Author

Marius Staring

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Preprint Sep 2026

Data-Efficient Networks for Multi-Contrast MRI Reconstruction based on a Generalized Content/Style Prior

A modular framework, namely CoSMo-RecNet, for learning guided reconstruction models in the low-data regime, which is a reusable multi-contrast representation based on a content/style model that can be learned from large-scale, publicly accessible, unpaired multi-contrast image datasets, without available k-space data.

Chin-May Rao, E. Ilıcak, M. V. van Osch et al. · 0 citations

Preprint Jul 2026

Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction

This work proposes an image-domain dual-branch INR framework, termed I-FP-INR, which extends the original INR design by introducing an additional feature-processing branch, which aims to extract complementary feature embeddings to enhance the overall representation, thereby benefiting reconstruction.

Donghang Lyu, Marius Staring, Yiming Dong et al. · 0 citations