IOMP Webinar on Machine Learning

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

Speakers:

Arman Rahmin, UBC, Vancouver, Canada

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.