Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study. - René Werner; Daniel Schetelig; Thilo Sothmann; Eike Mücke; Matthias Wilms; Bastian Cheng; Nils Daniel Forkert (Bildverarbeitung für die Medizin, 2017)

Einfluss nicht-rigider Bildregistrierung auf 4D-Dosissimulation bei extrakranieller SBRT. - Nik Mogadas; Thilo Sothmann; René Werner (Bildverarbeitung für die Medizin, 2018)

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)

Influence of 4D CT motion artifacts on correspondence model-based 4D dose accumulation. - Thilo Sothmann; Tobias Gauer; René Werner (Image-Guided Procedures, 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)

Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring. - Maximilian Nielsen; Moritz Waldmann; Thilo Sentker; Andreas Frölich; Jens Fiehler; René Werner (MICCAI (6), 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: Time Matters - Handling Spatio-temporal Perfusion Information for Automated Treatment in Cerebral Ischemia Scoring. - Maximilian Nielsen; Moritz Waldmann; Thilo Sentker; Andreas Frölich; Jens Fiehler; René Werner (Bildverarbeitung für die Medizin, 2021)

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

Self-supervision for medical image classification: state-of-the-art performance with 100 labeled training samples per class. - Maximilian Nielsen; Laura Wenderoth; Thilo Sentker; René Werner (CoRR, 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)

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)

Dose Reduction in Step-and-Shoot 4D CT Imaging via Breathing Signal-Guided Deep Learning-Driven Selective Data Acquisition: A Feasibility Study. - Lukas Wimmert; Tobias Gauer; J. Dickmann; C. Hofmann; Thilo Sentker; René Werner (ISBI, 2025)

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)