Christoph Bert

Orcid: 0000-0002-8539-6600

According to our database1, Christoph Bert authored at least 22 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

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
Deep Learning for automatic head and neck lymph node level delineation.
CoRR, 2022

Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification.
CoRR, 2022

Learning Perspective Deformation in X-Ray Transmission Imaging.
CoRR, 2022

2021
Deep learning for brain metastasis detection and segmentation in longitudinal MRI data.
CoRR, 2021

2020
An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process.
CoRR, 2020

Investigation of Feature-Based Nonrigid Image Registration Using Gaussian Process.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019
Respiratory Deformation Estimation in X-Ray-Guided IMRT Using a Bilinear Model.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018
Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

Abstract: Assessment of Segmentation Dependence in Macroscopic Lung Cavity Extraction.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017
A kernel-based framework for intra-fractional respiratory motion estimation in radiation therapy.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A Kernel Ridge Regression Model for Respiratory Motion Estimation in Radiotherapy.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016
Real-Time Respiratory Motion Analysis Using 4-D Shape Priors.
IEEE Trans. Biomed. Eng., 2016


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