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Reduan Achtibat
Reduan Achtibat
Verified email at hhi.fraunhofer.de
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From attribution maps to human-understandable explanations through concept relevance propagation
R Achtibat, M Dreyer, I Eisenbraun, S Bosse, T Wiegand, W Samek, ...
Nature Machine Intelligence 5 (9), 1006-1019, 2023
72*2023
Towards trustworthy AI in dentistry
J Ma, L Schneider, S Lapuschkin, R Achtibat, M Duchrau, J Krois, ...
Journal of Dental Research 101 (11), 1263-1268, 2022
252022
Revealing hidden context bias in segmentation and object detection through concept-specific explanations
M Dreyer, R Achtibat, T Wiegand, W Samek, S Lapuschkin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
92023
Understanding the (extra-) ordinary: Validating deep model decisions with prototypical concept-based explanations
M Dreyer, R Achtibat, W Samek, S Lapuschkin
arXiv preprint arXiv:2311.16681, 2023
42023
AttnLRP: Attention-aware Layer-wise Relevance Propagation for Transformers
R Achtibat, SMV Hatefi, M Dreyer, A Jain, T Wiegand, S Lapuschkin, ...
arXiv preprint arXiv:2402.05602, 2024
12024
Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification
C Tinauer, A Damulina, M Sackl, M Soellradl, R Achtibat, M Dreyer, ...
arXiv preprint arXiv:2404.10433, 2024
2024
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Articles 1–6