
2022 Summer school on deep learning for medical imaging, 3rd Edition.
Welcome to the 2022 Summer school on deep learning for medical imaging, 3rd Edition.
This summer school will be held at the École de Technologie Supérieure (ETS), Montreal, Canada.
A school for who?
This school is intended for medical imaging beginners and experts (students, post-docs, research professionals, and professors) who are eager to discover the fundamentals of deep learning and how it translates to medical imaging. We will walk you through the basics of machine learning all the way to the latest deep learning breakthroughs applied to medical imaging. As shown in the planning, the school has both oral presentations (15 hours) and 3 hands-on sessions of 3 hours each. During the hands-on sessions, the participants will be guided through the dos and don'ts of machine learning programs for medical imaging. Please see the program for more details.
Should you be a machine learning / deep learning expert to attend the school? NO! That is the point of this school!
Should you be a programming expert to attend the hands-on session? NO! Only basic skills in Python programming are required.
We anticipate a maximum of approxiatively 70 participants. Don't wait too long before to register!
Important dates
February 1st, 2022: Registration opening
June 1st, 2022: Registration closing
July 4-8, 2022: Summer school
July 6, 2022: Evening event
Registration fees
TO BE DETERMINED
Fees include 5 days of classes and hands-on sessions, coffee breaks, lunches, welcome cocktail and evening event at the museum.
NO REFUND POLICY: Please note that we shall provide NO REFUND under any circumstances.
Previous editions
The previous editions of the school on deep learning for medical imaging were held in 2019 at the Université de Lyon, France and online in 2021. These schools were organized with the full logistic and financial support of the LabEx PRIMES and the CREATIS lab.
Organizing committee
- Olivier Bernard (Université de Lyon, CREATIS, LabEx PRIMES, France)
- Christian Desrosiers (École de technologie supérieure, Canada)
- Jose Dolz (École de technologie supérieure, Canada)
- Thomas Grenier (Université de Lyon, CREATIS, LabEx PRIMES, France)
- Pierre-Marc Jodoin (Université de Sherbrooke, Canada)
- Martin Vallières (Université de Sherbrooke, Canada)
Scientific committee
- Olivier Bernard (Université de Lyon, CREATIS, LabEx PRIMES, France)
- Christian Desrosiers (École de technologie supérieure, Canada)
- Jose Dolz (École de technologie supérieure, Canada)
- Thomas Grenier (Université de Lyon, CREATIS, LabEx PRIMES, France)
- Pierre-Marc Jodoin (Université de Sherbrooke, Canada)
- Carole Lartizien (Université de Lyon, CREATIS, LabEx PRIMES, France)
- Fabien Millioz (Université de Lyon, CREATIS, LabEx PRIMES, France)
- Michaël Sdika (Université de Lyon, CREATIS, LabEx PRIMES, France)
Sponsors
MICCAI Certification
This summer school is certified by the MICCAI Society
Lieu de l'événement
Ecole de technologie supérieure de Montréal
1111 Rue Notre-Dame Ouest Montréal, Québec Canada, H3C 1K3Période d'inscription
4 février 2022 - 12:00 AM jusqu'au 16 mai 2022 - 12:00 AM
Contactez-nous
Pour toute question sur l'événement, veuillez contacter: pierre-marc.jodoin@usherbrooke.ca .