SSE #16: "AI for image analysis in the medical and biomedical domains"

Participants will gain unrivaled expertise, progressing from foundational concepts to cutting-edge methodologies through a unique pedagogical approach:

·       Theoretical Mastery: Deep dive into the fundamentals of deep learning, convolutional neural networks (CNNs), and their specific applications in healthcare thank to 11h of lectures

·       Hands-On Application: move beyond theory with 3 practical tutorials using real-world datasets and state-of-the-art tools to solve actual medical challenges.

The event fosters a vibrant community by connecting academia with industry:

·       Junior Researcher Sessions: Two dedicated sessions will empower young researchers (PhD students, Poss-doctoral fellows, research engineers, ...) to present their latest results of their work , receive critical feedback from the global community, and accelerate their careers.

·       Industry Insights: Through our strategic partnership with the digital cluster Minalogic, attendees will explore practical applications and use cases that are shaping the future of digital health.

The curriculum covers the most pressing advancements in the field:

·       Foundations: Deep Learning & Convolutional Neural Networks (CNNs)

·       Advanced Learning: Self- & Semi-supervised learning for image analysis

·       Adaptability: Transfer learning and domain adaptation strategies

·       Generative AI: Data generation and Diffusion Models

·       Innovation: Physics-inspired neural networks

·       Dynamic Analysis: Video analysis and spatio-temporal data

·       Simulation: Digital Twins in healthcare

·       Ethics & Reliability: Trustworthy AI, Explainability, and Counterfactuals