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

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