Special Session Title: Biomedical Image and Video Analysis with Applications to Disease Risk Assessment
Organiser: Efthyvoulos Kyriacou, Department of Electrical Engineering, Computer Engineering and Informatics, Cyprus University of Technology, CY
Marios S. Pattichis, Department of Electrical and Computer Engineering, The University of New Mexico, USA
Description:
Biomedical image and video analysis methods can help monitor disease progression through time. Ultimately, there is a need to monitor risk assessment through time. To gain acceptance in the medical community, biomedical image and video analysis methods need to be explainable so that clinical decisions can be based on evidence of disease progression.
Such an example could be the application of biomedical image and video analysis for stroke risk assessment. Atherosclerotic cardiovascular disease affects a large percentage of the population above 60 years old. Monitoring of the disease and the estimation of the risk associated with atherosclerosis, can contribute to effective patient treatment.
This special session aims at bringing together researchers from different disciplines to share perspectives and methods to advance the area of biomedical image and video analysis and its applications in monitoring disease progression and risk assessment.
Research papers are solicited in, but not limited to, the following area topics:
– Explainable image and video representations for Biomedical image and video applications
– Biomedical image and video analysis using Deep Learning methods
– Biomedical image and video segmentation, classification, and motion estimation
– Biomedical image and video analysis for stroke and mortality risk assessment
– Biomedical image and video analysis methods for disease progression
– Computer aided diagnosis systems
Biography of Organizers:
Efthyvoulos Kyriacou is an Assistant Professor at the Department of Electrical, Computer Engineering and Informatics Cyprus University of Technology and Head of the University’s eHealth lab. He received diploma and PhD in Electrical and Computer Engineering from the National Technical University in Athens Greece in 1996 and 2000 respectively. He has more than 20 years of experience in ehealth systems, emergency telemedicine systems, medical imaging systems and intelligent systems applications in medicine. He was Guest Co-Editor of 7 Special Issues. He is a co-editor of the book Ultrasound and Carotid Bifurcation Atherosclerosis, Springer, UK 2012. Moreover, he serves as an Associate Editor of Elsevier-Journal Computer Methods and Programs in Biomedicine. He served as an Associate Editor of the IEEE Trans. on Information Technology in Biomedicine from 2007 to 2010. He was the Program Co-chair of ITAB 2009, BIBE 2012, Medicon 2016, Melecon 2016 and was in the program committee of several other scientific conferences. He is a Senior Member of the IEEE and one of the main founders and the first chairman (8/2008-1/2019) of the IEEE Cyprus Engineering in Medicine and Biology/Signal Processing chapter.
Marios S. Pattichis received the B.Sc. degree with high honors and special honors in Computer Sciences, the Bachelor of Arts with high honors in Mathematics, and a minor in Electrical Engineering from the University of Texas at Austin in 1991. He received the M.S. in Electrical Engineering and the Ph.D. in Computer Engineering from the University of Texas at Austin in 1993 and 1998 respectively. He is currently a Professor and director of the image and video processing and communications lab (ivPCL) at the Department of Electrical and Computer Engineering, at the University of New Mexico. He has served as a Senior Associate Editor for the IEEE Transactions On Image Processing, a Senior Associate Editor for IEEE Signal Processing Letters, Associate Editor for IEEE Transactions on Image Processing, IEEE Transactions on Industrial Informatics. He has served as a Guest Associate Editor for special issues published by the Teachers College Record, the IEEE Journal of Biomedical and Health Industry, the IEEE Transactions on Information Technology in Biomedicine, and Biomedical Signal Processing and Control. He was elected Fellow of the European Alliance of Medical and Biological Engineering and Science (EAMBES).