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AI-based reconstruction for fast MRI—A systematic review and meta-analysis
Compressed sensing (CS) has been playing a key role in accelerating the magnetic
resonance imaging (MRI) acquisition process. With the resurgence of artificial intelligence …
resonance imaging (MRI) acquisition process. With the resurgence of artificial intelligence …
Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data
S Wang, T ** pipeline tool for phase images
Quantitative susceptibility map** (QSM) is a physics-driven computational technique that
has a high sensitivity in quantifying iron deposition based on MRI phase images …
has a high sensitivity in quantifying iron deposition based on MRI phase images …
A review and experimental evaluation of deep learning methods for MRI reconstruction
Following the success of deep learning in a wide range of applications, neural network-
based machine-learning techniques have received significant interest for accelerating …
based machine-learning techniques have received significant interest for accelerating …
Overview of quantitative susceptibility map** using deep learning: Current status, challenges and opportunities
Quantitative susceptibility map** (QSM) has gained broad interest in the field by extracting
bulk tissue magnetic susceptibility, predominantly determined by myelin, iron and calcium …
bulk tissue magnetic susceptibility, predominantly determined by myelin, iron and calcium …
QSM reconstruction challenge 2.0: design and report of results
QSM Challenge 2.0 Organization … - Magnetic …, 2021 - Wiley Online Library
Purpose The aim of the second quantitative susceptibility map** (QSM) reconstruction
challenge (Oct 2019, Seoul, Korea) was to test the accuracy of QSM dipole inversion …
challenge (Oct 2019, Seoul, Korea) was to test the accuracy of QSM dipole inversion …
[HTML][HTML] Exploring linearity of deep neural network trained QSM: QSMnet+
Recently, deep neural network-powered quantitative susceptibility map** (QSM), QSMnet,
successfully performed ill-conditioned dipole inversion in QSM and generated high-quality …
successfully performed ill-conditioned dipole inversion in QSM and generated high-quality …