夏勇


的个人主页 http://teacher.nwpu.edu.cn/yongxia

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基本信息 The basic information

夏勇

计算机学院

博士研究生毕业

工学博士

教授

计算机科学与技术

综合介绍 General Introduction

夏勇,男,西北工业大学教授、博导,1997年考入西北工业大学教育实验学院,分别于2001、2004和2007年从西北工业大学计算机学院获得学士、硕士和博士学位;2007年1月加入悉尼大学信息技术学院生物医学与多媒体技术(BMIT)实验室进行博士后研究,2013年底回到西北工业大学计算机学院开展医学影像大数据分析、计算机辅助诊断和深度学习等领域的教学和科研工作,现为空天地海一体化大数据应用技术国家工程实验室成员;主持国家自然基金面上项目两项,发表学术论文130余篇(近40篇发表IEEE-TIP、IEEE-TMI、IEEE-JBHI和MedIA等一区二区期刊上),先后获得了国防科学技术奖三等奖、中国计算机学会优秀博士论文奖和全国优秀博士学位论文提名;现为CCF青工委委员、中国图象图形学学会视觉大数据专委会常委、中国生物医学工程学会青委会委员和中国体视学学会图像分析分会常委、MICS指导委员会委员和VALSE执行领域主席之一;先后担任ACM MM2018、ISBI 2017和多个MICCAI Workshop的TCP或Session Chair,并长期担任IEEE-TMI、IEEE-TIP、MedIA和MICCAI等多个顶级学术期刊和会议审稿人。

招生信息 Admission Information

诚挚邀请热爱医学影像分析、计算机辅助诊断、图像处理、模式识别和机器学习等相关领域研究的青年学子报考/申请硕士、博士和博士后!秉持“Train the research leaders of the next generation to the highest international standard”的理念,将为各位莘莘学子提供耐心的指导、全面的科研训练、一流的软硬件科研环境、热烈而开放的学术氛围和与国内外一流科研团队交流合作的机会。近三年,有12位硕博士研究生先后赴澳大利亚悉尼大学、阿德莱德大学、维多利亚大学、美国北卡罗来纳大学、加拿大西安大略大学和比利时布鲁塞尔自由大学进行联合培养;近两年,有三名硕博士学生获得国家奖学金;每一届硕士毕业生中均有人获西北工业大学优秀硕士论文。

教育经历 Education Experience

· 2003年-2007年:博士 (西北工业大学计算机学院/计算机科学与技术专业)

              2004年11月–06年1月:访问研修/悉尼大学信息技术学院

· 2001年-2004年:工学硕士(西北工业大学计算机学院/计算机应用技术专业)

              2003年5月–11月:访问研修/香港理工大学电子资讯工程系

· 1997年-2001年:工学学士(西北工业大学实验班和计算机学院/计算机及其应用专业)

工作经历 Work Experience

· 2013年12月–今:教授/西北工业大学计算机学院

· 2007年1月–13年12月:博士后/悉尼大学信息技术学院BMIT实验室

社会兼职 Social Appointments

中国计算机学会(CCF)青工委委员、计算机视觉专委会委员

中国图象图形学学会(CSIG)视觉大数据专委会常委、成像探测与感知专委会委员

中国自动化学会(CAA)混合智能专委会委员

中国生物医学工程学会第九届青委会委员

中国体视学学会(CSS)图像分析分会常委

医学图像计算青年研讨会(MICS)指导委员会 委员

视觉与学习青年学者研讨会(VALSE)第四届执行领域主席之一

陕西省图象图形学学会理事

陕西省信号处理学会常委

陕西省生物医学工程学会理事

陕西省抗癌协会肿瘤影像专业委员会青年委员会常委、智慧医疗组指导委员会主任委员

陕西省外专局引智专家咨询委员会委员

荣誉获奖 Awards Information


2018年 学生谢雨彤的论文获第七届陕西省抗癌协会科技奖优秀论文二等奖

2018年 学生吴轶成的论文获“2018上海交通大学-悉尼大学 ? 转化医学研究对话”Best Research Presentation奖

2018年 入选西北工业大学“翱翔青年学者”

