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)

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)

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)

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)