Florian Putz

According to our database, Florian Putz authored at least 22 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Improving Generalization of Deep Learning for Brain Metastases Segmentation Across Institutions.

Yuchen Yang, Shuangyang Zhong, Haijun Yu, Langcuomu Suo, Hongbin Han, Florian Putz, Yixing Huang

CoRR, April, 2026

Comparative Study of Deep Learning Models for Brain Metastases Autosegmentation.

Anqi Wang, Florian Putz, Yixing Huang, Andreas Maier

Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

2025

Large-Scale Pre-training Enables Multimodal AI Differentiation of Radiation Necrosis from Brain Metastasis Progression on Routine MRI.

Ahmed Gomaa, Annette Schwarz, Ludwig Singer, Arnd Dörfler, Matthias Stefan May, Pluvio Stephan, Ishita Sheth, Juliane Szkitsak, Katharina Breininger, Yixing Huang, Benjamin Frey, Oliver Schnell, Daniel Delev, Roland Coras, Daniel Höfler, Philipp Schubert, Jenny Stritzelberger, Sabine Semrau, Andreas K. Maier, Dieter Henrik Heiland, Udo S. Gaipl, Andrea Wittig, Rainer Fietkau, Christoph Bert, Stefanie Corradini, Florian Putz

CoRR, November, 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

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, Andreas K. Maier, Siming Bayer, Stephan Schönecker, Dieter Henrik Heiland, Peter H. N. de With, Udo S. Gaipl, Christoph Bert, Rainer Fietkau, Manuel A. Schmidt, Florian Putz

CoRR, February, 2025

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, January, 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

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

CoRR, 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

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

Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding.

Amr Hagag, Ahmed Gomaa, Dominik Kornek, Andreas Maier, Rainer Fietkau, Christoph Bert, Yixing Huang, Florian Putz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Governance Practices for Open Source Foundations in the Healthcare Sector.

Elçin Yenisen Yavuz, Akshat Shrivastava, Dirk Riehle, Florian Putz

Proceedings of the Software Business - 15th International Conference, 2024

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

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

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

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

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

Learning Perspective Deformation in X-Ray Transmission Imaging.

Yixing Huang, Andreas K. Maier, Rainer Fietkau, Christoph Bert, 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