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Rainer Fietkau
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2020 – today
- 2024
- [j2]Yixing Huang
, Christoph Bert
An Experimental Survey of Incremental Transfer Learning for Multicenter Collaboration. IEEE Access 12: 101210-101227 (2024) - [c1]Amr Hagag, Ahmed Gomaa, Dominik Kornek, Andreas Maier
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding. MICCAI (5) 2024: 198-208 - [i13]Yixing Huang
Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation. CoRR abs/2405.10870 (2024) - [i12]Ahmed Gomaa, Yixing Huang
Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma. CoRR abs/2405.12963 (2024) - [i11]Yihao Hou, Christoph Bert, Ahmed Gomaa, Godehard Lahmer, Daniel Hoefler, Thomas Weissmann, Raphaela Voigt, Philipp Schubert, Charlotte Schmitter, Alina Depardon, Sabine Semrau, Andreas Maier, Rainer Fietkau, Yixing Huang, Florian Putz:
Fine-Tuning a Local LLaMA-3 Large Language Model for Automated Privacy-Preserving Physician Letter Generation in Radiation Oncology. CoRR abs/2408.10715 (2024) - [i10]Yixing Huang, Fuxin Fan, Ahmed Gomaa, Andreas Maier, Rainer Fietkau, Christoph Bert, Florian Putz:
Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data. CoRR abs/2409.08800 (2024) - 2023
- [i9]Philipp Sommer, Yixing Huang
Risk Classification of Brain Metastases via Radiomics, Delta-Radiomics and Machine Learning. CoRR abs/2302.08802 (2023) - [i8]Florian Putz
The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning. CoRR abs/2304.07875 (2023) - [i7]Yixing Huang
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 abs/2304.11957 (2023) - [i6]Amr Hagag, Ahmed Gomaa, Dominik Kornek, Andreas K. Maier, Rainer Fietkau, Christoph Bert, Florian Putz
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding. CoRR abs/2306.14596 (2023) - [i5]Yixing Huang
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration. CoRR abs/2309.17192 (2023) - 2022
- [i4]Yixing Huang, Andreas K. Maier, Rainer Fietkau, Christoph Bert, Florian Putz:
Learning Perspective Deformation in X-Ray Transmission Imaging. CoRR abs/2202.06366 (2022) - [i3]Yixing Huang
Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification. CoRR abs/2204.13591 (2022) - [i2]Thomas Weissmann, Yixing Huang
Deep Learning for automatic head and neck lymph node level delineation. CoRR abs/2208.13224 (2022) - 2021
- [i1]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:
Deep learning for brain metastasis detection and segmentation in longitudinal MRI data. CoRR abs/2112.11833 (2021)
2010 – 2019
- 2013
- [j1]Felix Köpcke, Dorota Lubgan, Rainer Fietkau, Axel Scholler, Carla Nau, Michael Stürzl
Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data. BMC Medical Informatics Decis. Mak. 13: 134 (2013)
Coauthor Index
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last updated on 2024-10-23 21:26 CEST by the dblp team
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