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 (Bildverarbeitung für die Medizin, 2022)

An unobtrusive quality supervision approach for medical image annotation. - Sonja Kunzmann; Mathias Öttl; Prathmesh Madhu; Felix Denzinger; Andreas K. Maier (CoRR, 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)

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 (Bildverarbeitung für die Medizin, 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 001; Ramona Erber; Katharina Breininger (ISBI, 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 001 (ISBI, 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 001; Marc Aubreville; Katharina Breininger (ISBI, 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 (MICCAI (2), 2023)

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 (Bildverarbeitung für die Medizin, 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 Maier 001; Ramona Erber; Bernhard Kainz; Katharina Breininger (ECCV (75), 2024)

Leveraging Image Captions for Selective Whole Slide Image Annotation. - Jingna Qiu; Marc Aubreville; Frauke Wilm; Mathias Öttl; Jonas Utz; Maja Schlereth; Katharina Breininger (MICCAI (12), 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)

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)

Domain and Content Adaptive Convolutions for Cross-Domain Adenocarcinoma Segmentation. - Frauke Wilm; Mathias Öttl; Marc Aubreville; Katharina Breininger (CoRR, 2024)

Abstract: Leveraging Image Captions for Selective Whole Slide Image Annotation. - Jingna Qiu; Marc Aubreville; Frauke Wilm; Mathias Öttl; Jonas Utz; Maja Schlereth; Katharina Breininger (Bildverarbeitung für die Medizin, 2025)

A COCO-Formatted Instance-Level Dataset for Plasmodium Falciparum Detection in Giemsa-Stained Blood Smears. - Frauke Wilm; Luis Carlos Rivera Monroy; Mathias Öttl; Lukas Mürdter; Leonid Mill; Andreas K. Maier (CoRR, 2025)