2018年 学生李娜的硕士论文《基于情感的图像分类技术研究》获西北工业大学优秀硕士学位论文

2017年 学生李哲的硕士论文《仿生智能计算技术及其在医学图像分割中的应用研究》获西北工业大学优秀硕士学位论文

2015年 西北工业大学优秀青年教师奖(吴亚军奖)一等奖

2014年 入选西北工业大学“翱翔青年学者”

2010年 中国优秀博士学位论文提名奖

2010年 陕西省优秀博士学位论文奖

2007年 中国计算机学会优秀博士论文奖

2006年 国防科工委“国防科学技术奖”三等奖

2001年 全美大学生数学建模竞赛(ICM)一等奖

2000年 全国大学生数学建模竞赛(CSIAM)一等奖

教育教学 Education And Teaching

主讲本科生课程:U10M12021《数字图像处理(英)》

主讲本科生课程:U10M11109《研究方法》

主讲研究生课程:M10M2201066《Artificial Neural Network and Its Application》

参与讲授本科生课程:U10M11034《数字图像处理》

参与讲授本科生课程:U10M11118《计算机视觉中的深度学习》

参与讲授本科生课程:U10M71087《计算机科学与技术学科前沿II》 

科学研究 Scientific Research

老年痴呆症和神经退化性疾病的计算机辅助诊断技术

神经胶质瘤计算机辅助诊断、肿瘤区域勾画和预后预测技术

肺癌、宫颈癌和乳腺癌的筛查技术

肝癌、胰腺癌、前列腺癌和皮肤癌的计算机辅助诊断技术

糖尿病视网膜病变计算机辅助诊断技术

X光胸片和病理图像的计算机辅助分析技术

医学临床数据挖掘技术研究

学术成果 Academic Achievements

部分期刊论文

1. Yongsheng Pan, Yong Xia*, Dinggang Shen*, “Sufficient Fisher Vector: Make Fisher Vector More Powerful,” IEEE Transactions on Image Processing, accepted on March 18, 2019. (二区,IF=5.071)

2. Jianpeng Zhang, Yong Xia*, Yutong Xie, and Chunhua Shen, “Attention Residual Learning for Skin Lesion Classification,” IEEE Transactions on Medical Imaging, published online, Jan. 21, 2019. (一区,IF=6.131)

3. Yutong Xie, Yong Xia*, Jinapeng Zhang, Yang Song, Dagan Feng, Michael Fulham, and Weidong Cai, “Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT,” IEEE Transactions on Medical Imaging, published online, Oct. 17, 2018. (一区,IF=6.131) 

4. Jie Wei, and Yong Xia*, “M3Net: A Multi-Model, Multi-Size, and Multi-View Deep Neural Network for Brain Magnetic Resonance Image Segmentation,” Pattern Recognition, vol. 91, pp. 336-378, 2019. (二区,IF=3.962)

5. Jianpeng Zhang, Yutong Xie, Qi Wu, and Yong Xia*, “Medical Image Classification Using Synergic Deep Learning”, Medical Image Analysis, vol. 54, pp. 10-19, May 2019. (一区,IF=5.356)

6. Xuan Liu?, Na Li?, and Yong Xia*, “Affective Image Classification by Jointly Using Interpretable Art Features and Learned Semantic Annotations,” Journal of Visual Communication and Image Representation, vol. 58, pp. 576-588, Jan. 2019. (三区, IF=1.836)

7. Ya Gao?, Qinfen Wang?, Jiamei Li, Jingjing Zhang, Ruohan Li, Lun Sun, Qi Guo, Yong Xia*, Bangjiang Fang, and Gang Wang*, "Impact of Mean Arterial Pressure Fluctuation on Mortality in Critically Ill Patients," Critical Care Medicine, vol. 46, issue 12, pp. E1167-E1174, Dec., 2018. (一区,IF=6.630)

