Thomas Weissmann

According to our database, Thomas Weissmann authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Improving Deep Learning-Based Target Volume Auto-Delineation for Adaptive MR-Guided Radiotherapy in Head and Neck Cancer: Impact of a Volume-Aware Dice Loss.

Sogand Beirami, Zahra Esmaeilzadeh, Ahmed Gomaa, Pluvio Stephan, Ishita Sheth, Thomas Weissmann, Juliane Szkitsak, Philipp Schubert, Yixing Huang, Annette Schwarz, Stefanie Corradini, Florian Putz

CoRR, April, 2026

2025

Benchmarking GPT-5 in Radiation Oncology: Measurable Gains, but Persistent Need for Expert Oversight.

Ugur Dinc, Jibak Sarkar, Philipp Schubert, Sabine Semrau, Thomas Weissmann, Andre Karius, Johann Brand, Bernd-Niklas Axer, Ahmed Gomaa, Pluvio Stephan, Ishita Sheth, Sogand Beirami, Annette Schwarz, Udo Gaipl, Benjamin Frey, Christoph Bert, Stefanie Corradini, Rainer Fietkau, Florian Putz

CoRR, August, 2025

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, Rainer Fietkau, Yixing Huang, Florian Putz

Frontiers Artif. Intell., 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, Oliver Schnell, Benjamin Frey, Udo S. Gaipl, Sabine Semrau, Christoph Bert, Rainer Fietkau, Florian Putz

CoRR, 2024

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

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, Sabine Semrau, Christoph Bert, Rainer Fietkau, Yixing Huang

CoRR, 2023

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, Luitpold V. Distel, Andreas K. Maier, Heinrich Iro, Sabine Semrau, Christoph Bert, Rainer Fietkau, Florian Putz

CoRR, 2022

2021

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, Florian Putz

CoRR, 2021