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Unpublished / Preprint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

An extension to the OVH concept for knowledge-based dose volume histogram prediction in lung tumor volumetric-modulated arc therapy (2025) Brand J, Szkitsak J, Ott O, Bert C, Speer S Journal article Megavoltage intrafraction monitoring and position uncertainty in gimbaled markerless dynamic tumor tracking treatment of lung tumors (2025) Serpa M, Brandt T, Spohn SK, Rimner A, Bert C Journal article Cross-Modality Image Quality Prediction for Time-Resolved CT from Breathing Signals (2025) Schwarz A, Dickmann J, Hofmann C, Szkitsak J, Bert C, Maier A, Arias Vergara T Conference contribution Establishing an intraoperative, mobile CBCT-based workflow for gynecologic brachytherapy: primary experience and benefit assessment (2025) Karius A, Strnad V, Bert C, Fietkau R, Merten R, Schweizer C Journal article Reirradiation for recurrent glioblastoma: the significance of the residual tumor volume (2025) Mansoorian S, Schmidt M, Weissmann T, Delev D, Heiland DH, Coras R, Stritzelberger J, et al. Journal article Novel approach for determining beam latency using the center of mass of the radiation field measured with a diode detector array (2025) Dierl M, Chofor N, Röser A, Bert C, Schönfeld AA Journal article “sCT-Feasibility” - a feasibility study for deep learning-based MRI-only brain radiotherapy (2024) Grigo J, Szkitsak J, Höfler D, Fietkau R, Putz F, Bert C Journal article The Segment Anything foundation model achieves favorable brain tumor auto-segmentation accuracy in MRI to support radiotherapy treatment planning (2024) Putz F, Beirami S, Schmidt M, May M, Grigo J, Weissmann T, Schubert P, et al. Journal article, Original article Principles of artificial intelligence in radiooncology (2024) Huang Y, Gomaa A, Höfler D, Schubert P, Gaipl U, Frey B, Fietkau R, et al. Journal article, Original article Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data (2024) Huang Y, Fan F, Gomaa A, Maier A, Fietkau R, Bert C, Putz F Conference contribution