Prof. Yu-Dong Zhang, University of Leicester, UK, firstname.lastname@example.org, email@example.com, +44(0)7548700453 https://www2.le.ac.uk/departments/informatics/people/yudong-zhang
Prof. Yu-Dong Zhang received his Ph.D. degree from Southeast University, China, at 2010. He worked as postdoc from 2010 to 2012, and a research scientist from 2012 to 2013 at Columbia University, USA. He served as Professor from 2013 to 2017 in Nanjing Normal University, where he was the director and founder of Advanced Medical Image Processing Group in NJNU. From 2017, he served as Full Professor in Department of Informatics, University of Leicester, UK. His research interest is deep learning in communication and signal processing, medical image processing.
He was included in “Most Cited Chinese researchers (Computer Science)” from 2015 to 2018. In total 18 papers were included as “ESI Highly Cited Papers”. His citation reached 6814 with h-index of 47 in Google Scholar, and 3492 with h-index of 36 in Web of Science. He won “Emerald Citation of Excellence 2017”, and “MDPI Top 10 Most Cited Papers 2015”. He was included in Top Scientist list in “Guide2Research”. He is now the editor of Scientific Reports, Journal of Alzheimer‟s Disease, International Journal of Information Management, etc. He is the senior member of IEEE and ACM.
He has conducted and joined many successful academic grants and industrial projects, such as NSFC, NIH, EPSRC, etc.
Theme of Session:
The main aim of this SS is to provide a diverse, but complementary, set of contributions to demonstrate new developments and applications of Intelligent Computing in the multimodal biomedical imaging area. The ultimate goal is to promote research and development of advanced imaging analysis for multimodal biomedical images by publishing high-quality research articles and
reviews in this rapidly growing interdisciplinary field.
Topics of Interest:
We invite original (un-published) research contributions based on the above-mentioned theme including following topics but not limited to:
New algorithms, models and applications of advanced imaging methods
Multimodal imaging techniques: data acquisition, reconstruction; 2D, 3D, 4D imaging, etc.)
Translational multimodality imaging and biomedical applications (e.g., detection, diagnostic analysis, quantitative measurements, image guidance of ultrasonography)
Variational and combinatorial optimizations for biomedical imaging and image analysis
Advanced Biomedical image analysis (image processing, Statistical and probabilistic methods for biomedical imaging and image analysis, Machine learning in biomedical imaging and image analysis)
- Deep learning methods (convolutional neural network, autoencoder, deep belief network, etc.)
Paper Submission Process:
Please submit your paper (in word/pdf format) at
with „Name of Special Session: CIBI‟ mentioned in the subject line.
Program Committee: Name(s), Affiliation(s)
Prof. Zhengchao Dong, Columbia University
Dr. Preetha Phillips, West Virginia School of Osteopathic Medicine
Dr. Shui-Hua Wang, Loughborough University
Dr. Yuankai Huo, Vanderbilt University
Prof. Liangxiu Han, Manchester Metropolitan University
Prof. Ravipudi Venkata Rao, National Institute of Technology
Prof. Vishnu Varthanan Govindaraj, Kalasalingam University
Prof. Shuai Liu, Inner Mongolia University
Prof. Sidan Du, Nanjing University
Prof. Junding Sun, Henan Polytechnic University
For any further queries related to this special session, please contact the session chairs at: E-mail ID: firstname.lastname@example.org (Preferred) or email@example.com
Mobile No.: +44(0)7548700453