Florian Putz

According to our database, Florian Putz authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

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

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 K. Maier, Rainer Fietkau, Christoph Bert, Florian Putz, Yixing Huang

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