Reference geometry-based detection of (4D-)CT motion artifacts: a feasibility study. - René Werner; Tobias Gauer (Image Processing, 2015)

Influence of 4D CT motion artifacts on correspondence model-based 4D dose accumulation. - Thilo Sothmann; Tobias Gauer; René Werner (Image-Guided Procedures, 2018)

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

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)

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)