1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning
Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann +2
Explaining predictions of black-box neural networks is crucial when applied to decision-critical tasks. Thus, attribution maps are commonly used to identify important image regions…
eess.IV2022★ 1 cited
Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs
Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl +3
Alzheimer's Disease (AD) is the most common form of dementia and often difficult to diagnose due to the multifactorial etiology of dementia. Recent works on neuroimaging-based comp…