张麒  博士，教授

办公室：

上海大学宝山校区（东区）翔英楼803室

通信地址(邮政编码):

上海市上大路99号83信箱（200444）

电话：

021-66137256

电子邮件：

zhangq@shu.edu.cn ; zhangq@t.shu.edu.cn

个人主页：

/Prof/zhangq.htm

教育背景  

2005.9 - 2010.7 复旦大学电子工程系医学电子学，工学博士，导师汪源源教授

2008.8 - 2009.8 美国杜克大学(Duke University)生物医学工程系

联合培养博士生(国家留学基金委公派)，导师Morton Friedman教授

2001.9 - 2005.7 复旦大学电子工程系电子信息科学与技术，理学学士

工作经历  

2020.3 - 今 十大网赌博正规信誉网址，教授

2013.3 - 2020.2 十大网赌博正规信誉网址，副教授

2017.10 - 2017.11 英国爱丁堡大学(The University of Edinburgh)医学院，访问学者

2010.7 - 2013.2 十大网赌博正规信誉网址，讲师

发表论文

研究兴趣：医学信号与图像处理、智能医疗、计算机辅助诊断与疗效评估、医学超声工程

截至2021年6月，共发表100多篇论文，SCI论文50篇，详见后文英文介绍“Selected Publications”

主持与参与项目  

主持国家自然科学基金面上项目(No. 62071285)：依托跨领域跨组织器官迁移学习的跟腱损伤超声诊断与预后预测

主持国家自然科学基金国际合作与交流项目(No. 6181101584)：脑疾病研究中人脑突触图像分析的深度学习技术

主持国家自然科学基金面上项目(No. 61671281)：融合颈部淋巴结血流、弹性与结构信息的多模态超声诊断与疗效评估

主持国家自然科学基金青年项目(No. 61401267)：斑块血流灌注时空异质性的高造影组织比超声造影成像

主持上海市自然科学基金(No. 12ZR1444100)：基于声辐射力脉冲成像与计算机图像分析的斑块易损性评价

主持上海市教委“晨光计划”项目(No. 11CG45)：超声造影图像中动脉粥样硬化斑块的特征提取

主持上海市教委上海高校青年教师培养资助计划项目(No. shu11047)：动脉粥样硬化斑块的超声造影图像分割

主持上海高校教师产学研践习计划：践习单位：上海医疗器械股份有限公司

主持上海大学创新基金(No. 10010710007)：基于格子波尔兹曼模型的动脉磁共振图像处理与流场分析

主持同济大学附属东方医院横向项目：基于U-Net与逐点门控深度网络的左心室肥厚智能诊断

主持福建省信息处理与智能控制重点实验室开放项目(No. MJUKF201713)：基于逐点门控深度网络的淋巴结超声造影计算机辅助诊断

主持同济大学附属东方医院横向项目：基于细胞形态学分析的数据处理系统

主持上海交通大学医学院附属同仁医院横向项目：超声影像组学数据分析与处理系统

学术任职  

学术委员：上海市医疗图像与医学知识图谱人工智能重点实验室学术委员会委员，中国生物医学工程学会青年委员会委员，中国仪器仪表学会青年委员会委员，中国医学装备协会超声分会远程及移动超声专委会委员，上海市生物医学工程学会超声专委会委员

杂志编委：Journal of Biomedical Engineering and Informatics; Advanced   Ultrasound in Diagnosis and Therapy

审 稿 人：IEEE Transactions on Medical Imaging；IEEE Transactions on Biomedical Engineering；IEEE Journal of Biomedical and Health Informatics；European Journal of Radiology；Ultrasound   in Medicine and Biology; Ultrasonics; Medical Physics等

项目评审：国家自然科学基金面上项目、青年项目函评专家

获奖情况  

2018.10 中国仪器仪表学会第20届青年学术会议优秀论文

2015.9 中国仪器仪表学会第17届青年学术会议优秀论文

2014.9 上海康复技术与产品创新大赛优胜奖

2013.6 上海大学青年教师课堂教学竞赛理工科组第四名

2011.6 上海市人才计划“晨光计划”(晨光学者)

指导研究生  

当前：黄海博、陈浩波、董玉彩、严逸飞、陈瀛、徐舟

已毕业：

杨利静；黄春春、唐金良、陈帅、姜西源、戴伟、周茉莉、施鹏、索静峰、廖宇、胡妍璐、董怀鹏、林细林、刘跃、张德龙、熊竞宇、石颉、宋爽、朱叶晨、许浩浩、余其徽、田宝园

毕业生去向：华为，平安科技，联影，中国移动，浦发银行，宁德时代等

Professional   Experience

Mar. 2020 – Present  Professor, Institute of Biomedical Engineering, Shanghai University, Shanghai,   China