8. Na Li and Yong Xia*, “Affective Image Classification via Semi-supervised Learning form Web Images,” Multimedia Tools and Applications, vol. 77, issue 23, pp. 30633–30650, Dec. 2018. (三区,IF=1.541) 

9. Hengfei Cui, Yong Xia*, Yanning Zhang, and Liang Zhong, “Validation of right coronary artery lumen area from cardiac computed tomography against intravascular ultrasound,” Machine Vision and Applications, vol. 29, issue 8, pp. 1287–1298, Nov. 2018. (三区,IF=1.306)

10. Yongsheng Pan, Yong Xia*, Yang Song, and Weidong Cai, “Locality Constrained Encoding of Frequency and Spatial Information for Image Classification,” Multimedia Tools and Applications, vol. 77, issue 19, pp. 24891–24907, Oct. 2018. (三区,IF=1.541)

11. Jianpeng Zhang, Yong Xia*, Yutong Xie, Michael Fulham, and David Dagan Feng, "Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features," IEEE Journal of Biomedical and Health Informatics, vol. 22, issue 5, pp. 1521–1530, Sep. 2018. (二区,IF=3.850)

12. Junjie Zhang, Yong Xia*, Haoyue Zeng, and Yanning Zhang, “NODULe: Combining Constrained Multi-Scale LoG Filters with Densely Dilated 3D Deep Convolutional Neural Network for Pulmonary Nodule Detection,” Neurocomputing, vol. 317, pp. 159–167, Sep., 2018. (二区,IF=3.241)

13. Yutong Xie, Yong Xia*, Jianpeng Zhang, Michael Fulham, and Yanning Zhang, “Fusing Texture, Shape and Deep Model-Learned Information at Decision Level for Automated Classification of Lung Nodules on Chest CT,” Information Fusion, vol. 42, pp. 102-110, Jul. 2018. (一区,IF=6.639)

14. Junjie Zhang, Yong Xia*, Hengfei Cui, and Yanning Zhang, “Pulmonary nodule detection in medical images: A survey”, Biomedical Signal Processing and Control, vol. 43, pp. 138-147, May 2018. (三区,IF=2.783)

15. Haozhe Jia, Yong Xia*, Yang Song, Weidong Cai, Michael Fulham, and David Dagan Feng, “Atlas Registration and Ensemble Deep Convolutional Neural Network-based Prostate Segmentation Using Magnetic Resonance Imaging,” Neurocomputing, vol. 275, pp. 1358-1369, Jan., 2018. (二区,IF=3.241)

16. Zhe Li, Yong Xia*, Zexuan Ji, and Yanning Zhang, "Brain Voxel Classification in Magnetic Resonance Images Using Niche Differential Evolution Based Bayesian Inference of Variational Mixture of Gaussians," Neurocomputing, vol. 269, pp. 47-57, Dec 20, 2017. (二区, IF=3.241)

17. Zexuan Ji*, Yong Xia*, and Yuhui Zheng, "Robust generative asymmetric GMM for brain MR image segmentation", Computer Methods and Programs in Biomedicine, vol. 151, pp. 123-138, Nov 2017. (二区,IF=2.674)

18. Yongsheng Pan, Yong Xia*, Tao Zhou, and Michael Fulham, "Cell Image Segmentation Using Bacterial Foraging Optimization," Applied Soft Computing, vol. 58, pp. 770-782, Sep 2017. (二区, IF=3.907)

19. Benteng Ma and Yong Xia*, "A Tribe Competition-Based Genetic Algorithm for Feature Selection in Pattern Classification," Applied Soft Computing, vol. 58, pp. 328-338, Sep 2017. (二区, IF=3.907)

20. Shen Lu, Yong Xia*, Weidong Cai*, David Dagan Feng, and Michael Fulham, “Early Identification of Mild Cognitive Impairment Using Incomplete Random Forest-Robust Support Vector Machine and FDG-PET Imaging,” Computerized Medical Imaging and Graphics, vol. 60, pp. 35-41, Sep 2017. (四区, IF=2.435)

21. Pei Dong, Shanshan Wang*, Yong Xia, Dong Liang, and David Dagan Feng, “Foreground Detection with Simultaneous Dictionary Learning and Historical Pixel Maintenance,” IEEE Transactions on Image Processing, vol. 25, issue 11, pp. 5035-5049, Nov. 2016. (二区, IF=5.072)

22. Chuanchuan Zheng, Yong Xia*, Yongsheng Pan, and Jinhu Chen*, “Automated Identification of Dementia Using Medical Imaging: A Survey from a Pattern Classification Perspective,” Brain Informatics, vol. 3, issue 1, pp. 17-27, Mar. 2016.

