Seminario del 2025

Giugno
09
2025
Julian Tachella
Self-supervised learning methods for imaging
nel ciclo di seminari: INTERNATIONAL PH.D. SUMMER SCHOOL MATHEMATICS AND MACHINE LEARNING FOR IMAGE ANALYSIS
analisi numerica
This seminar will cover some concepts and recent advances in the emerging field of self-supervised learning methods for solving imaging inverse problems with deep neural networks. Self-supervised learning is a fundamental tool deploying deep learning solutions in scientific and medical imaging applications where obtaining a large dataset of ground-truth images is very expensive or impossible. The seminar will present different self-supervised methods, discuss their theoretical underpinnings and present practical self-supervised imaging applications. Finally, I will discuss my experience developing and collaborating on open-source software for science (https://deepinv.github.io/), and some of the lessons learned along the way.
organizzato da: Serena Morigi - Alessandro Lanza ERASMUS BIP
nell'ambito del Progetto Numerical Methods for surface and image processing del prof. Serena Morigi

indietro