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Rainer Fietkau

Identifiers

  • name variant Rainer Fietkau 0.60 · backfill

Papers (17)

  1. Benchmarking GPT-5 in Radiation Oncology: Measurable Gains, but Persistent Need for Expert Oversight cs.CV · 2025 · author #18
  2. A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma eess.IV · 2025 · author #20
  3. Exploring the Capabilities and Limitations of Large Language Models for Radiation Oncology Decision Support physics.med-ph · 2025 · author #5
  4. Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data cs.CV · 2024 · author #5
  5. Fine-Tuning a Local LLaMA-3 Large Language Model for Automated Privacy-Preserving Physician Letter Generation in Radiation Oncology cs.AI · 2024 · author #13
  6. Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma eess.IV · 2024 · author #18
  7. Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation eess.IV · 2024 · author #5
  8. Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet physics.med-ph · 2023 · author #6
  9. A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration cs.LG · 2023 · author #4
  10. Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding eess.IV · 2023 · author #5
  11. Benchmarking ChatGPT-4 on ACR Radiation Oncology In-Training (TXIT) Exam and Red Journal Gray Zone Cases: Potentials and Challenges for AI-Assisted Medical Education and Decision Making in Radiation Oncology physics.med-ph · 2023 · author #13
  12. The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning eess.IV · 2023 · author #15
  13. Risk Classification of Brain Metastases via Radiomics, Delta-Radiomics and Machine Learning cs.CV · 2023 · author #7
  14. Deep learning for automatic head and neck lymph node level delineation provides expert-level accuracy eess.IV · 2022 · author #18
  15. Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification cs.LG · 2022 · author #7
  16. Learning Perspective Deformation in X-Ray Transmission Imaging eess.IV · 2022 · author #6
  17. Deep learning for brain metastasis detection and segmentation in longitudinal MRI data eess.IV · 2021 · author #12

Mentions

  • 2508.21777 #18 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2502.03999 #20 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2501.02346 #5 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2409.08800 #5 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2408.10715 #13 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2405.10870 #5 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2306.14596 #5 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2310.01073 #6 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2405.12963 #18 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2309.17192 #4 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2304.11957 #13 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2304.07875 #15 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2208.13224 #18 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2302.08802 #7 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2202.06366 #6 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2204.13591 #7 · arxiv_oai · confidence 0.70 Rainer Fietkau
  • 2112.11833 #12 · arxiv_oai · confidence 0.70 Rainer Fietkau

Frequent Coauthors