Welcome to the 2020 Summer school on deep learning for medical imaging, 2nd Edition.

 

This summer school will be held at the École de Technologie Supérieure (ETS), Montreal, Canada is organized in conjunction with MIDL 2020.

 

COVID 19

 

As we all know, the COVID 19 pandemic is an unprecedented situation that evolves rapidly. As of today (March 20) a limited number of people have been infected in Québec Province (121 cases) and the three levels of government (federal, provincial, and municipal) took swift decisions to mitigate the spread (case isolation, home quarantine, social distancing, school/university closure, etc).

 

Considering that the summer school will be held at the end of June, it is too early as of today to decide whether to cancel the school or not. However, a final decision will be made by mid-April based on the recommendations of the local, provincial and federal authorities.

 

In the event of a cancellation, please be assure that each and every student already registered to the school will be reimbursed (minus the international transaction + currency conversion fees which are beyond our control).

 

That said, we encourage the student who already registered to keep on the procedures for obtaining a visa.

 

Yours truly,

 

The organizing committee.

 

 

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 leanrning 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 100 participants.  Don't wait too long before to register!

 

Important dates

 

February 21,  2020 Registration opening
June 1st, 2020 Registration closing
June 29-30, July 2-3, 2020 Spring school
July 1st, 2020 National holyday, no school
July 2nd, 2020 Evening/dinner at the Museum

 

NOTE: July 1st is a national holyday during which the ETS will be closed.  We thus encourage you to visit the town that day and to join us during the in the evening at the Museum for a cocktail dinner (c.f. the program for more details).

 

Registration fees

 

  Students Non students
Before May 8, 2020 375 CAN$ 475 CAN$
After May 8, 2020 410 CAN$ 510 CAN$

 

Fees include 4 days of classes and hands-on sessions, coffee breaks, lunchs, welcome cocktail and evening event at the museum

 

IMPORTANT NOTE : The following registration fees might be subject to slight modifications before the registration opening.

NO REFUND POLICY: Please note that we shall provide NO REFUND under any circumstances.

 

First edition

 

The first edition of the school on deep learning for medical imaging was held in 2019 at the Université de Lyon, France with the full logistic and financial support of the LabEx PRIMES and the CREATIS lab.

 

Organizing committee

 

 

Scientific committee

 

 

 

Affiliated institutions

 

 

 

 

 

 

 

Sponsors

      Centre de recherche du CHUS 

June 29 - July 3 2020

Ecole de technologie supérieure de Montréal
1111 Rue Notre-Dame Ouest
Montréal, Québec
Canada, H3C 1K3

Registrations
February 21, 2020 00:00 EST to June 1, 2020 00:00 EDT