BE-WISE: Breast MRI Evaluation with Weakly-Informed Slice-level Explanation
German Conference on Medical Image Computing (BVM) / 2026 / conference
Bhandary Panambur A, Nguyen T-T, Bayer S, Maier A
conference / 2026
Medical AI visual summary
Scientific summary
BE-WISE studies weakly informed slice-level explanation for breast MRI, focusing on interpretable evidence localization within volumetric exams.
Abstract
BE-WISE is an accepted BVM 2026 paper on explainable AI for breast MRI with weakly informed slice-level explanation.
Why it matters
Slice-level interpretability can support clinical review of breast MRI AI outputs by making the evidence basis of a prediction more inspectable.
Contribution
The public BVM/FAU information identifies the contribution as slice-level interpretability for breast MRI.
Method overview
TODO: Add the detailed weakly informed explanation pipeline after the public paper is available.
Key findings
- Accepted for BVM 2026 oral presentation.
- Public FAU news states that it advances explainable AI in breast MRI.
- TODO: Add quantitative results after publication.
Citation
Bhandary Panambur A, Nguyen T-T, Bayer S, Maier A. (2026). BE-WISE: Breast MRI Evaluation with Weakly-Informed Slice-level Explanation. German Conference on Medical Image Computing (BVM).
TODO: Add BibTeX.