Refresher Courses: Imaging Informatics / Artificial Intelligence and Machine Learning

RC 1205 - Artificial intelligence (AI) trustworthiness: from black boxes to glass boxes

Lectures

1
Generative adversarial networks (GAN) in medical imaging

Generative adversarial networks (GAN) in medical imaging

10:00Ana Jiménez-Pastor, Valencia / ES

2
Minimum information about clinical artificial intelligence modelling: how to improve transparent reporting of AI algorithms

Minimum information about clinical artificial intelligence modelling: how to improve transparent reporting of AI algorithms

10:00Laurens Topff, Amsterdam / NL

3
Interpretability and explainability explained

Interpretability and explainability explained

10:00Bas H.M. van der Velden, Utrecht / NL

4
Panel discussion: AI trustworthiness: from black boxes to glass boxes

Panel discussion: AI trustworthiness: from black boxes to glass boxes

15:00Panel discussion: AI trustworthiness: from black boxes to glass boxes

5
Trustworthy models when data is scarce: a case for self supervised learning

Trustworthy models when data is scarce: a case for self supervised learning

10:00Stefano Trebeschi, Amsterdam / NL