Florian Putz
Orcid: 0000-0003-3966-2872
According to our database1,
Florian Putz
authored at least 14 papers
between 2021 and 2024.
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Bibliography
2024
Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data.
CoRR, 2024
Fine-Tuning a Local LLaMA-3 Large Language Model for Automated Privacy-Preserving Physician Letter Generation in Radiation Oncology.
CoRR, 2024
Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma.
CoRR, 2024
Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation.
CoRR, 2024
An Experimental Survey of Incremental Transfer Learning for Multicenter Collaboration.
IEEE Access, 2024
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration.
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.
CoRR, 2023
The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning.
CoRR, 2023
Risk Classification of Brain Metastases via Radiomics, Delta-Radiomics and Machine Learning.
CoRR, 2023
2022
Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification.
CoRR, 2022
2021
Deep learning for brain metastasis detection and segmentation in longitudinal MRI data.
CoRR, 2021