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20212023
most citedPhysics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

physics.med-ph2023

Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal

Dicheng Chen, Meijin Lin, Huiting Liu +11

Objective: Magnetic Resonance Spectroscopy (MRS) is an important technique for biomedical detection. However, it is challenging to accurately quantify metabolites with proton MRS d…

eess.IV2022★ 1 cited

Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence

Chen Qian, Haoyu Zhang, Yuncheng Gao +23

Diffusion magnetic resonance imaging (MRI) is the only imaging modality for non-invasive movement detection of in vivo water molecules, with significant clinical and research appli…

physics.med-ph2021

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…