23. Zexuan Ji*, Yong Xia*, Quansen Sun, Guo Cao, and Qiang Chen, "Active Contours Driven by Local Likelihood Image Fitting Energy for Image Segmentation", Information Sciences, vol. 301, pp. 285-304, Apr. 2015. (一区, IF= 4.305)

24. Zexuan Ji, Yong Xia*, Quansen Sun, and Guo Cao, “Interval-valued possibilistic fuzzy C-means clustering algorithm”, Fuzzy Sets and Systems, vol. 253, pp. 138-156, Oct. 2014. (一区, IF=2.675)

25. Shanshan Wang*, Yong Xia, Pei Dong, Qiegen Liu, and David Dagan Feng, “Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images” IEEE Transactions on Image Processing, vol. 22, issue 12, pp. 5214 – 5225, Dec. 2013. (二区, IF=5.071)

26. Shanshan Wang*, Qiegen Liu, Yong Xia, Pei Dong, Jianhua Luo, Qiu Huang, and David Dagan Feng, “Dictionary learning based impulse noise removal via L1-L1 minimization” Signal Processing, vol. 93, issue 9, pp. 2696–2708, Sep. 2013. (二区, IF=3.470) 

27. Zexuan Ji*, Quansen Sun, Yong Xia, Qiang Chen, Deshen Xia, and Dagan Feng, “Generalized rough fuzzy c-means algorithm for brain MR image segmentation”, Computer Methods and Programs in Biomedicine, vol. 108, issue 2, pp. 644-655, Nov. 2012. (二区, IF=2.674)

28. Shanshan Wang*, Yong Xia, Qiegen Liu, Jianhua Luo*, Yuemin Zhu, and David Dagan Feng, “Gabor feature based nonlocal means filter for textured image denoising,” Journal of Visual Communication and Image Representation, vol. 23, issue 7, pp. 1008-18, Oct. 2012 (三区, IF=1.836)

29. Zexuan Ji*, Yong Xia, Quansen Sun, Qiang Chen, Deshen Xia, and David Dagan Feng, “Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation”, IEEE Transactions on Information Technology in Biomedicine, vol. 16, issue 3, pp. 339-347, May 2012. (二区, IF=3.850)

30. Yong Xia*, Stefan Eberl, Lingfeng Wen, Michael Fulham, and David Dagan Feng, “Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information,” Computerized Medical Imaging and Graphics, vol. 36, issue 1, pp. 47-53, Jan. 2012. (四区, IF=2.435)

31. Guangjian Tian*, Yong Xia, Yanning Zhang, and David Dagan Feng, "Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation," IEEE Transactions on Information Technology in BioMedicine, vol. 15, issue 3, pp. 373-380, May 2011. (二区, IF=3.850)

32. Yong Xia*, David Dagan Feng, Tianjiao Wang, Rongchun Zhao, and Yanning Zhang, “Image segmentation by clustering of spatial patterns”, Pattern Recognition Letters, vol. 28, issue 12, pp. 1548-1555, 2007. (三区, IF=1.954)

33. Yong Xia*, David Dagan Feng, and Rongchun Zhao, “Adaptive Segmentation of Textured Images by Using the Coupled Markov Random Field Model”, IEEE Transactions on Image Processing, vol. 15, issue 11, pp. 3559-3566, 2006. (二区, IF=5.071)

34. Yong Xia*, David Dagan Feng, and Rongchun Zhao, “Morphology-based multifractal estimation for texture segmentation”, IEEE Transactions on Image Processing, vol. 15, issue 3, pp. 614-623, 2006. (二区, IF=5.071)


部分会议论文

1. Yongsheng Pan, Mingxia Liu*, Chunfeng Lian, Ling Yue, Shifu Xiao, Yong Xia*, Dinggang Shen*, “Charactering MRI Biomarkers for Conversion Prediction of Preclinical Alzheimer's Disease”, ISMRM 2018.

