang, Yining Hu, Limin Luo, Xindao Yin, Coatrieux, Jean-Louis. “Radiation dose reduction with dictionary learning based processing for head CT,” Australasian Physical & Engineering Sciences in Medicine, 37(3), pp. 483-93, 2014.

    [3] Yang ChenLuyao ShiQianjing FengJian YangHuazhong ShuLimin LuoCoatrieux, J.-L.Wufan Chen. “Artifact Suppressed Dictionary Learning for Low-dose CT Image Processing,” IEEE, Transaction on Medical Imaging, 33(12), pp.2271-2292, 2014.

    [4] Xuehu Wang, Jian Yang, Yang Chen, Danni Ai, Yining Hu, Yongtian Wang, “Optimal Viewing Angle Determination for Multiple Vessel Segments in Coronary Angiographic Image,” IEEE Transactions on Nuclear Science, 61(3), pp. 1290-1303,2014

    [5] Danni Ai, Jian Yang, Yang Chen, Weijian Cong, Jingfan Fan, Yongtian Wang, “Multiresolution Generalized N Dimension PCA for Ultrasound Image Denoising,” Biomedical Engineering Online, 13:112, 13.1 (2014): 112.

    [6] Yang Chen, Jian Yang, Huazhong Shu, Luyao Shi, Jiasong Wu, Limin Luo, Coatrieux, Jean-Louis., Toumoulin, Christine. “2-D Impulse Noise Suppression by Recursive Gaussian Maximum Likelihood Estimation,” PLoS ONE, 9(5): e963862014.

    [7] Jian Yang, Weijian Cong, Yang Chen, Jingfan Fan, Yue Liu and Yongtian Wang, “External force back-projective composition and globally deformable optimization for 3-D coronary artery reconstruction,” Physics in Medicine and Biology, 59(4), pp. 975–1003, 2014.

    [8] Jian Yang, Yang Chen, Jingfan Fan, Danni Ai, Songyuan Tang, “Nonrigid Medical Image Registration by Maxwell Model of Viscoelasticity,” Abstract and Applied Analysis 2014.

  • 2013

  • [1] Yang Chen, Xindao Yin, Luyao Shi, Huazhong Shu, Limin Luo, Coatrieux, Jean-Louis, Toumoulin, Christine, “Improving abdomen tumor low-dose CT images using a fast dictionary learning based processing,” Physics in Medicine and Biology, 58(16), pp. 5803–5820, 2013. (3/8)

    [2] Jun Wang, Shijie Wang, Yang Chen, Jiasong Wu, Coatrieux, Jean-Louis, Limin Luo. “Metal artifact reduction in CT using fusion based prior image,” Medical Physics, 40(8):081903, 2013.

    [3] Quan Zhang, Zhiguo Gui, Yang Chen, Yuanjin Li, Limin Luo, “Bayesian sinogram smoothing with an anisotropic diffusion weighted prior for low-dose X-ray computed tomography,” Optik-International Journal for Light and Electron Optics, 124(17), pp. 2811-2816, 2013.

  • 2012

  • [1] Yang Chen, Yinsheng Li , Hong Guo, Yining Hu, Limin Luo, Xindao Yin, Jianping Gu, Toumoulin, Christine. “CT Metal Artifact Reduction Method Based on Improved Image Segmentation And Sinogram In-painting,” Mathematical Problems in Engineering, vol. 2012, Article ID 786281, 2012.

    [2] Yang Chen, Zhou Yang, Yining Hu, Guangyu Yang, Yongcheng Zhu, Yinsheng Li, Limin Luo, Wufan Chen, Toumoulin, Christine. “Thoracic low-dose CT image processing using an artifact suppressed large-scale nonlocal means,” Physics in Medicine and Biology, 57(9), pp. 2667–2688, 2012.

    [3] Yinsheng Li, Yang Chen*, Yining Hu, Oukili, Ahmed, Limin Luo, Wufan Chen, Toumoulin, C. “A strategy of CT sinogram inpainting based on sinusoid-like curve decomposition and eigenvector-guided interpolation,” J. Opt. Soc. Am. A, 29 (1), pp. 153-163, 2012.

