Recent advances in Medical Image Analysis
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Diagnosis and treatment of multiple conditions and diseases requires the acquisition of samples, either extracted from patients as in biopsies, or observed with non-invasive methods like x-rays. However, the acquisition of the data is just the beginning of the process. Images need to be carefully observed and analysed, traditionally by specialists like pathologist or radiologist. Algorithms to assist diagnosis have existed for some time, and with the development of computer power, these are more and more sophisticated, some of these are now grouped under the “artificial intelligence” umbrella term.
In this webinar, four experts will describe recent advances in different areas of medical image analysis, specifically in two areas: histopathology and radiomics.
Peter Bankhead
Peter Bankhead is a Senior Lecturer at the University of Edinburgh. His main research interest is in developing practical, open algorithms and software for bioimage analysis, with a focus on digital pathology and fluorescence microscopy. He is the creator and maintainer of the QuPath open-source software (https://qupath.github.io), and author of a popular image analysis handbook for biologists (https://petebankhead.gitbooks.io/imagej-intro/content/).
Dr. Maria del C. Valdés Hernández
Graduated with merits as Electronic Engineer and MSc in Electronics from the Central University of Las Villas, Cuba, obtained her PhD in Electronics and Informatics from Gunma University, Japan, and the Post-graduate certificate in University Teaching from The University of Edinburgh, UK. Has over 15 years industrial experience in C programming and in writing image processing algorithms in MATLAB and C/C++ combined with assembly language. Seven years of experience designing control systems for power plants and industry. Two years of experience in embedded visual C++ programming, secure systems data management and wireless communications.
Has been affiliated with the Centre for Clinical Brain Sciences at the University of Edinburgh for 13 years. Is currently The Row Fogo Lecturer at the Row Fogo Centre for Research into Ageing and The Brain, and consultant in software development for medical imaging applications, specifically in the area of brain research. Her interests and expertise include medical image processing, analysis and integration with meta-data from/for large multicentre longitudinal clinical studies, medical image reconstruction and super-resolution, and harmonisation of the image data acquired from different sources with application to precision medicine.
Hamid R. Tizhoosh
Hamid R. Tizhoosh is a Professor in the Faculty of Engineering at the University of Waterloo since 2001, leading the KIMIA Lab (Laboratory for Knowledge Inference in Medical Image Analysis). KIMIA Lab researchers investigate the use of artificial intelligence methods for searching in large archives of medical images. Since 1993, Dr. Tizhoosh's research activities encompass artificial intelligence, computer vision, and medical imaging. He has developed algorithms for medical image filtering, segmentation, and search. He is the author of two books, 14 book chapters, and more than 150 journal and conference papers. Dr. Tizhoosh has long-standing extensive industrial activities and has worked with numerous companies. He is also a Faculty Affiliate to the Vector Institute, Toronto, Canada, and a Waterloo AI Institute, University of Waterloo, Canada.
Francesco Bianconi
Francesco Bianconi received the M.Eng. from the University of Perugia, Italy, and the Ph.D. in computer-aided design from a consortium of Italian universities. He has been a Visiting Researcher with the University of Vigo, Spain; the University of East Anglia, U.K.; Queen Mary University of London, U.K. and City, University of London, U.K. He is currently an Associate Professor with the Department of Engineering, University of Perugia, where he conducts research on computer vision, image processing, and pattern recognition with special focus on texture and colour analysis for industrial and biomedical applications. Prof. Bianconi is an IEEE Senior Member, Chartered Engineer and Court-Appointed Expert; has been TPC/IPC member of more than 30 international conferences and symposia and is currently serving as Associate Editor for two scholarly journals.
Constantino Carlos Reyes-Aldasoro (Chair)
Dr Reyes-Aldasoro is an interdisciplinary scientist with interest in Computer Science, Engineering and Life Sciences, in particular the analysis of data from Cancer, Microcirculation and Inflammation with computational techniques. He has specialised in Biomedical Image Analysis and has more than 20 years of experience in the area. Dr Reyes-Aldasoro is author of a book (Biomedical Image Analysis Recipes in MATLAB: For Life Scientists and Engineers, 2015, Wiley), has published more than 50 peer-reviewed journal papers, numerous conference papers and edited several conference proceedings and special issues in prestigious journals like Medical Image Analysis. He is academic editor of PLoS ONE, Immuno-Informatics and previously of Oncology News.
He has a degree in Mechanical and Electrical Engineering (UNAM, Mexico), MSc in Electrical Engineering (Imperial College) and PhD in Computer Science (Warwick) and worked as a Research Associate and Fellow at the Department of Surgical Oncology, School of Medicine of The University of Sheffield. He is currently Senior Lecturer in Computer Science in the Department of Computer Science at City, University of London where he is currently supervising 5 doctoral students and has supervised 5 to completion.
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