Mathias Öttl

According to our database, Mathias Öttl authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Analysing Diffusion Segmentation for Medical Images.

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

CoRR, 2024

Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation.

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

CoRR, 2024

Rethinking U-net Skip Connections for Biomedical Image Segmentation.

Frauke Wilm, Jonas Ammeling, Mathias Öttl, Rutger H. J. Fick, Marc Aubreville, Katharina Breininger

CoRR, 2024

Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation.

Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation.

Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology.

Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Using Forestnets for Partial Fine-Tuning Prior to Breast Cancer Detection in Ultrasounds.

Dalia Rodríguez-Salas, Mathias Öttl, Mathias Seuret, Kai Packhäuser, Andreas Maier

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks.

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset.

Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks.

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

CoRR, 2022

An unobtrusive quality supervision approach for medical image annotation.

Sonja Kunzmann, Mathias Öttl, Prathmesh Madhu, Felix Denzinger, Andreas K. Maier

CoRR, 2022

Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation.

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

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022