Committees of MICAD 2024
Conference Chairs (Alphabetize by Last Name)
Prof. Alejandro F Frangi
The University of Manchester, UK
IEEE Fellow, SPIE Fellow
Diamond Jubilee Chair in Computational Medicine
Royal
Academy of
Engineering Chair in Emerging Technologies
Professor Frangi is Bicentennial Turing Chair in Computational Medicine at the University of
Manchester, UK, with joint appointments at the Computer Science and Health Sciences Schools. He
is also the Royal Academy of Engineering Chair in Emerging Technologies, focusing on Precision
Computational Medicine for In Silico Trials of Medical Devices. He founded (2001) and directs
the Centre for Computational Imaging and Simulation Technologies in Biomedicine. Prof Frangi has
visiting positions at KU Leuven, the Cixi Institute of Biomedical Engineering, CNITECH Chinese
Academy of Science (Ningbo), the Zhejiang University of Technology (Hangzhou), Shenzhen
University (Shenzhen), and Beijing Institute of Technology (Beijing).
Prof. Yudong Zhang
King Abdulaziz University, Saudi Arabia
IET Fellow, EAI Fellow, BCS Fellow，IEEE Senior Member
Prof. Yudong Zhang works at King Abdulaziz University, Saudi Arabia. His research interests include deep learning and medical image analysis. He is the Fellow of IET, Fellow of EAI, and Fellow of BCS. He is the Senior Member of IEEE and ACM. He is the Distinguished Speaker of ACM. He was 2019, 2021 & 2022 recipient of Clarivate Highly Cited Researcher. He has (co)authored over 400 peer-reviewed articles. There are more than 60 ESI Highly Cited Papers and 6 ESI Hot Papers in his (co)authored publications. His citation reached 29071 in Google Scholar (h-index 96). He is the editor of Neural Networks, IEEE TITS, IEEE TCSVT, IEEE JBHI, etc. He has conducted many successful industrial projects and academic grants from NIH, Royal Society, British Council, GCRF, EPSRC, MRC, BBSRC, Hope, and NSFC. He has served as (Co-)Chair for more than 60 international conferences (including more than 20 IEEE or ACM conferences). More than 70 news presses have reported his research outputs, such as Reuters, BBC, Telegraph, Mirror, Physics World, UK Today News, etc.
General Co-Chairs
(Alphabetize by Last Name)
Prof. Ryuji Hamamoto (浜本 隆二)
Tokyo Medical and Dental University, Japan
Division Chief, National Cancer Center Research Institute, Japan
Representative Director, Japanese Association for Medical Artificial Intelligence (JMAI)
Dr. Ryuji Hamamoto has been involved in cancer research for more than 20 years since he started his career at the Institute of Medical Science, the University of Tokyo. He was appointed an assistant professor at the Institute of Medical Science, the University of Tokyo in 2001, and was an Honorary Visiting Fellow at the Department of Oncology, University of Cambridge from 2006-2007. He then returned to the Institute of Medical Science at the University of Tokyo, but from 2012 he conducted cancer research at the University of Chicago Medicine as an Associate Professor. In January 2016, he was appointed as a Division Chief of the National Cancer Center, where he has pioneered the development of cancer research using AI technology in Japan. Since April 2016, he has been a professor at the Tokyo Medical and Dental University Collaborative Graduate School, and since April 2017, he has been a team leader at the RIKEN Center for Advanced Intelligence Project, and since 2018, he has been the Representative Director of the Japan Society for Medical AI (JMAI).
Prof. Moi Hoon Yap
Manchester Metropolitan University, UK
Moi Hoon Yap is a Professor of Image and Vision Computing at
The Manchester Metropolitan University, and holder of The Royal Society Industry Fellowship
(2016-2018). She received her PhD in Computer Science from Loughborough University in 2009.
After her PhD, she worked as Postdoctoral Research Assistant (April 09 - Oct 11) in the
Centre for Visual Computing at the University of Bradford. She serves as an Associate Editor
for Computer Methods and Programs in Biomedicine, and reviewers for IEEE
transactions/journals (Image Processing, Multimedia, Cybernetics, biomedical health and
informatics). Her research is funded by Royal Society, EU funding, Innovate UK, CRUK, EPSRC
and industrial funding. Her research expertise is in computer vision, image/video processing
on facial analysis and medical image analysis.
Prof. Xiahai Zhuang
Fudan University, China
Professor Xiahai Zhuang works with School of Data Science, Fudan University, China. He obtained PhD from the Centre for Medical Image Computing, University College London. His research interests include medical image analysis, interpretable artificial intelligence and statistical learning. He serves as editorial board member/ associate editor for IEEE TMI, Med Image Anal, Neural Networks, Neurocomputing, Mathematics. He is elected Board Member (2022-2026), and Executive Director (2024-2027) of the MICCAI Society. His interpretable Bayesian deep segmentation work won the Elsevier-MedIA 1st Prize and Medical Image Analysis-MICCAI Best Paper Award 2023.
Program Committee Chairs
Asst. Prof. Ruidan Su
Shanghai Jiao Tong University (SJTU), China
IEEE Senior Member
Dr. Ruidan Su received his MSc in Software Engineering from Northeastern
University, China in 2010, and his Ph.D degree in Computer Application Technology from
Northeastern University, China in 2014. He was an assistant professor of Shanghai Advanced
Research Institute, Chinese Academy of Sciences during 2015–2020. He is currently a research
assistant professor with Department of Computer Sciences and Engineering, Shanghai Jiao Tong
University.Dr. Ruidan Su is an IEEE Senior Member. He has published 22 papers in referred
journals, conference proceedings. He was the Founder & Editor-in-Chief of Journal of
Computational Intelligence and Electronic Systems published by American Scientific Publisher
from 2012-2016. He is an Associate Editor for the Journal of Granular Computing Published by
Springer, an Associate Editor for the Journal of Intelligent & Fuzzy Systems published by
IOS Press, a Review Board Member for Applied Intelligence. His field of science is artificial
intelligence, system optimization, AI applications in medical image and finance.
Prof. Dr. Joseph M. Reinhardt
The University of Iowa, IA, USA
IEEE Fellow, AIMBE Fellow
Director, The Reinhardt Biomedical Imaging Lab
Roy J. Carver Chair
in Biomedical Engineering
Joseph M. Reinhardt is the Roy J. Carver Chair of Biomedical Engineering at the University of Iowa. He received the BS degree from Carnegie Mellon University, the MS degree from Northeastern University, and the PhD degree from Penn State University, all in Electrical Engineering. Dr. Reinhardt worked for several years in industry as a radar systems engineer. He is currently Professor and Department Executive Officer (chair) of the Roy J. Carver Department of Biomedical Engineering. Dr. Reinhardt teaches courses in the areas of computer programming, biomedical instrumentation, and medical imaging. Dr. Reinhardt is a fellow of the Institute of Electrical and Electronic Engineers (IEEE) and a fellow of the American Institute of Medical and Biological Engineering (AIMBE). His research interests are in the area of medical image processing, with a special emphasis on pulmonary imaging. Dr. Reinhardt has received research support from the National Institutes of Health, National Science Foundation, the Roy J. Carver Charitable Trust, and the Whitaker Foundation. Dr. Reinhardt, together with colleagues from The University of Iowa, founded VIDA Diagnostics, an Iowa-based medical imaging software company that focuses on computer-aided diagnosis and image-guided interventions for lung disease.
Technical Program Committee Chairs
Prof. Shadi Albarqouni
Professor of Computational Medical Imaging Research at University of Bonn,
Germany
AI Young Investigator Group Leader at Helmholtz AI
Senior Research Affiliate at TU Munich
Shadi Albarqouni is a Palestinian-German Professor of Computational Medical
Imaging Research. He received his B.Sc. and M.Sc. in Electrical Engineering from the IU Gaza,
Palestine, in 2005, and 2010, respectively. In 2012, he received the DAAD research grant to
pursue his Ph.D. at the Chair for Computer Aided Medical Procedures (CAMP), Technical University
of Munich (TUM), Germany. His AggNet paper, published at the Special Issue on Deep Learning at
the IEEE Transaction on Medcial Imaging (IF: 10.048), was among the first ones on Medical
Imaging with Deep Learning and has been featured as the top downloaded article for a couple of
years at IEEEXplore.