Mar. 2013 – Feb. 2020 Associate Professor, Institute of   Biomedical Engineering, Shanghai University, Shanghai, China

Oct. 2017 - Nov. 2017 Visiting Scholar, Edinburgh Medical School, The University   of Edinburgh, UK

Jul. 2010 - Feb. 2013  Lecturer, Institute   of Biomedical Engineering, Shanghai University, Shanghai, China

Jun. 2007 - Sep. 2007  Research Intern, Philips Research East Asia (now Philips   Research Asia - Shanghai), Shanghai, China.

Education

Sep. 2005 - Jul. 2010 Ph.D., Department of Electronic Engineering, Fudan   University, Shanghai, China.  Supervisor:   Professor Yuanyuan Wang

Aug. 2008 - Aug. 2009 Visiting Ph.D. Student, Department of Biomedical Engineering, Duke   University, Durham, NC, USA. Supervisor: Professor Morton Friedman

Sep. 2001 - Jul. 2005 B.S., Department of Electronic Engineering, Fudan University,   Shanghai, China

Research   Interests

Biomedical signal and   image processing, computer aided diagnosis and therapeutic effect evaluation,  and medical ultrasonics such as sonoelastography and contrast-enhanced  ultrasound.

Selected   Publications

Journal Publications:

1. Fengjun Liu#, Qi Zhang#, Chao Huang#, Chunzi Shi#, Lin Wang#, Nannan Shi, et al. CT quantification of pneumonia lesions in early days predicts progression to severe illness in a cohort of COVID-19 patients. Theranostics, 2020; 10(12): 5613-5622. ((#Equal contribution; ESI Highly Cited)

2. Haibo Huang, Haobo Chen, Haohao Xu, Ying Chen, Qihui Yu, Yehua Cai*, Qi Zhang*. Cross-Tissue/Organ Transfer Learning for Segmentation of Ultrasound Images using Deep Residual U-Net. Journal of Medical and Biological Engineering, 2021, 41: 137–145

3. Haobo Chen, Haohao Xu, Peng Shi, Yuchen Gong, Zhen Qiu, Lei Shi*, Qi Zhang*. 3-D Gabor-based anisotropic diffusion for speckle noise suppression in dynamic ultrasound images. Physical and Engineering Sciences in Medicine, 2021, 44: 207–219.

4. Fei Yu, Haibo Huang, Qihui Yu, Yuqing Ma, Qi Zhang*, Bo Zhang*. Artificial intelligence-based myocardial texture analysis in etiological differentiation of left ventricular hypertrophy. Annals of Translational Medicine, 2021, 9(2):108(1-9).

5. Nannan Shi, Chao Huang, Qi Zhang*, Chunzi Shi, Fengjun Liu, et al. Longitudinal trajectories of pneumonia lesions and lymphocyte counts associated with disease severity among convalescent COVID-19 patients: a group-based multi-trajectory analysis. BMC Pulmonary Medicine, 2021, accepted.

6. Qiuyue Liao#, Qi Zhang#, Xue Feng#, Haibo Huang#, Haohao Xu#, Baoyuan Tian, Jihao Liu, Qihui Yu, Na Guo, Qun Liu, Bo Huang, Ding Ma, Jihui Ai*, Shugong Xu*, Kezhen Li*. Development and Validation of a Deep Learning Algorithm for Predicting Blastocyst Formation by Time-lapse Monitoring. Communications Biology, 2021, accepted.

7. Hai-xia Yuan#, Qi-hui Yu#, Yan-qun Zhang, Qing Yu, Qi Zhang*, Wen-Ping Wang*. Ultrasound radiomics for preoperative identification of gallbladder true-and pseudo-polyps based on spatial and morphological features. Frontiers in Oncology, 2020, 10:1719(1-10).

8. Ying Chen#, Jianwei Jiang#, Jie Shi, Wanying Chang, Jun Shi, Man Chen*, Qi Zhang*. Dual-mode ultrasound radiomics and intrinsic imaging phenotypes for diagnosis of lymph node lesions. Annals of Translational Medicine, 2020, 8(12): 742(1-15).

