6 citations · 16 across the 11 of their papers we have counts for
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eess.IV2021
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI
Zi Wang, Chen Qian, Di Guo +4
Deep learning has shown astonishing performance in accelerated magnetic resonance imaging (MRI). Most state-of-the-art deep learning reconstructions adopt the powerful convolutiona…
physics.med-ph2021★ 2 cited
XCloud-VIP: Virtual Peak Enables Highly Accelerated NMR Spectroscopy and Faithful Quantitative Measures
Di Guo, Zhangren Tu, Yi Guo +13
Nuclear Magnetic Resonance (NMR) spectroscopy is an important bio-engineering tool to determine the metabolic concentrations, molecule structures and so on. The data acquisition ti…
physics.med-ph2021★ 1 cited
Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few In Vivo Data
Dicheng Chen, Wanqi Hu, Huiting Liu +13
Magnetic Resonance Spectroscopy (MRS) is a noninvasive tool to reveal metabolic information. One challenge of 1H-MRS is the low Signal-Noise Ratio (SNR). To improve the SNR, a typi…