Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data. - Felix Köpcke; Dorota Lubgan; Rainer Fietkau; Axel Scholler; Carla Nau; Michael Stürzl; Roland Croner; Hans-Ulrich Prokosch; Dennis Toddenroth (BMC Medical Informatics Decis. Mak., 2013)

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)

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)

Exploring the Capabilities and Limitations of Large Language Models for Radiation Oncology Decision Support. - Florian Putz; Marlen Haderleina; Sebastian Lettmaier; Sabine Semrau; Rainer Fietkau; Yixing Huang (CoRR, 2025)

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)