Prof. Dr.-Ing. Katharina Breininger



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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Analyzing and adapting diffusion segmentation behavior for medical images (2026) Öttl M, Mei S, Wilm F, Qiu J, Steenpaß J, Rübner M, Hartmann A, et al. Journal article Faster, Self-supervised Super-Resolution for Anisotropic Multi-view MRI Using a Sparse Coordinate Loss (2026) Schlereth M, Schillinger M, Breininger K Conference contribution Decomposition Sampling for Efficient Region Annotations in Active Learning (2026) Qiu J, Wilm F, Öttl M, Utz J, Schlereth M, Aubreville M, Breininger K Unpublished / Preprint The explainable AI dilemma under knowledge imbalance in specialist AI for glaucoma referrals in primary care (2025) Gomez C, Wang R, Breininger K, Casey C, Bradley C, Pavlak M, Pham A, et al. Journal article Stochastic latent feature distillation: Enhancing dataset distillation via structured uncertainty modeling (2025) Li Z, Cechnicka S, Ouyang C, Breininger K, Schüffler P, Kainz B Journal article Addressing data scarcity in nanomaterial segmentation networks with differentiable rendering and generative modeling (2025) Possart D, Mill L, Vollnhals F, Hildebrand T, Suter P, Hoffmann M, Utz J, et al. Journal article Learning-based autonomous navigation, benchmark environments and simulation framework for endovascular interventions (2025) Karstensen L, Robertshaw H, Hatzl J, Jackson B, Langejürgen J, Breininger K, Uhl C, et al. Journal article Fully automatic HER2 tissue segmentation for interpretable HER2 scoring (2025) Öttl M, Steenpaß J, Wilm F, Qiu J, Rübner M, Lang-Schwarz C, Taverna C, et al. Journal article Abstract: Leveraging Image Captions for Selective Whole Slide Image Annotation (2025) Qiu J, Aubreville M, Wilm F, Öttl M, Utz J, Schlereth M, Breininger K Conference contribution Artificial intelligence can be trained to predict c-KIT-11 mutational status of canine mast cell tumors from hematoxylin and eosin-stained histological slides (2025) Puget C, Ganz J, Ostermaier J, Conrad T, Parlak E, Bertram CA, Kiupel M, et al. Journal article