Masterclass "Artificial Intelligence Medical Physics & Radiation Oncology"
Artificial Intelligence Medical Physics & Radiation Oncology - 2022
Description of the training
The 3th edition of our cutting-edge master-class will take place at Gustave Roussy, Ecole des Sciences du Cancer from 12th to 15th of December 2022, with renowned speakers from the best French cancer centers (IGR, CLB), and top notch engineering schools (University Paris-Saclay, ParisTech and Centrale Supelec).
Register and learn how to practice high precision radiotherapy by combining medical imaging, AI, physics and mathematics.
The lectures and practical sessions will be 100% in English, so that people from abroad can apply.
Please note that the training will be held face to face at Ecole des Sciences du Cancer.
Objectives of the training
- Introducing AI vocabulary and basic concepts. Program of the third edition has been adapted to stick the europeen medical physicist curriculum as proposed by EFOMP (F. Zanca et al. Physica Medica, 2021)
- Identifying putative applications of AI in medical physics (medical imaging and radiotherapy)
- Understanding mathematical basis of main algorithms used in machine learning and deep learning
- Enforcing these tools during practical sessions on computers.
Target audience
Medical physicists, radiation oncologists, engineers, researchers, physicists, and students in medical physics/radiation oncology/radiology/nuclear medicine.
Program
Day 1 - Monday 12th December 2022
(the first day of training is not mandatory and is intended for people who want to refresh their knowledge of Python)
- Upgrade of knowledge in Python (course and practical work)
Day 2 - Tuesday 13th December 2022
- Introducing AI (vocabulary, global methodology…)
- Applications in radiotherapy and medical imaging – views of the radiation oncologist and the medical physicist.
- Basic IT infrastructure requirements for AI applications
- Ethics
- Medical Device Regulation - Application to AI software
Day 3 - Wednesday 14th December 2022
- Optimization and main machine learning algorithms
- Machine learning practical work: radiomics for classification of brain lesions
Day 4 - Thursday 15th December 2022
- Deep learning and neuronal networks
- Deep learning practical work: segmentation of brain magnetic resonance images
Practical information
Dates : 4 days from Monday the 12th to Thursday 15th of December 2022.
Venue : Gustave Roussy, Ecole des Sciences du Cancer, bâtiment de médecine moléculaire (B2M), 39 rue Camille Desmoulins, Villejuif.
Required background
Basics of PYTHON (please note : an optional refresher day on this topic is scheduled before the training for those that are interested : Day 1 "Upgrade of knowledge in Python : course and practical work" ).
Please note : applicants should bring their laptop for the training.
Registration
Your CV, motivation letter and a copy of your last degree will be asked. The deadline for submission is September 17th 2022.
Applications will be evaluated and selected applicants will be notified by the end of August 2022. Registration is limited to 25 students.
Cost
- 700 € (4 days from Monday 12 to Thursday 15 December 2022)
With the option :
"Python knowledge upgrade"
on DAY 1 : Monday 12 December 2022.
- 600 € (3 days from Tuesday 13 to Thursday 15 December 2022)
Please note the following important points for a smooth processing of your application:
- No payment is needed at the first step of your application
- A payment will be asked only if your application is selected (you will be notified shortly after the decision of the selection committee)
Organisation
-Eric Deutsch (Gustave Roussy, Villejuif)
-Vincent Grégoire (CLCC Léon Bérard, Lyon)
-Nikos Paragios (Therapanacea, Paris / Centrale Supélec, Paris)
-David Sarrut (CLCC Léon Bérard, Lyon)
-Charlotte Robert (Gustave Roussy, Villejuif)
Scientific partners
-INanoTheRad
-SIRIC Lyrican (Lyon)
-SIRIC SOCRATE 2.0 (Gustave Roussy)
-Centrale Supélec
-THERAPANACEA
-Centre Léon Bérard
ESTRO endorsed course