4 August 2020, 12 noon- 1:00 GMT

Organizer: Prof. Madan Rehani, President, IOMP
Moderator: Prof. Eva Bezak, Secretary General, IOMP


Engaging medical professionals, physicists, engineers, and biologists in medical machine learning projects: experience from the Australian Institute for Machine Learning
Dr Johan Verjans
Royal Adelaide Hospital and Deputy director
Medical Machine Learning
Australian Institute for Machine Learning

Expanding Quantitative Medicine through AI and Automation.
Dr Price Jackson
Senior Medical Physicist
Peter McCallum Cancer Centre

AI in clinical trials
A/Prof Lois Holloway
Research Medical Physicist
Ingham Institute for Applied Medical Research

Panel discussion: Speakers + Dr Sykes
Dr Jonathan Sykes
Lead Radiation Oncology Medical Physicist – Research
Sydney West Cancer Network

15 June 2020, 12 noon- 1:00 GMT

Topic: Physics aspect of Clinical implementation of MR- Linac

Prof. K.Y. Cheung
Senior Medical Physicist, Medical Physics and Research Department
Hong Kong Sanatorium & Hospital, Hong Kong

Prof. Arun Chougule
IOMP School webinar Organiser
Senior Professor & Head
Department of radiological Physics
SMS Medical College & hospitals, JAIPUR, INDIA

Understanding the limitations of current CT dosimetry and the way forward

Monday, July 20
Time: 12 noon -1:00 GMT

Organizer: Prof. Arun Chougule
IOMP School webinar Organiser
Senior Professor & Head
Department of radiological Physics
SMS Medical College & hospitals, JAIPUR, INDIA

Speaker: Prof. John Damilakis
Chairman, Department of Medical Physics
School of Medicine
University of Crete, Iraklion, Crete, Greece

Moderator: Prof. Eva Bezak
Professor of Medical Radiation
University of South Australia
Adelaide, Australia

Prof. John Damilakis, PhD

John Damilakis is professor and chairman at the Department of Medical Physics, School of Medicine, University of Crete and director of the Department of Medical Physics of the University Hospital of Heraklion, Crete, Greece. He is Vice President and President-elect of the ‘International Organization for Medical Physics’ (IOMP), Immediate Past President of the ‘European Alliance for Medical Radiation Protection Research’ (EURAMED), Past President of the ‘European Federation of Organizations for Medical Physics’ (EFOMP) and Past President of the ‘Hellenic Association of Medical Physics’. Prof. Damilakis is a member of 2 ICRP Task Groups (TG 108 and TG 109) and member of the steering committee of the ‘EuroSafe Imaging’ of the ESR. He is coordinator or an active research member of several European and national projects. As a Visiting Professor he has given lectures on dosimetry and radiation protection in Boston University, USA. His publications have been focused on medical radiation protection and dosimetry. He is editor of 2 books published by the IOP Publishing and Springer-Verlag and co-author of 2 chapters in books published by Springer and Academic Press. Number of publications in PubMed: 213, h-index 45 (Google Scholar). Many of these publications are in leading journals such as Medical Physics, Physics in Medicine and Biology, Radiology, Investigative Radiology and European Radiology. John Damilakis has given more than 300 invited presentations in national and international conferences including ECR, RSNA, AAPM, IAEA, ICRP, IOMP and EFOMP meetings. He has received 10 awards for his work.

9 July 2020, 12 noon – 1:00 GMT

Webinar Topics:
What is radiomics? What is its relationship to machine learning and deep learning? Arman Rahmin, UBC, Vancouver, Canada
Potential value and pitfalls of machine learning for radiomics applications by Mathieu Hatt, INSERM, France

Organizer: Prof. Madan Rehani, President, IOMP

Arman Rahmin, UBC, Vancouver, Canada
Arman Rahmin is Associate Professor of Radiology and Physics at the University of British Columbia (UBC), as well as Senior Scientist and Provincial Medical Imaging Physicist at BC Cancer, Vancouver, Canada. He received his PhD in medical imaging physics at UBC. Following doctoral studies, he was recruited by Johns Hopkins University (JHU) to lead the high-resolution brain PET imaging physics program and to pursue research at the JHU Department of Radiology. In 2018, he was recruited back to Vancouver, where he leads the provincial molecular imaging and therapy physics program and his lab (rahmimlab.com) pursues research in tomographic image generation and analysis. He has published a book, over 130 journal articles and 280 conference proceeding papers/abstracts, and delivered more than 90 invited lectures worldwide. He was president (2018-2019) of the Physics, Instrumentation and Data Sciences (PIDS) Council of the Society of Nuclear Medicine & Molecular Imaging (SNMMI), and was awarded the John S. Laughlin Young Scientist Award by the American Association of Physicists in Medicine (AAPM) in 2016

Mathieu Hatt, INSERM, France
Mathieu Hatt is a computer scientist. He received his PhD in 2008 and his habilitation to supervise research in 2012. His main skills and expertise lie in radiomics, from automated image segmentation to features extraction, as well as machine (deep) learning methods, for PET/CT, MRI and CT modalities. He is an elected member of the EANM physics committee, the SNMMI physics, data science and instrumentation council board of directors, and the IEEE nuclear medical and imaging sciences council.

23 June 2020, 12 noon- 1:00 GMT

Topic: Artificial Intelligence in Medical Physics and Medicine: Challenges and Opportunities

Prof. Madan Rehani, President, IOMP

Prof. Steve Jiang, Ph.D.
Vice Chair, Department of Radiation Oncology;
Director, Division of Medical Physics and Engineering
University of Texas Southwestern Medical Center