2. Yan Hu, Xiang Liu, Xin Wen, Chen Niu, and Yong Xia*, "Brain Tumor Segmentation on Multimodal MRI Using Multi-Level Upsampling in Decoder," MICCAI 2018 Workshop on Brainlesion.

3. Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia*, and Dinggang Shen, “Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis,” MICCAI 2018.

4. Jianpeng Zhang, Yutong Xie, Qi Wu, and Yong Xia*, “Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning,” MICCAI 2018.

5. Yicheng Wu, Yong Xia*, Yang Song, Yanning Zhang, and Weidong Cai “Multiscale Network Followed Network Model for Retinal Vessel Segmentation,” MICCAI 2018.

6. Donghao Zhang*, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, and Weidong Cai, “Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis”, MICCAI 2018.

7. Shen Lu*, Yong Xia, Weidong Cai, Dagan Feng, and Michael Fulham, “Cross-Cohort Dementia Identification Using Transfer Learning With FDG-PET Imaging,” ISBI 2018.

8. Yan Hu, and Yong Xia*, "3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences," MICCAI 2017 Workshop on Brainlesion. 

9. Hao Wang, Yong Xia*, and Zhiyong Wang, “Dictionary Learning-Based Image Compression,” ICIP 2017.

10. Jie Wei and Yong Xia*, “Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images,” MICCAI 2017 Workshop on DLMIA.

11. Yutong Xie, Yong Xia*, Jianpeng Zhang, Weidong Cai, Michael Fulham and David Dagan Feng, “Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT,” MICCAI 2017. 

12. Haozhe Jia, Yong Xia*, Weidong Cai, Michael Fulham, and David Dagan Feng, “Prostate Segmentation in MR Images Using Ensemble Deep Convolutional Neural Networks,” ISBI 2017.

13. Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, and Yong Xia*, "Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features," MICCAI 2016 Workshop on MCV.

14. Na Li and Yong Xia*, "Semi-Supervised Emotional Classification of Clolor Images By Learning From Cloud,” ACII 2015.

学术活动 Professional Activities

参与学术评审

担任国家科学技术奖网络评委(2018年)

担任国家重点研发计划重点专项评委(2018)

担任安徽省自然科学基金项目评委(2018)

担任博士论文评阅人:南非Cape Peninsula 科技大学

担任科研项目评审:英国Tenovus the Cancer Charity基金会 

参与组织国际会议
Program Chair, 2015 International Workshop on Biomedical Multimedia Computing (BMC 2015)

Program Chair, 2016 International Workshop on Biomedical Multimedia Computing (BMC 2016)

Program Chair, 2017 International Workshop on Biomedical Multimedia Computing (BMC 2017)

Program Chair, 2016 International Workshop on Multidisciplinary Convergence Computing (IW-MCC 2016)

Program Chair, 2017 International Workshop on Multidisciplinary Convergence Computing (IW-MCC 2017) 

Organizing Chair, 2018 Chinese Conference on Multimedia (ChinaMM2018) 

Special Issue Chair, 2018 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2018) 

Session Chair: 2017 IEEE International Symposium on Biomedical Imaging (ISBI 2017)

Session Chair: 2015 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2015)

Session Chair: The 2nd IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP 2014) 

Co-organizer, Special Session on High-dimensional and Deep Representation Methods for Information Fusion at Fusion 2017

Co-organizer,  ISBI 2017 Tutorial on Biomedical Texture Analysis  

Lead Guest Editor, Special Issue on Machine Learning in Multimodal Medical Imaging in the BioMed Research International

