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Our NEWS

July 9, 2020

Interpretability of Machine Intelligence in Medical Image Computing 2020

We are co-organizing a workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2020 on October 4, 2020 For details please follow this link.
June 24, 2020

Eye Lab’s research on AI explainability highlighted by Radboudumc

Eye Lab’s research on AI explainability has been featured in the website of Radboudumc. In the recent publication by González-Gonzalo et al in IEEE Transactions on Medical […]
May 28, 2020

New publication of the Eye Lab in IEEE Transactions on Medical Imaging

Our paper ‘Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images’, by González-Gonzalo et al, has been […]
May 7, 2020

Eye Lab at ARVO 2020

Coen de Vente has presented his latest work on “Estimating Uncertainty of Deep Neural Networks for Age-related Macular Degeneration Grading using Optical Coherence Tomography” at the […]
March 9, 2020

RSNA reports about our recent calcium scoring paper

RSNA report about our recent paper on calcium scoring based on the interview with Sanne van Velzen is available here.
February 21, 2020

Sanne van Velzen receives Best Student Paper award at SPIE MI 2020

Sanne receives award for her work on Coronary Artery Calcium Scoring: Can we do Better? proposing to score coronary calcium without thresholding
February 15, 2020

New publication of the Eye Lab in Ophthalmology

Our paper ‘A Deep Learning Model for Segmentation of Geographic Atrophy to Study its Long-Term Natural History’, by Liefers et al, has been published in Ophthalmology. In […]
December 10, 2019

PhD defense of Freerk Venhuizen from the Eye Lab

Freerk Venhuizen has been awarded the title of Doctor by the Radboud University of Nijmegen after defending his PhD thesis, titled “Machine Learning for Quantification of […]
December 9, 2019

RSNA 2019 Certificate of Merit for our educational exhibit on GANs

Our educational exhibit on Generative Adversarial Networks (GANs): A Primer for Radiologists has received a Certificate of Merit award at the annual meeting of the Radiological Society of […]