9. Nannan Shi, Fengxiang Song, Fengjun Liu, Pengrui Song, Yang Lu, Qinguo Hou, Xinyan Hua, Yun Ling, Jiulong Zhang, Chao Huang, Lei Shi, Zhiyong Zhang, Fei Shan, Qi Zhang*, Yuxin Shi*. Preliminary investigation of relationship between clinical indicators and CT manifestation patterns of COVID-19 pneumonia improvement. Journal of Thoracic Disease, 2020, 12(10):5896-5905.  

10. Qi Zhang*, Shuang Song, Yang Xiao*, et al. Dual-mode artificially-intelligent diagnosis of breast tumours in shear-wave elastography and B-mode ultrasound using deep polynomial networks. Medical Engineering & Physics, 2019, 64, 1-6.

11. Haohao Xu, Yuchen Gong, Xinyi Xia, Dong Li, Zhuangzhi Yan, Jun Shi, and Qi Zhang*. Gabor-based anisotropic diffusion with lattice Boltzmann method for medical ultrasound despeckling. Mathematical Biosciences and Engineering, 2019, 16, 7546–7561.

12. Ying Chen, Xiaomin Qin, Jingyu Xiong, Shugong Xu, Jun Shi, Huabing Lv, Lin Li, Hui Xing∗, Qi Zhang∗. Deep Transfer Learning for Histopathological Diagnosis of Cervical Cancer Using Convolutional Neural Networks with Visualization Schemes. Journal of Medical Imaging and Health Informatics, 2020, 10, 391-400.

13. Qi Zhang*, Shuang Song, Yang Xiao*, Shuai Chen, Jun Shi, Hairong Zheng. Dual-mode artificially-intelligent diagnosis of breast tumours in shear-wave elastography and B-mode ultrasound using deep polynomial networks. Medical Engineering & Physics, 2019, 64, 1-6.

14. Qi Zhang*, Jingyu Xiong, Yehua Cai, Jun Shi, Shugong Xu, Bo Zhang*. Multimodal feature learning and fusion on B-mode ultrasonography and sonoelastography using point-wise gated deep networks for prostate cancer diagnosis. Biomedical Engineering-Biomedizinische Technik, 2020, 65(1): 87–98.

15. Jun Shi, Zeyu Xue, Yakang Dai, Bo Peng, Yun Dong, Qi Zhang, Yingchun Zhang. Cascaded multi-column RVFL+ classifier for single-modal neuroimaging-based diagnosis of Parkinson’s disease. IEEE Transactions on Biomedical Engineering, 2019, 66, 2362 – 2371.

16. Jun Shi, Zheng Li, Shihui Ying, Chaofeng Wang, Qi Zhang, Pingkun Yan. MR image super-resolution via wide residual networks with fixed skip connection. IEEE Journal of Biomedical and Health Informatics. 2019, 23, 1129 - 1140.

17. Jun Shi, Xiao Zheng, Jinjie Wu, Yan Li, Qi Zhang, Shihui Ying. Quaternion Grassmann average network for learning representation of histopathological image. Pattern Recognition. 2019, 89: 67-76.

18. Yechen Zhu, Yangchuan Liu, Qi Zhang, Cishen Zhang∗, and Xin Gao∗. A fast iteration approach to undersampled cone-beam CT reconstruction. Journal of X-Ray Science and Technology, 2019, 27(1), 111-129.

19. Qianru Li#, Qi Zhang#, Yehua Cai, Yinghui Hua*. Patients with Achilles tendon rupture have a degenerated contralateral Achilles tendon: an elastography study. BioMed Research International, 2018, 2367615.  (#Equal contribution)

20. Qi Zhang, Yue Liu, Hong Han*, Jun Shi, Wenping Wang*. Artificial intelligence based diagnosis for cervical lymph node malignancy using the point-wise gated Boltzmann machine. IEEE Access, 2018, 6(1), 60605 - 60612.

21. Jun Shi, Xiao Zheng, Yan Li, Qi Zhang, Shihui Ying. Multimodal neuroimaging feature learning with multimodal stacked deep polynomial networks for diagnosis of Alzheimer's disease. IEEE Journal of Biomedical and Health Informatics. 2018, 22(1): 173-183.

22. Bangming Gong, Jun Shi*, Shihui Ying, Yakang Dai, Qi Zhang, Yun Dong, Hedi An, Yingchun Zhang. Neuroimaging-based diagnosis of Parkinson’s disease with deep neural mapping large margin distribution machine. Neurocomputing. 2018, 320: 141-149.