  • 2011

  • [1] Hao Wu, Wenhua Zhang, Dazhi Gao, Xindao Yin, Yang Chen, Weidong Wang. “Fast CT image processing using parallelized non-local means,” Journal of Medical and Biological Engineering, 31(6), pp. 437-441, 2011

    [2] Yang Chen, Yinsheng Li, Weimin Yu, Limin Luo, Wufan Chen, Toumoulin, Christine. “Joint-MAP Tomographic Reconstruction with Patch Similarity Based Mixture Prior Model,” SIAM, Multiscale Modeling and Simulation, 9 (4), pp. 1399-1419, 2011.

    [3] Yang Chen, Wufan Chen, Xindao Yin, Xianghua Ye, Xudong Bao, Limin Luo, Qianjing Feng, Yinsheng Li, Xiaoe Yu. “Improving Low-dose Abdominal CT Images by Weighted Intensity Averaging over Large-scale Neighborhoods,” European Journal of Radiology, 80(2), pp. e42-e49, 2011.

    [4] Yuanjin Li, Yang Chen, Limin Luo, “Fast CT metal artefacts correction based on derivative and region-based flling,” Journal of Medical Imaging and Radiation Oncology, 55(6), pp. 535–541, 2011.

    [5] Yang Chen, Weimin Yu, Yinsheng Li, Zhou Yang, Limin Luo, and Wufan Chen, “Bayesian Image Restoration Using a Large-Scale Total Patch Variation Prior,” Mathematical Problems in Engineering, vol. 2011, Article ID 408241, 2011.

    [6] Yang Chen, Yiwen Sun, E. Pickwell-Macpherson. “Total variation deconvolution for terahertz pulsed imaging,” Inverse Problems in Science & Engineering, 19(2), pp. 223-232, 2011.

  • 2010

  • [1] Yang Chen, Shengyang Huang, and Emma Pickwell-MacPherson, “Frequency-wavelet domain deconvolution for terahertz reflection imaging and spectroscopy,” Optical Express, 18(2), pp. 1177-1190, 2010.

    [2] Yang Chen, Yinsheng Li, Yingmei Dong, Liwei Hao, Limin Luo, and Wufan Chen, “Effective Image Restorations Using a Novel Spatial Adaptive Prior, “ EURASIP Journal on Advances in Signal Processing Volume 2010, Article ID 508089, 2010.

    [3] Yang ChenE. Pickwell-Macpherson , “Improving extraction of impulse response functions using Stationary Wavelet Shrinkage in Terahertz reflection imaging,” Fluctuation and Noise Letters, 9(4), pp. 387-394, 2010.

  • 2009

  • [1] S.Y. Huang, P. C. Ashworth, K. W. C. Kan, Yang Chen, V. P. Wallace, Y. T. Zhang, and E. Pickwell-MacPherson. “Improved sample characterization in terahertz reflection imaging and spectroscopy,” Optical Express, 17(5), pp. 3848-3854, 2009.

    [2] Yang Chen, Dazhi Gao, Cong Nie, Limin Luo, Wufan Chen, Xindao Yin, Yazhong Lin,. “Bayesian statistical reconstruction for low-dose X-ray computed tomography using an adaptive-weighting nonlocal prior,” Computerized Medical Imaging and Graphics, 33(7), pp. 495-500, 2009.

    [3] Yang Chen, Liwei Hao, Xianghua Ye, Wufan Chen, Limin Luo, Xindao Yin, “PET Transmission Tomography Using A Novel Nonlocal MRF Prior,” Computerized Medical Imaging and Graph, 33(8), pp. 623-633, 2009.

  • 2008

  • [1] Yang Chen, Jianhua Ma, Qianjin Feng, Limin Luo, Pengcheng Shi, Wufan Chen. “Nonlocal Prior Bayesian Tomographic Reconstruction,” Journal of Mathematical Imaging and Vision, 30(2), pp.133-146, 2008.

  • 2006

  • [2] Yang Chen, Wufan Chen, Yanqiu Feng and Qianjin Feng”Convergent Bayesian Reconstruction for PET Using New MRF Quadratic Membrane-Plate Hybrid Multi-order Prior,”LECTURE NOTES IN COMPUTER SCIENCEVolume4091/2006: 309-316. Medical Imaging and Augumented Reality.


