Hogeschool van Amsterdam

Centre of Expertise Applied Artificial Intelligence

Responsible AI Lab @BNAIC

Month of the AAI | Webinar


The annual Benelux Conference on Artificial Intelligence and Machine Learning has decades-long history of bringing together researchers and practitioners from all fields of AI to exchange novel scientific findings, as well as new developments in applied AI, business, and industry.

This year, the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020) are organized as a joint conference by Leiden University, under the auspices of the Benelux Association for Artificial Intelligence (BNVKI) and the Dutch Research School for Information and Knowledge Systems (SIKS).

BNAIC/BENELEARN 2020 will be held online, as a two-day event: from Thursday 19 to Friday 20 November, 2020. BNAIC/ BENELEARN 2020 will include invited speakers, research presentations, posters and demonstrations. The two-day conference will provide ample opportunity for interaction between academics and businesses: academics are also encouraged to join the business sessions, and vice versa.

Paper presentations

During the scientific part of this conference, students and researchers present papers, extended abstracts of recent scientific publications, and Bachelor/Master theses. Additionally, keynote speakers share the newest insights from the world of AI, researchers present posters, and both academics and companies present demonstrations of AI products and systems. Naturally, there is ample opportunity for networking.

Pascal Wiggers, expert of the Responsible AI Lab of the Expertise Centre Applied Artificial Intelligence (ECAAI), will present a paper, together with Joel Ruhe and Valeriu Codreanu. Their presentation is about 'Large Cone Beam CT Image Scan Quality Improvement Using a Deep Learning U-Net Model'. Cone beam CT scanners use much less radiation than to normal CT scans. However, compared to normal CT scans the images are noisy, showing several artifacts. The UNet Convolutional Neural Network may provide a way to reconstruct the CT image from cone beam scans.

More information about the study concerned can be found in this PDF and poster .

About the Expertise Centre Applied Artificial Intelligence

ECAAI encompasses all of the HvA's AI research and education activities. This centre drives the development of applications of AI technology in a responsible and inclusive manner. AI technology and its implications for companies, organisations, governments and people can only be understood in context and through experimentation. Each faculty of the HvA has created a lab that brings research, education and practices together to solve short and middle term challenges in the application of AI. The Responsible AI Lab of Pascal Wiggers belongs to the Faculty of Digital Media and Creative Industries.

Get to know the Expertise Centre Applied Artificial Intelligence (ECAAI) of the Amsterdam University of Applied Sciences! Launched in January 2020, ECAAI has turned November in the Month of the AAI, in which it will present itself and its labs officially. All activities are listed here.


Start date 19 Nov 2020


12:45 - 14:15


Liza Verheijke (appliedai@hva.nl)