Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting. - Nils Gessert; Thilo Sentker; Frederic Madesta; Rüdiger Schmitz; Helge Kniep; Ivo M. Baltruschat; René Werner; Alexander Schlaefer (CoRR, 2018)

Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture. - Rüdiger Schmitz; Frederic Madesta; Maximilian Nielsen; René Werner; Thomas Rösch (CoRR, 2019)

Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies. - Frederic Madesta; Rüdiger Schmitz; Thomas Rösch; René Werner (MICCAI (4), 2020)

Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting. - Nils Gessert; Thilo Sentker; Frederic Madesta; Rüdiger Schmitz; Helge Kniep; Ivo M. Baltruschat; René Werner; Alexander Schlaefer (IEEE Trans. Biomed. Eng., 2020)

Abstract: Widening the Focus - Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies. - Frederic Madesta; Rüdiger Schmitz; Thomas Rösch; René Werner (Bildverarbeitung für die Medizin, 2021)

Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture. - Rüdiger Schmitz; Frederic Madesta; Maximilian Nielsen; Jenny Krause; Stefan Steurer; René Werner; Thomas Rösch (Medical Image Anal., 2021)

Reinforcement learning-basierte Patchpriorisierung zur beschleunigten Segmentierung von hochauflösenden Endoskopievideodaten. - Samuel Schüttler; Frederic Madesta; Thomas Rösch; René Werner; Rüdiger Schmitz (Bildverarbeitung für die Medizin, 2022)

Segmenting Medical Instruments in Minimally Invasive Surgeries using AttentionMask. - Christian Wilms; Alexander Michael Gerlach; Rüdiger Schmitz; Simone Frintrop (CoRR, 2022)

Extending Tempcyclegan for Virtual Augmentation of Gastrointestinal Endoscopy Training Simulators. - Moritz Wallrodt; Maximilian Schulz-Alsen; Hanno Ehlken; Thomas Rösch; Rüdiger Schmitz; René Werner (Bildverarbeitung für die Medizin, 2023)

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge. - Aneeq Zia; Kiran Bhattacharyya; Xi Liu; Max Berniker; Ziheng Wang 003; Rogerio Nespolo; Satoshi Kondo; Satoshi Kasai; Kousuke Hirasawa; Bo Liu; David Austin; Yiheng Wang; et al. (CoRR, 2023)