23. Jun Shi, Qingping Liu, Chaofeng Wang, Qi Zhang, Shihui Ying, Haoyu Xu. Super-resolution reconstruction of MR image with a novel residual learning network Algorithm. Physics in Medicine & Biology. 2018, 63(8):085011.

24. Lehang Guo, Dan Wang, Yiyi Qian, Xiao Zheng, Chongke Zhao, Xiaolong Li, Xiaowan Bo, Wenwen Yue, Qi Zhang, Jun Shi*, Huixiong Xu. A two-stage multi-view learning framework based computer-aided diagnosis of liver tumors with contrast enhanced ultrasound images. Clinical Hemorheology and Microcirculation. 2018, 69(3): 343-354.

25. Yurong Huang, Shuying Li, Jinhua Yu, Yuanyuan Wang, Qi Zhang. Simplified Ultrasound Contrast Agent Microbubble Modeling with Bubbles Interaction. Journal of Medical Imaging and Health Informatics, 2018, 8(7), 1428-1435.

26. Jun Shi, Yiyi Qian, Jinjie Wu, Shichong Zhou*, Yehua Cai*, Qi Zhang, Xiaoxing Feng, Cai Chang. Ultrasound Image Based Tumor Classification via Deep Polynomial Network and Multiple Kernel Learning. Current Medical Imaging Reviews, 2018, 14(2), 301-308.

27. Qi Zhang*, Jingfeng Suo, Wanying Chang, Jun Shi, Man Chen*. Dual-modal computer-assisted evaluation of axillary lymph node metastasis in breast cancer patients on both real-time elastography and B-mode ultrasound. European Journal of Radiology, 2017, 95, 66–74.

28. Qi Zhang*, Yang Xiao, Jingfeng Suo, Jun Shi, Jinhua Yu, Yi Guo, Yuanyuan Wang, Hairong Zheng. Sonoelastomics for Breast Tumor Classification: A Radiomics Approach with Clustering-Based Feature Selection on Sonoelastography. Ultrasound in Medicine and Biology. 2017, 43(5), 1058-1069.

29. Qi Zhang, Yehua Cai, Yinghui Hua, Jun Shi, Yuanyuan Wang, Yi Wang. Sonoelastography shows that Achilles tendons with insertional tendinopathy are harder than asymptomatic tendons. Knee Surgery, Sports Traumatology, Arthroscopy. 2017, 25, 1839–1848.

30. Qi Zhang*, Congcong Yuan, Wei Dai, Lei Tang, Jun Shi, Zuoyong Li, Man Chen*. Evaluating pathologic response of breast cancer to neoadjuvant chemotherapy with computer-extracted features from contrast-enhanced ultrasound videos. Physica Medica, 2017, 39, 156–163.

31. Qi Zhang*, Jing Yao, Yehua Cai, Limin Zhang, Yishuo Wu, Jingyu Xiong, Jun Shi, Yuanyuan Wang, Yi Wang. Elevated hardness of peripheral gland on real-time elastography is an independent marker for high-risk prostate cancers. Radiologia Medica, 2017, 122(12):944-951.

32. Huaipeng Dong, Qi Zhang*, Jun Shi. Intensity Inhomogeneity Compensation and Tissue Segmentation for Magnetic Resonance Imaging with Noise-Suppressed Multiplicative Intrinsic Component Optimization. Optical Engineering, 2017, 56(12), 123103(1-12).

33. Jun Shi, Jinjie Wu, Yan Li, Qi Zhang, Shihui Ying*. Histopathological Image Classification with Color Pattern Random Binary Hashing Based PCANet and Matrix-Form Classifier. IEEE Journal of Biomedical and Health Informatics. 2017, 21 (5): 1327-1337.

34. Yurong Huang, Jinhua Yu*, Yusheng Tong, Shuying Li, Liang Chen*, Yuanyuan Wang, Qi Zhang. Contrast-Enhanced Ultrasound Imaging Based on Bubble Region Detection. Applied Sciences, 2017, 7(10), 1098.

35. Zeju Li, Yuanyuan Wang, Jinhua Yu, Yi Guo, Qi Zhang. Age groups related glioblastoma study based on radiomics approach. Computer Assisted Surgery, 2017, 22, S1, 18-25.

36. Junjie Zhang, Jie Yin, Qi Zhang, Jun Shi*, Yan Li. Robust sound event classification with bilinear multi-column ELM-AE and two-stage ensemble learning. EURASIP Journal on Audio, Speech, and Music Processing. 2017, 11.

