Prof. Dr. Christoph Bert

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Quality requirements for MRI simulation in cranial stereotactic radiotherapy: a guideline from the German Taskforce “Imaging in Stereotactic Radiotherapy” (2024) Putz F, Bock M, Schmitt D, Bert C, Blanck O, Ruge MI, Hattingen E, et al. Journal article, Review article Electromagnetic tracking for integrated quality assurance in breast interstitial brachytherapy: The impact of registration method (2024) Sauer B, Dürrbeck C, Bert C Journal article Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding (2024) Hagag A, Gomaa A, Kornek D, Maier A, Fietkau R, Bert C, Huang Y, Putz F Conference contribution Is model-based dose calculation based on cone-beam computed tomography suitable for adaptive treatment planning in brachytherapy? (2024) Karius A, Shariff M, Schaller S, Lotter M, Strnad V, Lackner N, Fietkau R, et al. Journal article Investigating the effects of table movement and sag on optical surrogate-driven respiratory-guided computed tomography (2024) Lackner N, Dietrich L, Karius A, Fietkau R, Bert C, Szkitsak J Journal article Plan robustness analysis for threshold determination of SGRT-based intrafraction motion control in 3DCRT breast cancer radiation therapy (2023) Sauer TO, Stillkrieg W, Ott O, Fietkau R, Bert C Journal article Deep Learning and Registration-Based Mapping for Analyzing the Distribution of Nodal Metastases in Head and Neck Cancer Cohorts: Informing Optimal Radiotherapy Target Volume Design (2023) Weissmann T, Mansoorian S, May M, Lettmaier S, Höfler D, Deloch L, Speer S, et al. Journal article Benchmarking ChatGPT-4 on a radiation oncology in-training exam and Red Journal Gray Zone cases: potentials and challenges for AI-assisted medical education and decision making in radiation oncology (2023) Huang Y, Gomaa A, Semrau S, Haderlein M, Lettmaier S, Weissmann T, Grigo J, et al. Journal article, Original article Deep Learning-assisted delineation of brain metastases: a workflow focusing on AI-expert interaction (2023) Putz F, Szkitsak J, Grigo J, Masitho S, Weissmann T, Frey B, Gaipl U, et al. Conference contribution, Conference Contribution Deep learning for perspective deformation correction in X-ray imaging (2023) Huang Y, Maier A, Fan F, Kreher BW, Huang X, Fietkau R, Bert C, Putz F Journal article, other