Combining Good Old Random Forest and DeepLabv3+ for ISLES 2018 CT-Based Stroke Segmentation. - Lasse Böhme; Frederic Madesta; Thilo Sentker; René Werner (BrainLes@MICCAI (1), 2018)

GDL-FIRE ^ text 4D : Deep Learning-Based Fast 4D CT Image Registration. - Thilo Sentker; Frederic Madesta; René Werner (MICCAI (1), 2018)

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)

Patient-specific 4D Monte Carlo dose accumulation using correspondence-model-based motion prediction. - Thilo Sentker; Frederic Madesta; René Werner (Image-Guided Procedures, 2019)

Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction. - Frederic Madesta; Tobias Gauer; Thilo Sentker; René Werner (Image Processing, 2019)

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)

Deep learning-based conditional inpainting for restoration of artifact-affected 4D CT images. - Frederic Madesta; Thilo Sentker; Tobias Gauer; René Werner (CoRR, 2022)

Oriented histogram-based vector field embedding for characterizing 4D CT data sets in radiotherapy. - Frederic Madesta; Lukas Wimmert; Tobias Gauer; René Werner; Thilo Sentker (CoRR, 2024)

Beyond the LUMIR challenge: The pathway to foundational registration models. - Junyu Chen 002; Shuwen Wei; Joel Honkamaa; Pekka Marttinen; Hang Zhang; Min Liu; Yichao Zhou; Zuopeng Tan; Zhuoyuan Wang; Yi Wang; Hongchao Zhou; Shunbo Hu; et al. (CoRR, 2025)