Author

Daniel Rueckert

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Preprint Aug 2026

MRIComp4Flow: Compression of 3D Brain MRI for Training Multi-Modal Generative Models

Large-scale multi-modal MRI datasets impose substantial storage and I/O costs, limiting the training of 3D generative models on commodity infrastructure. While lossy compression is known to preserve accuracy for discriminative segmentation networks, its effect on generative models, which must learn the full data distri...

Lisa K. Fischer, Mykhailo Riabets, Daniel Rueckert et al. · 0 citations

#artificial intelligence Apr 2026

Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis

This work presents a training-free agentic pipeline for automated brain MRI analysis and demonstrates that agentic AI can solve highly neuro-radiological image analysis tasks through tool use without the need for training or fine-tuning.

Ayhan Can Erdur, Daniel Scholz, Jiazhen Pan et al. · arXiv.org · 3 citations · ⚡1