Mathias Öttl

24 papers Journal 14Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analyzing and adapting diffusion segmentation behavior for medical images.
Biomed. Signal Process. Control.
Mathias Öttl, Siyuan Mei, Frauke Wilm, Jingna Qiu, Jana Steenpass, Matthias Rübner, Arndt Hartmann, Hanna Hübner, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger
2025 J jnl
A COCO-Formatted Instance-Level Dataset for Plasmodium Falciparum Detection in Giemsa-Stained Blood Smears.
CoRR
Frauke Wilm, Luis Carlos Rivera Monroy, Mathias Öttl, Lukas Mürdter, Leonid Mill, Andreas K. Maier
2025 — conf
Abstract: Leveraging Image Captions for Selective Whole Slide Image Annotation.
Bildverarbeitung für die Medizin
Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger
2025 J jnl
Decomposition Sampling for Efficient Region Annotations in Active Learning.
CoRR
Jingna Qiu, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Moritz Schillinger, Marc Aubreville, Katharina Breininger
2024 — conf
Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation.
Bildverarbeitung für die Medizin
Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger
2024 J jnl
Analysing Diffusion Segmentation for Medical Images.
CoRR
Mathias Öttl, Siyuan Mei, Frauke Wilm, Jana Steenpass, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger
2024 J jnl
Domain and Content Adaptive Convolutions for Cross-Domain Adenocarcinoma Segmentation.
CoRR
Frauke Wilm, Mathias Öttl, Marc Aubreville, Katharina Breininger
2024 — conf
Leveraging Image Captions for Selective Whole Slide Image Annotation.
MICCAI (12)
Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger
2024 J jnl
Leveraging image captions for selective whole slide image annotation.
CoRR
Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger
2024 J jnl
Rethinking U-net Skip Connections for Biomedical Image Segmentation.
CoRR
Frauke Wilm, Jonas Ammeling, Mathias Öttl, Rutger H. J. Fick, Marc Aubreville, Katharina Breininger
2024 J jnl
Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation.
CoRR
Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger
2024 — conf
Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation.
ECCV (75)
Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger
2023 — conf
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation.
MICCAI (2)
Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger
2023 J jnl
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation.
CoRR
Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger
2023 — conf
Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks.
ISBI
Mathias Öttl, Jana Steenpass, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger
2023 — conf
Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology.
ISBI
Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger
2023 J jnl
Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset.
CoRR
Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
2023 — conf
Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset.
Bildverarbeitung für die Medizin
Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
2023 — conf
Using Forestnets for Partial Fine-Tuning Prior to Breast Cancer Detection in Ultrasounds.
ISBI
Dalia Rodríguez-Salas, Mathias Öttl, Mathias Seuret, Kai Packhäuser, Andreas Maier
2022 J jnl
An unobtrusive quality supervision approach for medical image annotation.
CoRR
Sonja Kunzmann, Mathias Öttl, Prathmesh Madhu, Felix Denzinger, Andreas K. Maier
2022 J jnl
Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks.
CoRR
Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger
2022 J jnl
Mind the Gap: Scanner-induced domain shifts pose challenges for representation learning in histopathology.
CoRR
Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Marc Aubreville, Katharina Breininger
2022 J jnl
Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation.
CoRR
Mathias Öttl, Jana Mönius, Christian Marzahl, Matthias Rübner, Carol I. Geppert, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger
2022 — conf
Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation.
Bildverarbeitung für die Medizin
Mathias Öttl, Jana Mönius, Christian Marzahl, Matthias Rübner, Carol I. Geppert, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger