Professor Department of Computer Science and Engineering   Research Group

Jimmy Liu graduated from the Department of Computer Science of the University of Science and Technology of China in 1988. He further obtained his master and doctoral degrees in Computer Science from the National University of Singapore. In 2007, he started the Intelligent Medical Imaging Research Team (iMED Singapore, A*STAR) and grew it to become one of the world's largest ophthalmic medical image processing team, focusing on ophthalmic Artificial Intelligence research. Jimmy was the chairman of the IEEE Singapore Biomedical Engineering Society in Singapore.

In March 2016, Jimmy returned to China and founded the iMED China (Ningbo) team. He was the founding director and senior professor of the Cixi Institute of Biomedical Engineering (CIBE) of the Chinese Academy of Sciences.

In February 2019, he joined the Department of Computer Science and Engineering of the Southern University of Science and Technology to establish iMED China(Shenzhe). .He will devote his time to more fundamental eye-brain, Artificial Intelligence, precision medicine, surgical robotics research.

Personal Profile

Jimmy LIU, Prof.

Email:liuj_AT_sustech.edu.cn
Office:Room 403,Building 10 Innovation Park
Research Area: Ocular (eye) Imaging Artificial Intelligence;Eye-Brain; Medical imaging analysis;Precise Medical;Surgical robots

Educational Background

◆ 1999/05-2004/04, National University of Singapore, computer science department, PhD
◆ 1991/02-1992/11, National University of Singapore, Computer science department, M.S.
◆ 1983/08-1988/07, University of Science and Technology of China, Computer science department, B.S.

 

Professional Experience

◆ 2019/02-NOW,Department of Computer Science and Engineering, Southern University of Science and Technology,Professor
◆ 2016/03-2019/01,Cixi institute of Biomedical Engineering of CAS,Director/Senior Professor
◆ 2007/01-2016/03,Intelligent Medical Imaging Department,Institute of infocomm research, A*STAR, Senior Scientist/Director/Director consultant
◆ 2004/07-2006/12,National University of Singapore,School of Computing,Research Fellow
◆ 1989/09-2004/06,Singapore state-owned/multinational corporation,Engineer/Manager/Technical Director
◆ 1988/09-1989/08,Institute of Automation, Chinese Academy of Sciences,Assistant Engineer

 

Honors & Awards

◆ National Distinguished Scholar
◆ Chief Scientist, National Eye Research Center, Singapore (Adjunct)
◆ IES Prestigious Engineering Achievement, Singapore,2013
◆ ASEAN Graphical System Design Achievement,Singapore,2011

 

Selected Publication

(1) Huazhu Fu*, Yanwu Xu*, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung and Jiang Liu. Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network[J]. IEEE Transactions on Cybernetics,2019(accepted)
(2) Yitian Zhao, Yalin Zheng, Yonghuai Liu, Yifan Zhao, Lingling Luo, Siyuan Yang, Tong Na, Yongtian Wang, Jiang Liu, Automatic 2D/3D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter, IEEE Transactions on Medical Imaging, 37(2): 438-450, 2018
(3) H. Fu, Jun Cheng, Y. Xu, D. W. K. Wong, J. Liu and X. Cao, Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation, IEEE Transactions on Medical Imaging, vol. 37, no 7, pp. 1597-1605, 2018.
(4) H. Fu, Jun Cheng, Y. Xu, C. Zhang, D. W. K.Wong, J. Liu, X. Cao, "Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image", IEEE Transactions on Medical Imaging, vol. 37, no. 11, pp. 2493-2501, 2018 .
(5) Jun Cheng, Z. Li, Z. Gu, H. Fu, D. W. K. Wong, J. Liu,"Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis", IEEE Transactions on Medical Imaging, vol. 37, no. 11, pp. 2536-2546, 2018.
(6) Yitian Zhao, Yalin Zheng, Zhili Chen, Peng Liu, Yifan Zhao, Jiang Liu, Uniqueness-Driven Saliency Analysis For Automated Abnormalities Detection with Application to Retinal Diseases, Proceedings of MICCAI, pp. 109-118, Granada, Spain, September, 2018.
(7) Yitian Zhao, JianyangXie, Yalin Zheng, Yonghuai Liu, Pan Su, Yifan Zhao, Jun Cheng, Jiang Liu, Retinal Artery and Vein Classification via Dominant Sets Clustering-based Vascular Topology Estimation, Proceedings of MICCAI, pp. 56-64, Granada, Spain, September, 2018.
(8) Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Baskaran Mani, Meenakshi Mahesh, Tin Aung, Jiang Liu, "Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT", Proceedings of MICCAI, pp. 356-363, 2018.
(9) Yifan Zhao, Ramon Laguna, Yitian Zhao, John Yianni, PtolemaiosSarrigiannis, Jimmy Liu Jiang and Xiong-xiong He, A wavelet-based correlation analysis framework to study cerebro-muscular activity in essential tremor, Complexity, 7269494, 2018.
(10) Chang-Tong Yang, Krishna K Ghosh, Parasuraman Padmanabhan, Oliver Langer, Jiang Liu, Christer Halldin, BalázsGulyás. “PET-MR and SPECT-MR multimodality Probes: Development and Challenges “, Theranostics, 2018, in press

Research

人工智能:开发基于医学图像/眼科影像的自动人工智能疾病诊断算法及技术,实现自动化低成本高精准度眼科疾病筛查

精准医疗:通过与国内外医院广泛合作,收集病人基因及医学图像数据,开发基于人体基因、医学图像和大数据处理的精准医疗算法及技术

眼脑联动:结合眼图像及信号与脑图像及信号,对眼部或脑部进行刺激和反馈,实现对眼疾病和脑疾病的诊断及干预(例如青光眼与阿尔兹海默病)

手术机器人:开发基于医学图像/眼科影像和医疗机器人的自动医学手术引导,辅助算法及技术


Teaching

Introduction To AI

This course provides an introduction to artificial intelligence (AI). Topics talked will help students to achieve the following 3 main objectives:

1) Highlight fundamental AI concepts: including agent, knowledge, search, game theory, reasoning, planning, learning, and importantly biological and psychological foundations behind AI development.