Since Nov. 2020, Albarqouni has been appointed as an AI Young Investigator Group Leader at
Helmholtz AI. The aim of Albarqouni’s Lab. is to develop innovative deep Federated Learning
algorithms that can distill and share the knowledge among AI agents in a robust and
privacy-preserved fashion. Since Jan. 2022, Albarqouni has been appointed as a W2 Professor of
Computational Medical Imaging Research at the Faculty of Medicine, University of Bonn.
Albarqouni has more than 100 peer-reviewed publications in both Medical Imaging Computing and
Computer Vision published in high impacted journals and top-tier conferences. He serves as a
reviewer for many journals, e.g., IEEE TPAMI, MedIA, IEEE TMI, IEEE JBHI, IJCARS and Pattern
Recognition, and top-tier conferences, e.g., ECCV, MICCAI, MIDL, BMVC, IPCAI, and ISBI among
others. He is also an active member of MICCAI, BMVA, IEEE EMBS, IEEE CS, and ESR society.
Recently, Albarqouni has been elected as a member for the European Lab for Learning and
Intelligent Systems ( ELLIS), the Arab German Young Academy ( AGYA), and the Higher Council for
Innovation and Excellence in Diaspora ( HCIE). Since 2015, he has been serving as a PC member
for a couple of MICCAI workshops, e.g., COMPAY, DART, DCL, FAIR among others. Since 2019,
Albarqouni has been serving as an Area Chair in Advance Machine Learning Theory at MICCAI.
Recently, he has been serving as a Program Co-Chair at MIDL'22 in Swizterland, and as an
Organizing Committee Member at ISBI'22 in India, MICCAI'24 in Morocco.
His current research interests include Interpretable ML, Robustness, Uncertainty, and Federated
Learning. He is also interested in Entrepreneurship and Startups for Innovative Medical
Solutions with limited resources.
Asst. Prof. Thi Hoang Ngan Le
University of Arkansas, USA
Dr. Le is currently an assistant Professor in the Department of Computer Science & Computer Engineering at University of Arkansas. She was a research associate in the Department of Electrical and Computer Engineering (ECE) at Carnegie Mellon University (CMU) in 2018-2019. Her current research interests focus on Image Understanding, Video Understanding, Computer Vision, Robotics, Machine Learning, Deep Learning, Reinforcement Learning, Biomedical Imaging, SingleCell-RNA. Her publications appear in top conferences including CVPR, MICCAI, ICCV, SPIE, IJCV, ICIP etc, and premier journals including IJCV, JESA, TIP, PR, JDSP, TIFS, etc. She has co-authored 55+ journals, conference papers, and book chapters, 6+ patents and inventions. She co-organized the Deep Reinforcement Learning Tutorial for Medical Imaging at MICCAI 2018, Medical Image Learning with Less Labels and Imperfect Data workshop at MICCAI 2019, Precognition: Seeing through the Future at CVPR 2019. She has served as a reviewer for 10+ top-tier conferences and journals, including TPAMI, AAAI, CVPR, NIPS, ICCV, ECCV, MICCAI, TIP, PR, TAI, IVC, etc.
Dr. Duygu Sarikaya
University of Leeds, UK
Board member of Women in MICCAI (WiM)
Dr. Duygu Sarikaya is a Lecturer at University of Leeds, School of Computing. Her research interests span defining the technologies of future, artificial intelligence powered, healthcare applications. More specifically, she works on surgical vision and perception, and medical image computing. Dr. Duygu Sarikaya served as a board member of Women in MICCAI, and formerly was a member of the Student Board and the Educational Initiative at MICCAI.
Publicity Chair
Assoc. Prof. Grace Yao-jie Xie
The Hong Kong Polytechnic University, Hong Kong SAR, China
Assoc. Prof. Yao Jie Xie currently works at the School of Nursing, The Hong Kong Polytechnic University. Yao Jie does research in Public Health, Nursing, and Epidemiology.
Local Chairs
Asst. Prof. Indranath Chatterjee
Manchester Metropolitan University, UK
Dr. Indranath Chatterjee is working as an Assistant Professor in the Department of Computer and Mathematics at Manchester Metropolitan University, Manchester, UK. His research areas include Computational Neuroscience, Schizophrenia, Medical Imaging, fMRI, and Machine learning. He has authored and edited 11 books on Computer Science and Neuroscience published by renowned international publishers. To date, he has published numerous research papers in international journals and conferences. He is a recipient of various global awards in neuroscience. Throughout his career, he has presented more than 22 keynote/plenary talks at various international conferences and seminars worldwide.
