1 citations · 2 across the 16 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
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…
cs.CV2023
Abdominal organ segmentation via deep diffeomorphic mesh deformations
Fabian Bongratz, Anne-Marie Rickmann, Christian Wachinger
Abdominal organ segmentation from CT and MRI is an essential prerequisite for surgical planning and computer-aided navigation systems. It is challenging due to the high variability…