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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
Our paper ‘Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age‐related macular degeneration’, by González-Gonzalo et al, has been […]