Deep Learning for Medical Imaging School 2025

The 6th edition of the Deep Learning for Medical Imaging School is designed for both beginners and experts in medical imaging, including students, post-docs, research professionals, and professors. It offers an introduction to deep learning, covering fundamental concepts and their applications in medical imaging. The program includes 16 hours of oral presentations and four hands-on sessions (4 hours each). Participants will explore the basics of machine learning, progressing to the latest deep learning advancements in medical imaging. No expertise in machine learning or advanced programming skills is required to attend; a basic understanding of Python is sufficient for the hands-on sessions. Three attendance options are available: Full Registration (includes all courses, hands-on sessions, social events, meals, recorded sessions, and computing resources), Courses Only (on-site courses, recorded materials, coffee breaks, but no hands-on sessions, meals or social events), and Virtual Attendance (recorded sessions, computing resources, and live Q&A Zoom sessions on May 5-6). This school is organized by Labex PRIMES and INSA Lyon, and is a MICCAI endorsed event.