Christiane Kuhl
Orcid: 0000-0001-8696-2363Affiliations:
- RWTH Aachen University, Germany
 
  According to our database1,
  Christiane Kuhl
  authored at least 35 papers
  between 2011 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
- 
    on ukaachen.de
 - 
    on orcid.org
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    on id.loc.gov
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    on d-nb.info
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    on dl.acm.org
 
On csauthors.net:
Bibliography
  2025
MedicalPatchNet: A Patch-Based Self-Explainable AI Architecture for Chest X-ray Classification.
    
  
    CoRR, September, 2025
    
  
  2024
Encrypted federated learning for secure decentralized collaboration in cancer image analysis.
    
  
    Medical Image Anal., February, 2024
    
  
    npj Digit. Medicine, 2024
    
  
RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation.
    
  
    CoRR, 2024
    
  
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs.
    
  
    CoRR, 2024
    
  
  2023
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models.
    
  
    CoRR, 2023
    
  
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining.
    
  
    CoRR, 2023
    
  
    CoRR, 2023
    
  
Empowering Clinicians and Democratizing Data Science: Large Language Models Automate Machine Learning for Clinical Studies.
    
  
    CoRR, 2023
    
  
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy.
    
  
    CoRR, 2023
    
  
Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers - A multi-institutional evaluation.
    
  
    CoRR, 2023
    
  
Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology.
    
  
    CoRR, 2023
    
  
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers.
    
  
    Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
    
  
    Proceedings of the Simulation and Synthesis in Medical Imaging, 2023
    
  
  2022
Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation.
    
  
    Nat. Mac. Intell., November, 2022
    
  
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis.
    
  
    CoRR, 2022
    
  
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels.
    
  
    CoRR, 2022
    
  
Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation.
    
  
    CoRR, 2022
    
  
Automated major psoas muscle volumetry in computed tomography using machine learning algorithms.
    
  
    Int. J. Comput. Assist. Radiol. Surg., 2022
    
  
  2021
Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning.
    
  
    CoRR, 2021
    
  
  2020
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization.
    
  
    CoRR, 2020
    
  
A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data from the Osteoarthritis Initiative.
    
  
    Proceedings of the Shape in Medical Imaging - International Workshop, 2020
    
  
  2019
Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks.
    
  
    Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2019
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
    
  
    Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
    
  
  2018
Abbreviated breast biopsy procedure by registration of craniocaudal and mediolateral breast MR images.
    
  
    Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
    
  
Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images.
    
  
    Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
    
  
  2015
A miniature accelerometer-based guidance device for percutaneous computed tomography-guided punctures.
    
  
    Int. J. Comput. Assist. Radiol. Surg., 2015
    
  
  2014
Influence of trigger type, tube voltage and heart rate on calcified plaque imaging in dual source cardiac computed tomography: phantom study.
    
  
    BMC Medical Imaging, 2014
    
  
  2013
Black Box Integration of Computer-Aided Diagnosis into PACS Deserves a Second Chance: Results of a Usability Study Concerning Bone Age Assessment.
    
  
    J. Digit. Imaging, 2013
    
  
  2012
    Proceedings of the Quality of Life through Quality of Information, 2012
    
  
    Proceedings of the Bildverarbeitung für die Medizin 2012 - Algorithmen - Systeme, 2012
    
  
  2011
Bridging the integration gap between imaging and information systems: a uniform data concept for content-based image retrieval in computer-aided diagnosis.
    
  
    J. Am. Medical Informatics Assoc., 2011