William Wang, University of Leicester, UK
Technical Program Committees
Dr. Marwan Abdellah, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Asst. Prof. Gokhan Bakal, Abdullah Gul University, Turkey
Prof. Edwin van Beek, the University of Edinburgh, Germany
Dr. Anna Breger, University of Cambridge, UK
Dr. Deruo Cheng, Nanyang Technological University, Singapore
Prof. Qiang (Shawn) Cheng, University of Kentucky, USA
Prof. Albert Chung, Hong Kong University of Science and Technology, Hong Kong SAR, China
Dr. Francesco Cremonesi, The National Institute for Research in Digital Science and Technology (Inria), France
Assoc. Prof. Shaker El-Sappagh, Sungkyunkwan University, South Korea
Dr. Loveleen Gaur, Taylor University, Malaysia & University of South Pacific, Fiji
Dr. Mergen Ghayesh, The University of Adelaide, Austrilia
Asst. Prof. Qiangqiang Gu, University of Minnesota, USA
Dr. Yuan Gu, Stanford University, USA
Dr. Nicholas Hindley, University of Sydney, Austrilia
Dr. Tzung-Chien Hsieh, University Bonn, Germany
Dr. Jana Hutter, King's College London, UK
Asst. Prof. Pengpeng Hu, Coventry University, UK
Asst. Prof. Yuankai Huo, Vanderbilt University, USA
Asst. Prof. Shenlu Jiang, Macau University of Science and Technology, China
Prof. Dr. Xiaoyi Jiang, University of Münster, Germany
Assoc. Prof. Jing Ke, Shanghai Jiao Tong University, China
Dr. Abdullah Ayub Khan, Benazir Bhutto Shaheed University Lyari, Pakistan
Dr. Fay Manning, University of Exeter, UK
Prof. Zhe Min, Shandong University/University College London
Prof. Gemma Piella, Pompeu Fabra University, Spain
Dr. Francesco Prinzi, University of Palermo, Italy
Dr. Sabrina Ramnarine, King's College London, UK
Assoc. Prof. Hongliang Ren, Chinese University of Hong Kong, Hong Kong SAR, China
Assoc. Prof. Jianfeng Ren, University of Nottingham Ningbo China, China
Research Fellow, Dr. Ali Rohan, Robert Gordon University, UK
Prof. Su RUAN, LITIS laboratory, University of Rouen, France
Dr. Mehdi Salimi, Kwantlen Polytechnic University, Canada
Prof. Dr. Thomas Schultz, Institute of Computer Science II, University of Bonn, Germany
Dr. Afshin Shoeibi University of Granada, Spain
Dr. Rachel Sparks, King’s College London, UK
Prof. João Manuel R. S. Tavares, Faculdade de Engenharia da Universidade do Porto (FEUP), Portugal
Asst. Prof. Moti Freiman Technion, Israel Institute of Technology, Israel
Asst. Prof. Xiao Jian Tan, TAR UMT, Malaysia
Asst. Prof. Yanmei Tie, Harvard Medical School, USA
Dr. Phuong D Trieu (Yun), The University of Sydney, Austrilia
Dr. Juan Miguel Valverde, Technical University of Denmark, Denmark
Assoc. Prof. Alan Wang, The University of Auckland, New Zealand
Guotai Wang, University of Electronic Science and Technology of China, China
Dr. Jiaqiu Wang, London South Bank University, UK
Assoc. Prof. Jia Wei, South China University of Technology, China
Prof. Ka-Chun Wong, City University of Hong Kong, Hong Kong SAR, China
Research Associate, Dr. Jiangchang Xu, Shanghai Jiao Tong University (SJTU), China
Dr. Ts Faridah binti Yahya, UniKL Malaysian Institute of Information Technology, Malaysia
Assoc. Prof. Han Zhang, ShanghaiTech University, Chiina
Asst. Prof. Hubin Zhao, University College London, UK
Asst. Prof. Jun Zhuang, Indiana University-Purdue University at Indianapolis (IUPUI), USA
Committees of MICAD 2023, please click.