37. Qi Zhang, Yang Xiao, Wei Dai, Jingfeng Suo, Congzhi Wang, Jun Shi, Hairong Zheng. Deep learning based classification of breast tumors with shear-wave elastography. Ultrasonics, 2016, 72, 150-157.

38. Jun Shi, Shichong Zhou, Xiao Liu, Qi Zhang, Minhua Lu, Tianfu Wang. Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset. Neurocomputing, 2016, 194, 87–94.

39. Qi Zhang, Chaolun Li, Hong Han, Wei Dai, Jun Shi, Yuanyuan Wang, Wenping Wang:  Spatio-temporal quantification of carotid plaque neovascularization on contrast enhanced ultrasound: Correlation with visual grading and histopathology. European Journal of Vascular and Endovascular Surgery, 2015, 50, 289-296.

40. Qi Zhang, Yang Xiao, Shuai Chen, Congzhi Wang, Hairong Zheng: Quantification of elastic heterogeneity using contourlet-based texture analysis in shear-wave elastography for breast tumor classification. Ultrasound in Medicine and Biology, 2015, 41(2), 588-600.

41. Qi Zhang, Chaolun Li, Moli Zhou, Yu Liao, Chunchun Huang, Jun Shi, Yuanyuan Wang, Wenping Wang: Quantification of carotid plaque elasticity and intraplaque neovascularization using contrast-enhanced ultrasound and image registration-based elastography. Ultrasonics, 2015, 62, 253–262.

42. Jun Shi, Xiao Liu, Yan Li, Qi Zhang, Yingjie Li, Shihui Ying: Multi-channel EEG based sleep stage classification with joint collaborative representation and multiple kernel learning. Journal of Neuroscience Methods, 2015, 354, 94–101.

43. Jun Shi, Qikun Jiang, Qi Zhang, Qinghua Huang, Xuelong Li: Sparse kernel entropy component analysis for dimensionality reduction of biomedical data. Neurocomputing, 2015, 168, 930–940.

44. Qi Zhang, C. Li, H. Han, L. Yang, Y. Wang, W. Wang: Computer-aided quantification of contrast agent spatial distribution within atherosclerotic plaque in contrast-enhanced ultrasound image sequences, Biomedical Signal Processing and Control, 2014, 13, 50-61.

45. Qi Zhang, Hong Han, Chunhong Ji, Jinhua Yu, Yuanyuan Wang, Wenping Wang: Gabor-based anisotropic diffusion for speckle noise reduction in medical ultrasonography, Journal of the Optical Society of America A, 2014, 31(6), 1273-1283.

46. Qi Zhang, D. Steinman, M. Friedman: Use of factor analysis to characterize arterial geometry and predict hemodynamic risk: application to the human carotid bifurcation, Journal of Biomechanical Engineering - ASME, 2010, 132(11): 114505 (1-5).

47. Qi Zhang, Y. Wang, W. Wang, et al: Automatic segmentation of calcifications in intravascular ultrasound images using snakes and the contourlet transform, Ultrasound in Medicine and Biology, 2010, 36(1): 111-129.

Conference Proceedings and Abstracts:

48. Haohao Xu, Zhuangwei Xu, Wenting Gu, Qi Zhang*. A Two-Stage Fully Automatic Segmentation Scheme Using Both 2D and 3D U-Net for Multi-sequence Cardiac MR. In: Pop M. et al. (eds) Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, MICCAI Challenges 2019 (also STACOM 2019). Lecture Notes in Computer Science, vol 12009. Springer, Cham, 2020, 309-316.

49. Haohao Xu, Qi Zhang*, Huaipeng Dong, Xiyuan Jiang, Jun Shi. Speckle Suppression of Ultrasonography Using Maximum Likelihood Estimation and Weighted Nuclear Norm Minimization. The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS). July 2018, Honolulu, USA.

50. Jun Shi, Minjun Yan, Yun Dong, Xiao Zheng, Qi Zhang, Hedi An. Multiple kernel learning based classification of Parkinson’s disease with multi-modal transcranial sonography. The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS). July 2018, Honolulu, USA.

51. Xiao Zheng, Jun Shi, Yan Li, Xiao Liu, Qi Zhang. Multi-modality stacked deep polynomial network based feature learning for Alzheimer’s disease diagnosis. 2016 IEEE International Symposium on Biomedical Imaging (ISBI). April 2016, Prague, Czech, 851 - 854.

