Sven Nebelung
Orcid: 0000-0002-5267-9962
According to our database1,
Sven Nebelung
authored at least 28 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
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
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization.
CoRR, 2024
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs.
CoRR, 2024
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images.
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
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection.
Proceedings of the 20th IEEE International Symposium on Biomedical 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
Proceedings of the Eleventh International Conference on Image Processing Theory, 2022
2021
Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning.
CoRR, 2021
A Novel Combined Level Set Model for Carpus Segmentation from Magnetic Resonance Images with Prior Knowledge aligned in Polar Coordinate System.
Comput. Methods Programs Biomed., 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