Date: 5 May
Time: 1 p.m.
Venue: PA2 Amphitheatre, Mathematics Building, Alameda Campus
Speaker: João Santinha (Champalimaud Foundation)
Title: “Machine learning in high-stake medical imaging tasks”
Abstract:
Medical imaging is a pillar of healthcare supporting screening, diagnosis, treatment planning and assessment, as well as follow-up. However, due to changes in acquisition systems, data shortage caused by privacy concerns, among other, developed machine learning models often lack generalizability. In this talk we will see how the invariance property of causal structures may be used to improve generalizability, covering application in tabular data obtained from images, deep learning approaches and the use of generative AI to promote such several approaches may be used for tabular data.
Speaker bio:
João Santinha, PhD, is a researcher specializing in medical imaging, biomarkers, and artificial intelligence. He co-leads the Digital Surgery Lab. Dr. Santinha completed his PhD at Instituto de Telecomunicações – Instituto Superior Técnico, University of Lisbon. He is also an Invited Assistant Professor at the Faculty of Medicine of the University of Lisbon.
His work focuses on developing AI-driven tools to enhance surgical precision and personalize screening, diagnosis, treatments and follow-up through imaging and non-imaging data.
Priberam is a member of the IST Spin-Off Community®.
The Priberam Machine Learning Lunch Seminars are free of charge. Prior registration is required.