52. Jinjie Wu, Jun Shi, Yan Li, Jingfeng Suo, Qi Zhang. Histopathological image classification using random binary hashing based PCANet and bilinear classifier. The 2016 European Signal Processing Conference (EUSIPCO), Aug. 2016, Budapest, Hungary, 2050-2054.

53. Congcong Yuan, Lei Tang, Qi Zhang, Wanru Jia, Man Chen. Contrast-enhanced ultrasound for evaluating the response of breast cancer to neoadjuvant chemotherapy: Time-intensity curve analysis and texture analysis. The European Society for Medical Oncology (ESMO) Annual Congress, Oct. 2016, Copenhagen, Denmark.

54. Xiao Liu, Jun Shi, Qi Zhang: Tumor classification by deep polynomial network and multiple kernel learning on small ultrasound image dataset. The 6th international workshop on machine learning in medical imaging in the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-MLMI), Oct. 2015, Munich, Germany. 313-320.

55. Qi Zhang, Xiyuan Jiang, Wei Dai, Haiwu Zhao, Chunying Xu: Speckle suppression of ultrasonic images using non-local means and McIlhagga-based anisotropic diffusion, 2014 7th International Congress on Image and Signal Processing, Oct. 2014, Dalian, China, 242-247.

56. Qi Zhang, Moli Zhou, Yun Dong, Ming Qian, Ming Chen: Detection of blood flow in left ventricle by echocardiography using speckle image velocimetry, 2014 7th International Congress on Image and Signal Processing, Oct. 2014, Dalian, China, 179-183.

57. Q. Zhang, L. Yang, S. Chen: McIlhagga edge detector-based anisotropic diffusion for speckle reduction of ultrasound images, 2013 IET/IEEE Second International Conference on Smart and Sustainable City, August 2013, Shanghai, China, 437-441.

58. Q. Zhang, C. Huang,, C. Li, et al: Ultrasound image segmentation based on multi-scale fuzzy c-means and particle swarm optimization, 2012 IET International Conference on Information Science and Control Engineering, Dec. 2012, Shenzhen, China. 421-425.

59. Q. Zhang, L. Yang, C. Li, and W. Wang: Contrast-enhanced ultrasound image segmentation of atherosclerotic plaques using spatial-temporal analysis and snakes, the 2012 International Conference on Systems and Informatics, May 2012, Yantai, China. 1906-1910.

60. Q. Zhang, Y. Wang,, J. Ma, and J. Shi: Contour Detection of Atherosclerotic Plaques in IVUS Images Using Ellipse Template Matching and Particle Swarm Optimization, the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), August 2011, Boston, MA, USA. 5174-5177.

61. J. Zhong, J. Shi, Y. Cai, and Q. Zhang: Recognition of Hand Motions via Surface EMG Signal with Rough Entropy, the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), August 2011, Boston, MA, USA. 4100-4103.

62. Q. Zhang, S. Teo, Y. Wang, and M.H. Friedman: Computerized image analysis as a tool to investigate the relationship between endothelial morphology and permeability, the 22nd IEEE International Symposium on Computer-Based Medical Systems, August 2009, Albuquerque, USA, 1-7.

63. Q. Zhang, D. Steinman, M.H. Friedman: Prediction of disturbed flow by factor analysis of carotid bifurcation geometry, Summer Bioengineering Conference, June 2009, Lake Tahoe, USA, 1-2.

64. Q. Zhang, Y. Wang, J. Yu, and S. Yang: Multimodal medical image registration using geometric flow and Gabor filter, the IASTED International Conference on Biomedical Engineering, February 2008, Innsbruck, Austria, 441-446.

65. Q. Zhang, Y. Wang, W. Wang, et al: Discrimination of coronary microcirculatory dysfunction based on generalized relevance LVQ, Lecture Notes in Computer Science, 2007, 4492: 1125-1132.

66. Q. Zhang, Y. Wang, W. Wang, et al: Contour extraction from IVUS images based on GVF snakes and wavelet transform, IEEE/ICME International Conference on Complex Medical Engineering, May 2007, Beijing, China, 536-541.

Professional   Societies  

Shanghai   Key Laboratory of Artificial Intelligence for Medical Image and Knowledge Graph (Academic Committee)

Chinese   Association for Biomedical Engineering (Youth Committee)

Chinese   Association for Scientific Instrument   (Youth Committee)

Shanghai   Society of Biomedical Engineers (Ultrasonic Medical Engineering Committee)

Chinese   Association for Ultrasonic Medical Engineering (member)

Chinese   Society of Biomedical Engineers (member)