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Deep learning based T1-enhanced selection of linear attenuation coefficients for PET/MR attenuation correction: accuracy and repeatability

A Deep Learning Method for Sensitivity Enhancement in Deuterium Metabolic Imaging (DMI)

High Resolution MR Spectroscopic Imaging Using Deep Image Prior Constrained Subspace Modeling

High-Resolution Dynamic 31P-MRSI of Ischemia-Reperfusion in Rat Using Low-Rank Tensor Model with Deep Learning Priors

Making SPICE Spicier with Sparse Sampling of (k, t)-Space and Learned Subspaces

MP-PCA denoising dramatically improves SNR in large-sized MRS data: an illustration in diffusion-weighted MRS

Processing of muscle phosphorus 7T CSI data using PCA denoising and deconvolution

Author:Martijn Froeling  Tijl van der Velden  Jeanine Prompers  Dennis Klomp  

Institution:UMC Utrecht  

Session Type:Oral  

Session Live Q&A Date:Monday, 10 August 2020  

Topic:MRS: New Developments, Applicatons, & Fighting the Noise  

Session Name:MRS: Deep Learning & Denoising  

Program Number:0396  

Room Live Q&A Session:Monday Parallel 5  

Simultaneous 3D proton MRF and sodium MRI

Spectral Wavelet-feature Analysis and Classification Assisted Denoising Approach for Enhancing Signal to Noise Ratios of MRS Data