Christiane Kuhl

Orcid: 0000-0001-8696-2363

Affiliations:
  • RWTH Aachen University, Germany


According to our database1, Christiane Kuhl authored at least 33 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Encrypted federated learning for secure decentralized collaboration in cancer image analysis.
Medical Image Anal., February, 2024

Medical large language models are susceptible to targeted misinformation attacks.
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

Medical Foundation Models are Susceptible to Targeted Misinformation Attacks.
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

Transformers for CT Reconstruction from Monoplanar and Biplanar Radiographs.
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

Diffusion Probabilistic Models beat GANs on Medical Images.
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

Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Prediction of Liver Function Based on DCE-CT.
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
IRMA Code II: Unique Annotation of Medical Images for Access and Retrieval.
Proceedings of the Quality of Life through Quality of Information, 2012

IRMA Code II - A New Concept for Classification of Medical Images.
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


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