Panel Title: Intelligent Medical Imaging
Panel Discussion Format:
  • Each Panelist will first present 8 minutes on his/her intelligent medical imaging research work (48 minutes)
  • Moderator will ask a few common questions for the panelists to answer (30 minutes)
  • Open to the audience for more questions (12 minutes)
  • Each panelist will be asked to share a one-sentence remarks on intelligent medical imaging

  • Moderator:

    Prof. S Kevin Zhou

    University of Science & Technology of China

     

    Prof. S. Kevin Zhou is a distinguished professor and founding executive dean of School of Biomedical Engineering, Suzhou Institute for Advanced Research, University of Science and Technology of China (USTC) and an adjunct professor at Institute of Computing Technology, Chinese Academy of Sciences and Chinese University of Hong Kong (CUHK), Shenzhen. Prior to this, he was a principal expert and a senior R&D director at Siemens Healthcare Research. Dr. Zhou has published 260+ book chapters and peer-reviewed journal and conference papers, registered 140+ granted patents, written/edited seven research monographs. He has won multiple awards including R&D 100 Award (Oscar of Invention), Siemens Inventor of the Year, UMD ECE Distinguished Alumni Award, BMEF Editor of the Year, Finalist Paper for MICCAI Young Scientist Award (twice). He has been a program co-chair for MICCAI2020, an associate editor for IEEE Trans. Medical Imaging, IEEE Trans. Pattern Analysis and Machine Intelligence, and Medical Image Analysis, and an area chair for AAAI, CVPR, ICCV, MICCAI, and NeurIPS. He has been elected as a treasurer and board member of the MICCAI Society, an advisory board member of MONAI (Medical Open Network for AI), and a fellow of AIMBE, IAMBE, IEEE, MICCAI, and NAI.


    Panelist:

    Prof. Yuan Feng

    Shanghai Jiao Tong University  

     

    Dr. Yuan Feng is an associate professor of biomedical engineering.  Dr. Yuan Feng earned his B.S. degree in Thermo Energy and Power Engineering in 2006 and an M.S. degree in Mechatronics in 2008, both from Harbin Institute of Technology in China. In 2008, he earned his Ph.D. degree in Mechanical Engineering from Washington University in St. Louis with Drs. Philip Bayly and Guy Genin. His postdoctoral training was at Washington University School of Medicine with Dr. Yanle Hu in 2013, and at the University of Texas at Austin with Dr. Michael Sacks in 2014. He was a faculty member at Soochow University from late 2014 to 2017. Since 2018 he moved to Shanghai Jiao Tong University and joined the School of Biomedical Engineering. His research interests are MR image-guided neuro-intervention, MR elastography (MRE), and brain biomechanics. He has developed an electromagnetic actuated MRE system and deployed it to clinical applications. His recent research progress involves a real-time MR imaging system for neurological intervention.

     

    Prof. Qian Wang

    ShanghaiTech University

     

    Dr. Qian Wang is an associate professor in School of Biomedical Engineering, ShanghaiTech University. His research dedicates to fuse machine learning and artificial intelligence into medical image computing and informatics, for the sake of smart diagnosis and prognosis, individualized therapy planning and tracking, and translational medical studies. He has published more than 150 peer-reviewed journal and conference papers.

     


    Prof. Yinghuan Shi

    Nanjing University

     

    Yinghuan Shi is currently an Associate Professor at the Department of Computer Science and Technology, Nanjing University, and he is also affiliated with National Institute of Healthcare Data Science, Nanjing University. He received the B.Sc. and Ph.D. degrees both from Computer Science, Nanjing University, in 2007 and 2013, respectively. His research interests include machine learning, pattern recognition, and medical image analysis. He has published more than 50 papers in CCF-A Conference (e.g., CVPR, ICCV, NeurIPS) and IEEE Transactions (e.g., TPAMI, TIP, TMI). He was awarded as NSFC Excellent Young Scientists Fund, WuWenJun AI Excellent Young Scientist Award, and Young Elite Scientists Sponsorship Program by CAST.

     

    Prof. Xiahai Zhuang

    Fudan University

     

    Xiahai Zhuang is Professor of artificial intelligence for medical imaging, and assistant dean of School of Data Science, Fudan University. He obtained PhD from University College London in 2010. He has PIed or co-PIed over 10 grants and published over 100 peer-reviewed articles. He is currently associate editor/ editorial board for a number of top journals, including Medical Image Analysis, IEEE Transactions on Medical Imaging, Mathematics, Comput Biol Med and Neurocomputing. Some of his works were finalist for MICCAI young scientist award and most cited Medical Image Analysis articles. He is elected Board Member of Directors, the Medical Image Computing and Computer-Assisted Intervention (MICCAI) society. His research interests include medical image analysis, image processing and general AI.


    PProf. Wenxuan Liang

    University of Science & Technology of China

     

    Wenxuan Liang earned his bachelor’s degree and master’s degree, both in Biomedical Engineering (BME), from Tsinghua University, and his PhD degree also in BME from Johns Hopkins University. He worked as a postdoc at Columbia University before starting his own lab at the Suzhou Institute of Advanced Research of the University of Science and Technology of China (USTC) in 2022. His research focuses on developing enabling optical microscopy and endoscopy technologies primary for in vivo imaging of live biological tissues and life processes. He has published more than 20 peer-reviewed papers on mainstream optics and BME journals including Light: Science and Applications, Nature Biomedical Engineering, IEEE Transactions on Medical imaging, etc.

     

    Prof. Dan Wu

    Zhejiang University

     

    Dan Wu is currently a Principle Investigator and the Director of Department of Biomedical Engineering at Zhejiang University. Dr. Wu obtained her Bachelor’s degree from Zhejiang University and master and PhD degrees from the Department of Biomedical Engineering at Johns Hopkins University. She served as an Assistant Professor at the Department of Radiology, Johns Hopkins University School of Medicine between 2016—2018.

    Dr. Wu’s research focuses on the development of MRI pulse sequence and neuroimage analysis techniques, particularly diffusion MRI pulse sequences and microstructural modeling methods. She has published over 70 peer-reviewed journal articles on PNAS, Radiology, NeuroImage, MRM, etc. She has applied for 27 patents domestically and internationally with 16 of them authorized. She was the PI of the NIH R01, R21 and R03 grants. At present, she is the PI of 11 national and provincial projects. She was awarded Innovator under 35 China by MIT Tech Review, Ten Thousand Leaders Program, Excellent Youth Project of NSFC, Outstanding Female Scholar of Chinese Society of Image and Graphics, Junior Fellow of the international Society of Magnetic Resonance in Medicine (ISMRM). Dr. Wu is currently a member of ISMRM Annual Meeting Program Committee, Education Committee, and Publication Committee, Vice President of the Pediatric MR Study Group and the Vice President of the Placenta & Fetus Study Group of ISMRM.