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Deep learning · Publication

Deep MRS quantification

A systematic investigation of spectroscopic input types, neural-network architectures, ensemble optimization, active learning, and training-distribution bias for MR spectroscopy quantification.

Detailed illustrated overview of deep learning MR spectra quantification in an idealized setting
Quantification of MR spectra by deep learning in an idealized settingMagn Reson Med. 2023;89:1707–1727