Accurate and lightweight MRI super-resolution via multi-scale bidirectional fusion attention network
L Xu, G Li, Q Chen - Plos one, 2022 - journals.plos.org
High-resolution magnetic resonance (MR) imaging has attracted much attention due to its
contribution to clinical diagnoses and treatment. However, because of the interference of …
contribution to clinical diagnoses and treatment. However, because of the interference of …
Wide weighted attention multi-scale network for accurate MR image super-resolution
High-quality magnetic resonance (MR) images afford more detailed information for reliable
diagnoses and quantitative image analyses. Given low-resolution (LR) images, the deep …
diagnoses and quantitative image analyses. Given low-resolution (LR) images, the deep …
Channel splitting network for single MR image super-resolution
High resolution magnetic resonance (MR) imaging is desirable in many clinical applications
due to its contribution to more accurate subsequent analyses and early clinical diagnoses …
due to its contribution to more accurate subsequent analyses and early clinical diagnoses …
3d cross-scale feature transformer network for brain mr image super-resolution
W Zhang, L Wang, W Chen, Y Jia… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
High-resolution (HR) magnetic resonance (MR) images could provide reliable visual
information for clinical diagnosis. Recently, super-resolution (SR) methods based on …
information for clinical diagnosis. Recently, super-resolution (SR) methods based on …
A hybrid convolutional neural network for super‐resolution reconstruction of MR images
Y Zheng, B Zhen, A Chen, F Qi, X Hao, B Qiu - Medical physics, 2020 - Wiley Online Library
Purpose Spatial resolution is an important parameter for magnetic resonance imaging (MRI).
High‐resolution MR images provide detailed information and benefit subsequent image …
High‐resolution MR images provide detailed information and benefit subsequent image …
Single MR image Super-resolution via channel splitting and serial fusion network
Z Xiaole, H Zhang, H Liu, Y Qin, T Zhang… - arXiv preprint arXiv …, 2019 - arxiv.org
Spatial resolution is a critical imaging parameter in magnetic resonance imaging (MRI).
Acquiring high resolution MRI data usually takes long scanning time and would subject to …
Acquiring high resolution MRI data usually takes long scanning time and would subject to …
Single MR image super-resolution via channel splitting and serial fusion network
X Zhao, Y Zhang, Y Qin, Q Wang, T Zhang… - Knowledge-Based Systems, 2022 - Elsevier
In magnetic resonance imaging (MRI), spatial resolution is an important and critical imaging
parameter that represents how much information is contained in a unit space. Acquiring high …
parameter that represents how much information is contained in a unit space. Acquiring high …
MR image super-resolution via wide residual networks with fixed skip connection
Spatial resolution is a critical imaging parameter in magnetic resonance imaging. The image
super-resolution (SR) is an effective and cost efficient alternative technique to improve the …
super-resolution (SR) is an effective and cost efficient alternative technique to improve the …
Residual dense network for medical magnetic resonance images super-resolution
Background and objective High-resolution magnetic resonance images (MRI) help experts
to localize lesions and diagnose diseases, but it is difficult to obtain high-resolution MRI …
to localize lesions and diagnose diseases, but it is difficult to obtain high-resolution MRI …
Coupled-projection residual network for mri super-resolution
Magnetic Resonance Imaging (MRI) has been widely used in clinical application and
pathology research by helping doctors make more accurate diagnoses. On the other hand …
pathology research by helping doctors make more accurate diagnoses. On the other hand …