Stitching Pathological Tissue Images using DOP Feature Tracking. - Matthias Bergler; Maximilian Weiherer; Tobias Bergen; Malte Avenhaus; David Rauber; Thomas Wittenberg; Christian Münzenmayer; Michaela Benz (Bildverarbeitung für die Medizin, 2018)

Automatic Detection of Tumor Buds in Pan-Cytokeratin Stained Colorectal Cancer Sections by a Hybrid Image Analysis Approach. - Matthias Bergler; Michaela Benz; David Rauber; David Hartmann; Malte Kötter; Markus Eckstein; Regine Schneider-Stock; Arndt Hartmann; Susanne Merkel; Volker Bruns; Thomas Wittenberg; Carol Geppert (ECDP, 2019)

Semi-supervised Segmentation Based on Error-Correcting Supervision. - Robert Mendel; Luis Antônio de Souza; David Rauber; João Paulo Papa; Christoph Palm (ECCV (29), 2020)

2018 Robotic Scene Segmentation Challenge. - Max Allan; Satoshi Kondo; Sebastian Bodenstedt; Stefan Leger; Rahim Kadkhodamohammadi; Imanol Luengo; Félix Fuentes-Hurtado; Evangello Flouty; Ahmed Kedir Mohammed; Marius Pedersen; Avinash Kori; Alex Varghese; et al. (CoRR, 2020)

Abstract: Semi-supervised Segmentation Based on Error-correcting Supervision. - Robert Mendel; Luis Antônio de Souza Júnior; David Rauber; João Paulo Papa; Christoph Palm (Bildverarbeitung für die Medizin, 2021)

Analysis of Celiac Disease with Multimodal Deep Learning. - David Rauber; Robert Mendel; Markus W. Scheppach; Alanna Ebigbo; Helmut Messmann; Christoph Palm (Bildverarbeitung für die Medizin, 2022)

Exploring the Effects of Contrastive Learning on Homogeneous Medical Image Data. - Robert Mendel; David Rauber; Christoph Palm (Bildverarbeitung für die Medizin, 2023)

Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation. - Robert Mendel; David Rauber; Luis Antônio de Souza; João P. Papa; Christoph Palm (Comput. Biol. Medicine, 2023)

Data Augmentation for Images of Chronic Foot Wounds. - Max Gutbrod; Benedikt Geisler; David Rauber; Christoph Palm (Bildverarbeitung für die Medizin, 2024)

Layer-selective deep representation to improve esophageal cancer classification. - Luis Antônio de Souza; Leandro A. Passos; Marcos Cleison S. Santana; Robert Mendel; David Rauber; Alanna Ebigbo; Andreas Probst; Helmut Messmann; João Paulo Papa; Christoph Palm (Medical Biol. Eng. Comput., 2024)

Self-supervised 3D Vision Transformer Pre-training for Robust Brain Tumor Classification. - Danilo Weber Nunes; David Rauber; Christoph Palm (Bildverarbeitung für die Medizin, 2025)

OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection. - Max Gutbrod; David Rauber; Danilo Weber Nunes; Christoph Palm (CVPR, 2025)

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge. - Tobias Rueckert; David Rauber; Raphaela Maerkl; Leonard Klausmann; Suemeyye R. Yildiran; Max Gutbrod; Danilo Weber Nunes; Alvaro Fernandez Moreno; Imanol Luengo; Danail Stoyanov; Nicolas Toussaint; Enki Cho; et al. (CoRR, 2025)