DLMI23: Fourth edition of the Deep learning for medical imaging school – Lyon April 17-21 2023
https://deepimaging2023.sciencesconf.org/
DeepImaging 2023 is organized by the LabEx Primes, Creatis, LabHC laboratories, the University of Sherbrooke and the ETS of Montreal. 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 (16 hours) and 4 hands-on sessions (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 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 approximately 70 participants. Due to space limitation, a selection process will be applied to attendees.
FLI fellowships are available (see procedure online).
To pre-register, please send a CV and a short letter of motivation describing your activities to the following address: labex-primes-admin[@]ip2i.in2p3.fr before February 17 2023. The number of available places is limited to 70 participants.