EI

  • 2017

  • [1] Jiasong Wu, Shijie Qiu, Youyong Kong, Yang Chen, Lotifi Senhadji, Hhuazhong Shu, MomentsNet: A Simple Learning-free Method for Binary Image Recognition,  2017 IEEE International Conference on Image Processing, IEEE ICIP 2017, 2667-2671, 2017.9.17-2017.9.20.

  • 2016

  • [2]J. Zhang, Y. Chen and L. Luo, Improved Nonlocal Means for Low-Dose X Ray CT Image, 2016 3rd International Conference on Information Science and Control Engineering (ICISCE), Beijing, 2016, pp. 410-413.

    [3]J. Liu, Y. Chen, Y. Hu and L. Luo, Low-dose CBCT reconstruction via 3D dictionary learning, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Prague, 2016, pp. 735-738.

    [4]B. Chen, Y. Chen, Z. Shao and L. Luo, Retinal vessel enhancement using multi-dictionary and sparse coding, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, 2016, pp. 893-897.

    [5]Chen Y, Li K, Li Y, et al. Reduction of truncation artifacts in CT images via a discriminative dictionary representation method[C]//SPIE Medical Imaging. International Society for Optics and Photonics, 2016: 97831D-97831D-7.

  • 2015

  • [6]Bin Chen, Yang Chen, Guanyu Yang, Jingyu Meng, Rui Zeng, Limin Luo, “Segmentation of liver tumor via nonlocal active contours,” IEEE. ICIP 2015, pp.3745-3748, 2015

    [7]Luyao Shi, Yang Chen, Limin Luo. “Improving low-dose cardiac CT images using 3D sparse representation based processing,” Proc. SPIE 9412, Medical Imaging 2015

  • 2014

  • [8]Yuanjin Li, Huazhong Shu, Limin Luo, Yang Chen, Tao Wang, Zuogang Yue. “Application of the Delaunay triangulation interpolation in distortion XRII image,” Journal of Southeast University (English Edition), 30(3), pp. 306-310, September 1, 2014

    [9]Y. Chen, Q. Cao, G. Yang, H. Shu, L. Luo, Toumoulin, Christine, Coatrieux, Jean-Louis, “Centerline constrained minimal path propagation for vessel extraction,” IEEE ISBI 2014, pp. 794-797, 2014.

    [10]Luyao Shi, Yang Chen, Huazhong Shu, Limin Luo, Toumoulin, C., Coatrieux, J.-L, “Low-dose CT Image Processing Using Artifact Suppressed Dictionary Learning,” IEEE ISBI 2014, pp. 127-130, 2014.

    [11]Zhikun Zhuang, Yang Chen, Huazhong Shu, Limin Luo, Christine Toumoulin, Jean-Louis Coatrieux, “Fast Low-dose CT Image Processing Using Improved parallelized Nonlocal Means Filtering,” IEEE ICMB 2014, pp.147-150, 2014.

    [12] Xu Zhang, Jia Song Wu, Yang Chen, Guan Yu Yang, Coatrieux, J.L., Hua Zhong Shu. “Coronary cine-angiography segmentation incorporating low-rank priori,” Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on Year: 2014. pp. 168 – 173.

    [13] Jiasong Wu, Longyu Jiang, Yang Chen, Senhadji, L., Huazhong Shu, “A generalized modified split-radix FFT algorithm for N=q×2m and its applications,” Image and Signal Processing (CISP), 2014 7th International Congress on Year: 2014. pp. 799 – 803.

    [14] Guanyu Yang, Yang Chen, Lijun Tang, Huazhong Shu, Toumoulin, C., “Automatic left ventricle segmentation based on multiatlas registration in 4D CT images,” Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on Year: 2014. pp. 413 – 416.

  • 2013

  • [15]Q. Cao, Y. Chen, G. Yang, H. Shu, L. Luo, “Coronary vessel extraction method using an improved minimum path based region growing,” IEEE BMEI, pp. 127-150, 2013.

    [16]Y. Chen, Y. Fei, L. Luo and C. Toumoulin, “Improving abdomen tumor low-dose CT images using dictionary learning based patch processing and unsharp filtering,” IEEE EMBS 2013, pp. 4014-4017,2013.

    [17]Yang Chen, Luyao Shi, Yining Hu, Qing Cao, Fei Yu, Limin Luo, Toumoulin, C, “Confidence WeightedDictionary LearningAlgorithmfor Low-dose CT Image Processing,” IEEE NSS-MIC 2013.