Lead Guest Editor, Special Issue on Computation Methods for Biomedical Information Analysis in the Journal of Healthcare Engineering

TCP Member: The 16th International Symposium on Neural Networks (ISNN 2019)

TCP Member: 2018 Conference Digital Image Computing: Techniques and Applications (DICTA 2018)

TCP Member: 2018 International Conference on Brain Informatics (BI 2018) 

TCP Member: 2018 ACM International Conference on Multimedia (ACM MM 2018) 

TCP Member: 2018 International Conferences on Brain Informatics (BIH 2018) 

TCP Member: MICCAI 2018 Workshop on Deep Learning in Medical Image Analysis (MICCAI-DLMIA 2018) 

TCP Member: MICCAI 2018 Workshop on Breast Image Analysis (MICCAI-BIA 2018) 

TCP Member: MICCAI 2017 Workshop on Deep Learning in Medical Image Analysis (MICCAI-DLMIA 2017)

TCP Member: 2017 International Conferences on Brain Informatics (BIH 2017)

MC  Member: 2017 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2017)

TCP Member: 2017 Asia-Pacific Services Computing Conference(APSCC 2017)

TCP Member: MICCAI 2016 Workshop on Medical Computer Vision (MICCAI-MCV2016)

TCP Member: 2016 International Conference on Brain Informatics and Health (BIH 2016)

TCP Member: 2016 International Conference on Orange Technologies (ICOT 2016)

TCP Member: 2016 Asia-Pacific Services Computing Conference(APSCC 2016)

TCP Member: MICCAI 2015 Workshop on Medical Computer Vision (MICCAI-MCV 2015)

TCP Member: 2015 International Conference on Orange Technologies (ICOT 2015)

TCP Member: 2014 International Conference on Orange Technologies (ICOT 2014)

TCP Member: 2014 Asia-Pacific Services Computing Conference (APSCC 2014)

TCP Member: 2011 International Conference on Image and Graphics (ICIG 2011)

担任学术期刊和会议审稿人

IEEE Transactions on Medical Imaging

IEEE Transactions on Image Processing

IEEE Transactions on Neural Networks and Learning Systems

IEEE Transactions on Neural Systems & Rehabilitation Engineering

IEEE Journal of Biomedical and Health Informatics

Medical Image Analysis

Pattern Recognition

Applied Soft Computing

Neurocomputing

2019 IEEE International Symposium on Biomedical Imaging (ISBI 2019) 

The 21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018) 
2018 MICCAI Workshop on Brain Tumor Segmentation (MICCAI-BraTS 2018)

2018 IEEE International Symposium on Biomedical Imaging (ISBI 2018) 

2018 IEEE International Conference on Multimedia and Expo (ICME 2018) 

2017 MICCAI Workshop on Brain Tumor Segmentation (MICCAI-BraTS 2017)

2017 IEEE International Conference on Multimedia and Expo (ICME 2017)

2017 IEEE International Symposium on Biomedical Imaging (ISBI2017)

2016 IEEE International Conference on Multimedia and Expo (ICME 2016)

2016 IEEE International Symposium on Biomedical Imaging (ISBI2016)

2015 IEEE International Symposium on Biomedical Imaging (ISBI2015)

部分学术报告

基于深度学习医学影像小数据分析(首届中国医学影像AI大会,上海,15-16/12/2018)

智能化医学影像分析中的深度学习(首届中国模式识别与计算机视觉学术会议,PRCV 2018,广州,23-26/11/2018)

医学影像小数据深度学习(18-34期VALSE Webinar,31/10/2018)

医学影像小数据深度学习(第二届图像计算与数字医学国际研讨会暨智能医学信息处理论坛,成都,13-15/10/2018)

基于深度学习的医学影像小数据分析2018中国医学人工智能大会暨首届人工智能雁栖高端论坛,北京,22-23/09/2018

智能化医学图像分析中的深度学习2018中国多媒体大会:多媒体与人工智能讲习班,西安,09/14/2018) 

医学影像深度学习(江苏省人工智能大会:医疗人工智能前沿进展论坛,南京,09/08/2018)

