A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation
Abstract: Highlights•Subject-specific and unsupervised deep learning for QSM reconstruction.•Integration of implicit continuous signal representation and explicit regularizations.•Phase compensation strategy for an accurate physical model.•Improved accuracy and quality compared with established methods.
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