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.
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