Mathias Öttl

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Juniorprofessur für Artificial Intelligence in Medical Imaging Lehrstuhl für Informatik 5 (Mustererkennung)

Publications

(8)

Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation (2025) Öttl M, Wilm F, Steenpaß J, Qiu J, Rübner M, Fasching P, Maier A, et al. Unpublished / Preprint Analysing Diffusion Segmentation for Medical Images (2025) Öttl M, Mei S, Wilm F, Steenpaß J, Rübner M, Hartmann A, Beckmann M, et al. Unpublished / Preprint Rethinking U-net Skip Connections for Biomedical Image Segmentation (2025) Wilm F, Ammeling J, Öttl M, Fick RHJ, Aubreville M, Breininger K Unpublished / Preprint Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation (2023) Qiu J, Wilm F, Öttl M, Schlereth M, Liu C, Heimann T, Aubreville M, Breininger K Conference contribution, Conference Contribution Using Forestnets for Partial Fine-Tuning Prior to Breast Cancer Detection in Ultrasounds (2023) Rodriguez Salas D, Öttl M, Seuret M, Packhäuser K, Maier A Conference contribution, Original article Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks (2023) Öttl M, Steenpaß J, Rübner M, Geppert CI, Qiu J, Wilm F, Hartmann A, et al. Conference contribution Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset (2023) Wilm F, Fragoso M, Bertram CA, Stathonikos N, Öttl M, Qiu J, Klopfleisch R, et al. Conference contribution Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation (2022) Öttl M, Mönius J, Marzahl C, Rübner M, Geppert CI, Hartmann A, Beckmann M, et al. Conference contribution, Conference Contribution