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Speaker: Ruben Pauwels, AIAS Fellow and Associate Professor

Abstract

A.I. is the hottest topic in radiology at the moment. Thanks to the availability of large, digital datasets, as well as recent developments in deep learning and increased computational power, researchers are exploring potential applications of A.I. in medicine, including computer-aided diagnosis. This lecture will provide a broad overview of different A.I. concepts, illustrate how an A.I. system is ‘trained’, and discuss various clinical applications of A.I. in medicine based on published and on-going research.

Short bio

Ruben Pauwels is a Biomedical Scientist with over 10 years of experience in medical imaging research. After obtaining a PhD at KU Leuven (Belgium) in 2012, he spent over 3 years at Chulalongkorn University (Thailand) as a lecturer, followed by another period at KU Leuven as a postdoctoral researcher. Currently, his main research interests comprise 3D image quality assessment, CNN-based deep learning, CT reconstruction artefacts and medical radiation protection.

See Ruben Pauwels' project at AIAS

What is an AIAS Seminar?

The AIAS Seminar is a session of seminars held by the AIAS fellow or by other speakers proposed by the fellows. In each seminar, one fellow will present and discuss his/her current research and research project, closing off with a question and discussion session.

All seminars are held in English and open to the public. Registration to the seminar is not necessary.