No‐reference image quality assessment of magnetic resonance images with high‐boost filtering and local features
M Oszust, A Piórkowski… - Magnetic Resonance in …, 2020 - Wiley Online Library
Purpose Subjective quality assessment of displayed magnetic resonance (MR) images
plays a key role in diagnosis and the resultant treatment. Therefore, this study aims to …
plays a key role in diagnosis and the resultant treatment. Therefore, this study aims to …
Bio‐SCOPE: fast biexponential T1ρ map** of the brain using signal‐compensated low‐rank plus sparse matrix decomposition
Purpose To develop and evaluate a fast imaging method based on signal‐compensated low‐
rank plus sparse matrix decomposition to accelerate data acquisition for biexponential brain …
rank plus sparse matrix decomposition to accelerate data acquisition for biexponential brain …
Accelerated submillimeter wave‐encoded magnetic resonance imaging via deep untrained neural network
Background Wave gradient encoding can adequately utilize coil sensitivity profiles to
facilitate higher accelerations in parallel magnetic resonance imaging (pMRI). However …
facilitate higher accelerations in parallel magnetic resonance imaging (pMRI). However …
Nonconvex nonsmooth low-rank minimization for generalized image compressed sensing via group sparse representation
Y Li, L Liu, Y Zhao, X Cheng, G Gui - Journal of the Franklin Institute, 2020 - Elsevier
Group sparse representation (GSR) based method has led to great successes in various
image recovery tasks, which can be converted into a low-rank matrix minimization problem …
image recovery tasks, which can be converted into a low-rank matrix minimization problem …
Improving GRAPPA reconstruction using joint nonlinear kernel mapped and phase conjugated virtual coils
Improving GRAPPA reconstruction using joint nonlinear kernel mapped and phase conjugated
virtual coils - IOPscience This site uses cookies. By continuing to use this site you agree to our …
virtual coils - IOPscience This site uses cookies. By continuing to use this site you agree to our …
[HTML][HTML] Multiscale Urban Functional Zone Recognition Based on Landmark Semantic Constraints
X ** Using Simultaneously Spatial Patch-Based and Parametric Group-Based Low-Rank Tensors (SMART)
Quantitative magnetic resonance (MR) map** is a promising approach for characterizing
intrinsic tissue-dependent information. However, long scan time significantly hinders its …
intrinsic tissue-dependent information. However, long scan time significantly hinders its …
Iterative feature refinement with network-driven prior for image restoration
J Zhou, M Meng, J **ng, Y **ong, X Xu… - Pattern Analysis and …, 2021 - Springer
Image restoration (IR) has been extensively studied with lots of excellent strategies
accumulated over the years. However, most existing methods still have large room for …
accumulated over the years. However, most existing methods still have large room for …