Welcome to the 6th DLMI edition!

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 to the latest deep learning breakthroughs applied to medical imaging. As shown in the planning, the school has oral presentations (16 hours) and 4 hands-on sessions of 4 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 not the point of this school!

To attend the hands-on session, you do not need to be a programming expert. Only basic skills in Python programming are required.

We anticipate a maximum of approximately 70 participants. Don't wait too long before to register!

Important dates

• 20th of January  2025                                    Registration opening (onsite and asynchronous),
• 1th of April 2025                                             Onsite registration closing
• 10th of April 2025                                           Asynchronous registration closing
• April 21-25 2025                                             Onsite spring school
• May 5 and 6 2025                                           Asynchronous Hands-on support session

Scientific Committee

Olivier Bernard, Christian Desrosiers, Nicolas Duchateau, Nicolas Ducros, Carole Frindel, Thomas Grenier, Pierre-Marc Jodoin, Hamid Ladjal, Carole Lartizien, Odyssée Merveille, Fabien Millioz, Bruno Montcel, Michaël Sdika, Valentine Wargnier-Dauchelle

Local organization committee

Olivier Beuf, Denis Dauvergne, Thomas Grenier, Chiara Mascia, Bruno Montcel, Stéphane Mottin,  Michaël Sdika, Valentine Wargnier-Dauchelle

School Sponsors

We would also like to thank our sponsors for their generous contributions.