Our paper ‘Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors’, by Bortsova, González-Gonzalo, Wetstein et al. is now available online in Medical Image Analysis. […]
The AI for Oncology Lab establishes a collaboration between the University of Amsterdam (UvA) and the Netherlands Cancer Institute (NKI) with the aim of creating an […]
On June 9 2021, Ivana Isgum presents in the online 2021 SCCT Innovation series on AI/ML in Coronary Artery Disease. In her presentation titled Deep learning for automation […]
On May 19, 2021 Ivana Isgum is a guest speaker at a Stanford seminar series convened by the Integrated Biomedical Imaging Informatics at Stanford (IBIIS) division […]
On 06 May 2021, Ivana Isgum presents on Basics of deep learning in online 2021 SCCT Innovation series on AI/ML. With excellent speakers, the webinar covers […]
Coen de Vente and Cristina González-Gonzalo will be presenting their work during the corresponding Poster Sessions at the Association for Research in Vision and Ophthalmology (ARVO) […]
Clarisa Sánchez introduced the new AI in Oncology Lab during the first ICAI Day, on 22nd April 2021. This lab establishes a collaboration between the University […]
Our paper ‘Deep Learning–Quantified Calcium Scores for Automatic Cardiovascular Mortality Prediction at Lung Screening Low-Dose CT’ by De Vos et al. has been published in Radiology: […]