    [18] Fei Yu, Yang Chen, Limin Luo, “CT image denoising based on sparse representation using global dictionary”, Complex Medical Engineering (CME), 2013 ICME International Conference on Year: 2013. pp. 408 - 411

    [19] Yining Hu, Lizhe Xie, Yang Chen, Qing Cao, Limin Luo, Toumoulin,C., “Adaptive. L0 norm constrained reconstructions for sparse-view scan in cone-beam CT,” Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE Year: 2013. pp. 1 – 4.

    [20] Yang Chen, Qing Cao, Zhikun Zhuang, Zhou Yang, Limin Luo, Toumoulin, Christine. “3-D coronary vessel extraction using a novel minimum path based region growing,” Lecture Notes in Computer Science, v7950 LNCS, p502-509, 2013, Image Analysis and Recognition - 10th International Conference, ICIAR 2013, Proceedings

    [21] Yang Chen, Luyao Shi, Yining Hu, Qing Cao, Fei Yu, Limin Luo, Toumoulin, C, “Confidence Weighted Dictionary Learning algorithm for low-dose CT image processing,” Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE Year: 2013. pp. 1 – 4.

  • 2011

  • [22] Weiming Yu, Yang Chen, Limin Luo, “Denoising of low-dose CT images using space-time nonlocal means over large-scale neighborhoods,” IEEE/ICME International Conference on Complex Medical Engineering, pp. 455-459, 2011.

  • 2010

  • [23] Yang Chen, XuDong Bao, Xindao Yin, Limin Luo, Wufan Chen, “ Improving low-dose X-ray CT images by Weighted Intensity Averaging over Large-scale Neighborhoods,” IEEE/CISP Congress on Image and Signal Processing, pp. 727-729, 2010.

    [24] Yinsheng Li, Yang Chen, Xudong Bao, Limin Luo, “Metal artifact reduction in CT based on adaptive steering filter and nonlocal sinogram inpainting,” IEEE/BMEI Congress on Biomedical Engineering and Informatics, pp. 380-383, 2010.

    [25] Lizhe Xie, Yining Hu, Yang Chen, Limin Luo, “Maximun a posteriori based coronary angiograms segmentation method with vessel-like feature and Markov Random Field,” 2010 International Conference on Medical Image Analysis and Clinical Application, MIACA 2010, p 123-126, 2010

  • 2009

  • [26] Yang Chen, E. Pickwell-Macpherson, “Stationary-wavelet Regularized Inverse Filtering: A Robust Deconvolution Approach for Terahertz Reflection imaging,” 34rd International Conference on Infrared, Millimeter and Terahertz Waves [C], Busan, 2009.

  • 2007

  • [27] Yang Chen, Wufan Chen, Pengcheng Shi and Qianjin Feng, “Joint Bayesian PET Reconstruction Algorithm Using A Quadratic Hybrid Prior,” LECTURE NOTES IN COMPUTER SCIENCE, MIRAGE[C], LNCS 4418, pp. 23 – 35, 2007.

    [28] Yang Chen, Wufan Chen, Pengcheng Shi, Qianjin Feng, Yanqiu Feng, Qingqi Wang, Zhiyong Huang, “A Novel Way of Incorporating Large-scale Knowledge into MRF Prior Model,” LECTURE NOTES IN COMPUTER SCIENCEArtificial Intelligence in Medicine Europe conference, pp. 388-392, 2007.

    [29] Yang Chen, Qianjin Feng, Pengcheng Shi, Wufan Chen. “A Novel Nonlocal Quadratic MRF Prior Model for Positron Emission Tomography,” IEEE, ISBI 2007, pp.149-152, 2007.

    [30] Yang Chen, Qianjin Feng, et al. “A Novel Method of Correcting The Sinogram for Postrion Emission Tomography,” IEEE ICME 2007, pp. 1375-1378, 2007.

    [31] Yang Chen, Qianjin Feng, Wufan Chen, Jie Zhan, Pengcheng Shi, “Bayesian Reconstruction Using A Novel Nonlocal MRF Prior for PET Transmission Tomography,” IEEE ICME 2007, pp. 525-528, 2007.