-
GRADUATE STUDIES
- • STUDYING AT MANUTECH SLEIGHT
-
MSc in Optics, Image, Vision, Multimedia (OIVM)
-
iPSRS - Intelligent Photonics for Security, Reliability, Sustainability and Safety
- PSRS - Partner universities
- RADMEP - Radiation and its Effects on MicroElectronics and Photonics Technologies
- COSI - Computational Colour and Spectral Imaging
- IMLEX - Imaging & Light in Extended Reality
- AIMA - Advanced Imaging & Material Appearance
- PE - Photonics Engineering
-
iPSRS - Intelligent Photonics for Security, Reliability, Sustainability and Safety
- MSc in Computer Science
- MSc in Health Engineering
- Engineering schools' research tracks
- Doctoral studies
- Training through research
- Opportunities
- Admission and aid
- OPTICA student chapter
-
RESEARCH & INNOVATION
-
SCIENTIFIC EVENTS
- • News and about
-
The SLEIGHT Science Events
- SSE #13 - SLEIGHT in 2025
- SSE #12 - Imaging in Manutech-SLEIGHT
- SSE #11 - SLEIGHT in 2024
- SSE #10 - Sustainable Surface Engineering
- SSE #09 - SLEIGHT in 2023
- SSE #08 - Photonics for Health
- SSE #07 - SLEIGHT in 2022
- SSE #06 - Machine Learning
- SSE #05 - SLEIGHT in 2021
- SSE #03 - SLEIGHT in 2020
- SSE #02 - Material Appearance
- SSE #01 - Topics and stakeholders
- Manutech-SLEIGHT Awards
- Scientific conferences
- Events in partnership with Manutech-SLEIGHT
- CAMPUS LIFE
- ABOUT US
- NEWSLETTER
You are here : EUR MANUTECH SLEIGHT
-
Partager cette page
DeepImaging 2023
From April 17, 2023 to April 21, 2023
Fourth edition of the Deep learning for medical imaging school
DeepImaging 2023 is organized by the LabEx Primes, Creatis and Hubert Curien 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 approxiatively 70 participants. Due to space limitation, a selection process were applied to attendees.
FLI fellowships are available (see procedure online).
More info: https://deepimaging2023.sciencesconf.org/
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. Due to space limitation, a selection process were applied to attendees.
FLI fellowships are available (see procedure online).
More info: https://deepimaging2023.sciencesconf.org/
To read as well
- 15 JUL12th SLEIGHT Science Event: 3 days dedicated to the topic “Imaging in Manutech-SLEIGHT"
- 13 MARJean-Philippe Colombier, laureate of the 2023 Paul Langevin Prize! (Société Française de Physique)
Professor Jean-Philippe Colombier is the Axis #1 leader of our Graduate School and a member of our Scientific Committee has been awarded for his research in theorical physics.
- 26 FEB► REPLAY - SSE #11 - Pitch Session
Master students from the AIMA/IOGS, MLDM, Photonics Engineering and PSRS master programmes presented a pitch during our winter edition of the SLEIGHT Science Event.