2) Introduce the current data driven deep learning AI models, algorithms and platforms: including the development of deep neural network and various popular deep learning network structures and development platforms.

3) Inspire student’s interest in AI: In order to encourage students to engage AI in their future careers and study, various AI applications will be introduced and discussed. Students are asked to work on AI application projects, group project presentation will be graded.

CS330. Multimedia Information Processing

Lecture, 2 hours per week. Experiment, 2 hours per week, total of 64 hours,3 credits,. Pre-requesites: Computer Science and Technology and Intelligent Science and Technology. This course introduces the concepts, issues, design, implementation, standards and applications of multimedia technologies. The media to be considered include text, digital audio, digital image, digital video, and their integration. The course covers basics and applications of analog and digital media. It discusses the characteristics, mathematical foundation, compression and processing of digital multimedia data including: audio, image (JPEG) and video (MPEG). It also covers standards in digital multimedia data such as MP3, JPEG, MPEG as well as the environment in which digital multimedia data are used, including multimedia architecture, indexing and retrieval, hypermedia and WWW.


Publications Read More

刘江主持过总值超过1亿2千万元的20余项新加坡和中国科研项目,在IEEE-TMI、JIAMA、CVPR、MICCAI等行业顶级国际期刊和会议发表280余篇,申请了50多项国际和国内专利,国际企业专利授权十余项。连续10年刷新基于杯盘比的青光眼人工制智能诊断世界纪录。

News More

  • iMED深圳2019年年会

    刘江老师于2019年初在南方科技大学组建iMED深圳实验室,经过近一年的努力,已形成相对完备的研究体系,为实验室的师生们提供了广阔的研究平台。1月13日,iMED深圳组织聚餐并召开年会,总结2019年展望2020年,为2019年鼓掌为2020年加油。 作者:方建生

    2020-01-13
  • 知名学者Alex教授来访

    Professor Alejandro F Frangi 是计算医学、大健康数据分析等医学领域的知名学者,现负责英国利兹大学的生物医学计算成像和模拟技术中心(CISTIB)。Alex教授于1月11日到访深圳,与刘江老师等人就医学影像领域的研究热点进行了探讨。 作者:方建生

    2020-01-12
  • 香港中文大学王平安教授来访

    2020年1月6日,应刘江老师的邀请,香港中文大学王平安教授来访iMED深圳,并为南方科技大学的师生们分享关于《虚拟现实和人工智能在医学中的应用》的报告。 作者:方建生

    2020-01-07

Lab members Read More

Join us

招聘博士生/博士后/研究助理教授

南方科技大学智能医学影像团队——iMED中国(深圳)是由国家“千人计划”专家刘江教授领导的专注于眼科医学人工智能的科研团队。团队拥有独家的医疗大数据资源,充足的科研经费,同国际国内著名医院及设备厂家深入合作,是一支国际领先的医疗人工智能团队。

由于行业的快速发展及不断更新,希望加入团队的人员有以下3点特质:

(1)喜爱医学人工智能及医疗行业,希望在此行业长期发展;

(2)有强烈的团队精神,对团队内成员谦虚谦让,对团队外合作伙伴真诚尊重;

(3)有持续的学习能力(包括对交叉相关学科包括医学知识的学习能力)。

1、研究方向

1,基于眼科图像的人工智能研究

2,基于眼脑多模态图像眼脑联动疾病诊断研究

3,基于基因/病理/图像联合分析的精准医疗研究

4,基于医学影像的辅助手术机器人研究

2、招聘人数

(1)硕士或博士研究生若干

(2)博士后:4名

(3)研究助理教授:4名

3、招聘条件

(1)具有理学/工学/医学博士学位(研究生招生除外);

(2)工作严谨、主动,具备高度的工作责任心和良好的团队精神及职业素养;

(3)良好的科研背景和经验,高质量文章发表记录;

满足以下条件之一优先:

(4)有Python/MATLAB等编程经验,可以从事计算机图像处理机器学习/深度学习/模式识别/计算机视觉/人工智能算法开发;

(5)手术导航系统及手术机器人研究开发经验;

(6)眼科或脑神经科等医学图像处理研究经验。

4、需提交的申请材料:

(1)本人学习证明和工作简历及联系方式;

(2)其它能证明个人专长或能力的材料。

5、相关待遇:

博士后:年薪30万

研究助理教授:年薪30-45万

6、工作地点:

深圳市南方科技大学

7、单位联系方式:

王老师 wangh8@mail.sustech.edu.cn

团队负责人简介:http://faculty.sustech.edu.cn/?cat=29&tagid=liuj

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Contact Us

Contact Address

Room 403, Block 10, Innovation Valley, 1088 Xueyuan Avenue, Shenzhen 518055, P.R. China

Office Phone

075588015223

Email

wangh8@mail.sustech.edu.cn

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