2 papers
eess.IV2026
Triggering hallucinations in model-based MRI reconstruction via adversarial perturbations
Suna BuÄday, Yvan Saeys, Jonathan Peck
Generative models are increasingly used to improve the quality of medical imaging, such as reconstruction of magnetic resonance images and computed tomography. However, it is well-…
cs.LG2024
Unifying Attribution-Based Explanations Using Functional Decomposition
Arne Gevaert, Yvan Saeys
The black box problem in machine learning has led to the introduction of an ever-increasing set of explanation methods for complex models. These explanations have different propert…