Medical Imaging + AI - Opportunities and Challenges(第二届智能医学研讨会,深圳,11/08/2018)

深度学习在小样本图像分析中的应用(第五期CSIG 图像图形学科前沿讲习班,清华大学,03/06/2018)  

深度学习在医学图像分割与分类中的应用(第一届全国医学人工智能名师讲坛,北京邮电大学,02/06/2018)  

医学影像分析和计算机辅助诊断中的深度学习技术(CCF-CV走进高校系列报告会第五十二期,东北大学,26/05/2018)  

深度学习在影像组学中的应用(第六届山东省肿瘤学术大会,济南,05/05/2018)

医学图像 + AI:机遇与挑战(陕西省信号处理学会第六届会员代表大会,西北工业大学,26/01/2018) 

深度卷积神经网络在医学图像分析中的应用(国家自然科学基金委《深度学习算法及其应用》天元讲习班,浙江大学,3/11/2017) 

面向医学影像分析的深度学习技术(中国计算机大会(CNCC2017)深度学习与医学影像论坛,福州,26/10/2017)

医学影像分析中的深度学习实践 (2017中国计算机视觉大会(CCCV 2017)医学影像分析论坛,天津,13/10/2017) 

深度学习在医学影像分析中的应用(2017图像计算与数字医学国际研讨会-深度学习讲习班,电子科技大学,25/09/2017)

医学影像分析中的深度学习实践(2017中国生物医学工程学会北戴河青年论坛,东北大学秦皇岛分校,06-07/08/2017)

深度学习在医学图像分割与分类中的应用(2017中国计算机学会人工智能会议医疗人工智能论坛,昆明,01/08/2017) 

Synergic Deep Learning for Medical Image Classification (第四届医学图像计算青年研讨会,上海交通大学,15-16/07/2016)

面向医学影像分析的小数据深度学习(2017 CMCC International Workshop on Multidisciplinary Convergence Computing: Medical Imaging, VR/AR and Big Data, 西北工业大学,22/05/2017)

Biomedical Image Processing, Analysis and Learning (2017 Biomedical & Multimedia Information Technology - Global Research Network (BMIT-GRN) Workshop, 上海交通大学, 25-26/05/2017)

基于深度学习医学影像分析(2017 CSIG成像探测与感知专委会成立大会暨第一届成像探测与感知前沿大会,西北工业大学, 21/05/2017)

深度学习在医学影像分析中的应用与挑战(中华医学会第七次全国数字医学学术年会,西安,29/04/2017)

Texture analysis for image-based computer-aided diagnosis (ISBI 2017 Tutorial on Biomedical Texture Analysis, Melbourne, 18/04/2017)

当人工智能碰撞医学影像分析(NVIDIA 2017  高性能计算碰撞人工智能巡展 – 西安站,西安,14/04/2017)

小样本图像分割技术(电子信息青年学者论坛,西安电子科技大学,13/11/2016)

深度学习在医学影像分析中的应用与挑战(“大数据的类脑计算与深度学习”国际研讨会,西安电子科技大学,16/10/2016)

深度学习在医学影像分析中的应用(生物医药组2016年研讨会,第四军医大学,30/06/2016)

深度学习在医学影像分析中的应用与挑战(CCF YOCSEF广州“医学数据处理前沿发展与挑战”学术论坛,华南理工大学,17/05/2016)

基于多标记学习的中医诊疗数据分析(中国科协第294次青年科学家论坛--中医药大数据的辨证模型构建研究,中国中医科学院,09/11/2015)

面向智能化医疗的医学影像分析技术(第六届CCF优秀博士学位论文获奖者论坛,中山大学,08/08/2015)

智能医学图像处理(“肿瘤图像大数据”学术研讨会,山东师范大学,28/05/2015)

面向智能化医疗的中医现代化研究(西北工业大学,20/10/2014)

Variational Bayesian Methods for Medical Image Segmentation(澳大利亚信息通信技术研究中心( NICTA)机器学习实验室,3/10/2013)