A joint webinar organised by the Institute of Physics and Engineering in Medicine and the School of Science & Technology at City, University of London.
Overview
This webinar will present 3 different application of AI in Healthcare indicating the current limitations without AI and the advances that have been made with AI and the potential benefits for patients. The building blocks to achieve the benefits with AI in each application will be presented.
Registration is free and open to those working in industry and research as well as students and the public.
N.B. this event is scheduled to take place online and all timings mentioned refer to UK time.
Webinar chair
Dr Eduardo Alonso
Reader in Computing
School of Science & Technology at City, University of London
Eduardo is the Director of the Artificial Intelligence Research Centre (CitAI) and a Reader in Computing at the Department of Computer Science, City, University of London. He is an expert in the application of AI to real-life problems, such as in health and wellbeing, renewable energies and innovation and creativity, as well as in investigating the ethical and legal challenges posed by AI technologies. For this, he collaborates with large companies as well as SMEs and start-ups, and has received funding from the EPSRC, Innovate UK, and the EU. He works closely with Digital Catapult and the Alan Turing Institute.
Dr Alonso has published over 100 papers and his work has been spotlighted by the IEEE Computational Intelligence Society as one of the most important contributions in the area. He was also awarded a First Prize of the European Institute of Innovation and Technology ICT in 2014. Dr Alonso has acted as vice-chair of The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB), and is a full member of the EPSRC College.
Speakers, titles and bios
Dr Giacomo Tarroni
Lecturer in Artificial Technology
School of Science & Technology at City, University of London
Talk title: Taking hearts to heart: AI-based automated quality control of cardiac MR images
Giacomo has been a full-time researcher in the field of medical image analysis since 2009. His work has been mainly focused on image segmentation, image registration, quality control and object tracking for cardiovascular, brain and fetal images. In 2012, he obtained his Ph.D. from the University of Bologna, Italy (in collaboration with the University of Chicago, U.S.) working on the automated analysis of first-pass myocardial perfusion sequences in MRI. During his post-doc at the University of Padova, Italy, he focused on the automated analysis of fetal ultrasound images. After being awarded a Marie Skłodowska-Curie Fellowship, he moved to Imperial College London in 2015, where he became interested in the applications of machine learning and AI to automated organ detection, quality control assessment and motion correction for cardiac MRI. While still holding an Honorary Research Fellow position at Imperial College, since 2019 he his a Lecturer in Artificial Intelligence at City, and a core member of the CitAI Research Centre.
His current research focus is on machine learning for unsupervised anomaly detection in medical images, self-supervised approaches to medical image segmentation and federated learning in medical imaging.
Dr Alex (Aram) Ter-Sarkisov
Lecturer in Artificial Technology
School of Science & Technology at City, University of London
Talk title: Application of Deep Learning solutions to the automation of chest CT scan analysis
Alex is a Lecturer at City, University of London. For several years he has been working on the application of Deep Learning in Computer Vision, and his most recent work is on the segmentation of lesions and classification of chest CT scans for COVID-19 prediction. He earned his MSc in Statistics from the University of Auckland, New Zealand and PhD in Computer Science from Massey University, New Zealand.
Dr Constantino Carlos Reyes Aldasoro
Senior Lecturer
School of Science & Technology at City, University of London
Talk title: Analysis of Cancer Cells observed with Electron Microscopy
Constantino is an interdisciplinary scientist with interest in Computer Science, Engineering and Life Sciences, in particular the computational analysis of data from Cancer, Microcirculation and Inflammation observed with a variety of acquisition techniques, from Electron Microscopy to Magnetic Resonance Imaging. 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), numerous peer-reviewed journal and conference papers, edited several conference proceedings and special issues in journals like Medical Image Analysis. He is academic editor of PLoS ONE, Immuno-Informatics, Journal of Imaging and previously of Oncology News. He has served in the Executive Committees of the British Association for Cancer Research, IET Vision and Imaging Technical Network, Medical Image Understanding and Analysis Conference.
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 7 doctoral students and has supervised 5 to completion.
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