Real-Time Respiratory Motion Analysis Using 4-D Shape Priors. - Jakob Wasza; Peter Fischer 001; Heike Leutheuser; Tobias Oefner; Christoph Bert; Andreas K. Maier; Joachim Hornegger (IEEE Trans. Biomed. Eng., 2016)

A Kernel Ridge Regression Model for Respiratory Motion Estimation in Radiotherapy. - Tobias Geimer; Adriana Birlutiu; Mathias Unberath; Oliver Taubmann; Christoph Bert; Andreas K. Maier (Bildverarbeitung für die Medizin, 2017)

A kernel-based framework for intra-fractional respiratory motion estimation in radiation therapy. - Tobias Geimer; Mathias Unberath; Adriana Birlutiu; Oliver Taubmann; J. Wolfelschneider; Christoph Bert; Andreas K. Maier (ISBI, 2017)

Abstract: Assessment of Segmentation Dependence in Macroscopic Lung Cavity Extraction. - Asmaa Khdeir; Tobias Geimer; Shuqing Chen; Eric Goppert; Maximilian Dankbar; Christoph Bert; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model. - Tobias Geimer; Paul J. Keall; Katharina Breininger; Vincent Caillet; Michelle Dunbar; Christoph Bert; Andreas Maier 001 (GCPR, 2018)

Respiratory Deformation Estimation in X-Ray-Guided IMRT Using a Bilinear Model. - Tobias Geimer; Stefan B. Ploner; Paul J. Keall; Christoph Bert; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Investigation of Feature-Based Nonrigid Image Registration Using Gaussian Process. - Siming Bayer; Ute Spiske; Jie Luo 003; Tobias Geimer; William M. Wells III; Martin Ostermeier; Rebecca Fahrig; Arya Nabavi; Christoph Bert; Ilker Eyüpoglo; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process. - Siming Bayer; Ute Spiske; Jie Luo 003; Tobias Geimer; William M. Wells III; Martin Ostermeier; Rebecca Fahrig; Arya Nabavi; Christoph Bert; Ilker Eyüpoglo; Andreas K. Maier (CoRR, 2020)

Deep learning for brain metastasis detection and segmentation in longitudinal MRI data. - Yixing Huang; Christoph Bert; Philipp Sommer; Benjamin Frey; Udo Gaipl; Luitpold V. Distel; Thomas Weissmann; Michael Uder; Manuel A. Schmidt; Arnd Dörfler; Andreas K. Maier; Rainer Fietkau; et al. (CoRR, 2021)

Learning Perspective Deformation in X-Ray Transmission Imaging. - Yixing Huang; Andreas K. Maier; Rainer Fietkau; Christoph Bert; Florian Putz (CoRR, 2022)

Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification. - Yixing Huang; Christoph Bert; Stefan Fischer; Manuel A. Schmidt; Arnd Dörfler; Andreas K. Maier; Rainer Fietkau; Florian Putz (CoRR, 2022)

Deep Learning for automatic head and neck lymph node level delineation. - Thomas Weissmann; Yixing Huang; Stefan Fischer; Johannes Roesch; Sina Mansoorian; Horacio Ayala Gaona; Antoniu-Oreste Gostian; Markus Hecht; Sebastian Lettmaier; Lisa Deloch; Benjamin Frey; Udo S. Gaipl; et al. (CoRR, 2022)

Risk Classification of Brain Metastases via Radiomics, Delta-Radiomics and Machine Learning. - Philipp Sommer; Yixing Huang; Christoph Bert; Andreas K. Maier; Manuel A. Schmidt; Arnd Dörfler; Rainer Fietkau; Florian Putz (CoRR, 2023)

The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning. - Florian Putz; Johanna Grigo; Thomas Weissmann; Philipp Schubert; Daniel Hoefler; Ahmed Gomaa; Hassen Ben Tkhayat; Amr Hagag; Sebastian Lettmaier; Benjamin Frey; Udo S. Gaipl; Luitpold V. Distel; et al. (CoRR, 2023)

Benchmarking ChatGPT-4 on ACR Radiation Oncology In-Training Exam (TXIT): Potentials and Challenges for AI-Assisted Medical Education and Decision Making in Radiation Oncology. - Yixing Huang; Ahmed Gomaa; Thomas Weissmann; Johanna Grigo; Hassen Ben Tkhayat; Benjamin Frey; Udo S. Gaipl; Luitpold V. Distel; Andreas K. Maier; Rainer Fietkau; Christoph Bert; Florian Putz (CoRR, 2023)

A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration. - Yixing Huang; Christoph Bert; Ahmed Gomaa; Rainer Fietkau; Andreas K. Maier; Florian Putz (CoRR, 2023)

Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding. - Amr Hagag; Ahmed Gomaa; Dominik Kornek; Andreas Maier 001; Rainer Fietkau; Christoph Bert; Yixing Huang; Florian Putz (MICCAI (5), 2024)

Cross-Modality Image Quality Prediction for Time-Resolved CT from Breathing Signals. - Annette Schwarz; Jannis Dickmann; Christian Hofmann; Juliane Szkitsak; Christoph Bert; Andreas Maier 001; Tomás Arias-Vergara (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

An Experimental Survey of Incremental Transfer Learning for Multicenter Collaboration. - Yixing Huang; Christoph Bert; Ahmed Gomaa; Rainer Fietkau; Andreas K. Maier; Florian Putz (IEEE Access, 2024)

Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation. - Yixing Huang; Zahra Khodabakhshi; Ahmed Gomaa; Manuel A. Schmidt; Rainer Fietkau; Matthias Guckenberger; Nicolaus Andratschke; Christoph Bert; Stephanie Tanadini-Lang; Florian Putz (CoRR, 2024)

Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma. - Ahmed Gomaa; Yixing Huang; Amr Hagag; Charlotte Schmitter; Daniel Höfler; Thomas Weissmann; Katharina Breininger; Manuel A. Schmidt; Jenny Stritzelberger; Daniel Delev; Roland Coras; Arnd Dörfler; et al. (CoRR, 2024)

Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data. - Yixing Huang; Fuxin Fan; Ahmed Gomaa; Andreas Maier 001; Rainer Fietkau; Christoph Bert; Florian Putz (CoRR, 2024)

Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology. - Yihao Hou; Christoph Bert; Ahmed Gomaa; Godehard Lahmer; Daniel Höfler; Thomas Weissmann; Raphaela Voigt; Philipp Schubert; Charlotte Schmitter; Alina Depardon; Sabine Semrau; Andreas K. Maier; et al. (Frontiers Artif. Intell., 2024)

A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma. - Ahmed Gomaa; Yixing Huang; Pluvio Stephan; Katharina Breininger; Benjamin Frey; Arnd Dörfler; Oliver Schnell; Daniel Delev; Roland Coras; Charlotte Schmitter; Jenny Stritzelberger; Sabine Semrau; et al. (CoRR, 2025)