NET-AI. Workshop 3: “Deep learning for biomedical applications: fundamentals, trustworthiness and explainability”
Friday, June 27 @ 9:30 am–4:30 pm
This third workshop will focus on Deep Learning. It will start with an introductory session where the fundamental concepts of the subject will be presented, which will then be put into practice during a hands-on activity focused on biomedical imaging. Then, two more sessions with international speakers will address critical issues such as trustworthiness and explainability of these models, two crucial aspects in the biomedical field.
Schedule programme:
9:40 – Registration
9:50 – Welcome from Network Coordinator
10:00 – Invited national speaker: Petia Radeva, University of Barcelona (UB), “Deep learning – why everybody talks about it?”
11:00 – Coffee break
11:30 – Invited national speaker: Roser Sala-Llonch, University of Barcelona, “Deep Learning in Biomedical Imaging: Hands-on with Neural Networks and CNNs” Practical activity – own computer required
13:30 – Lunch
14:15 – Invited international speaker: Lorin Werthen-Brabants, Ghent University, “Trustworthy and Reliable (Deep) Machine Learning for Healthcare”
15:15 – Invited international speaker: Aray Karjauv, University of Berlin, “Explainability Beyond Labels: Why We Need XAI for Self-Supervised Learning”
16:15 – Final remarks and closing
To registres click here
