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 …
Brain MR image super-resolution using 3D feature attention network
L Wang, J Du, H Zhu, Z He, Y Jia - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Magnetic resonance images (MRI) with high spatial resolution provide detailed anatomical
information for accurate disease diagnosis and quantitative analysis. However, the …
information for accurate disease diagnosis and quantitative analysis. However, the …
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 …
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 …
Brain MRI super-resolution reconstruction using a multi-level and parallel conv-deconv network
High resolution (HR) magnetic resonance images (MRI) provide rich tissue anatomical
information that enables accurate diagnostics and pathological analysis. However, the …
information that enables accurate diagnostics and pathological analysis. However, the …
Brain MRI super-resolution using 3D dilated convolutional encoder–decoder network
The spatial resolution of magnetic resonance images (MRI) is limited by the hardware
capacity, sampling time, signal-to-noise ratio (SNR), and patient comfort. Recently, deep …
capacity, sampling time, signal-to-noise ratio (SNR), and patient comfort. Recently, deep …
MR image super-resolution with squeeze and excitation reasoning attention network
High-quality high-resolution (HR) magnetic resonance (MR) images afford more detailed
information for reliable diagnosis and quantitative image analyses. Deep convolutional …
information for reliable diagnosis and quantitative image analyses. Deep convolutional …
Brain MRI super-resolution using coupled-projection residual network
Abstract Magnetic Resonance Imaging (MRI) has been widely used in clinical application
and pathology research to help doctors provide better diagnoses. However, accurate …
and pathology research to help doctors provide better diagnoses. However, accurate …
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 …
MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution
S Huang, G Chen, Y Yang, X Wang… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Due to the unique environment and inherent properties of magnetic resonance imaging
(MRI) instruments, MR images typically have lower resolution. Therefore, improving the …
(MRI) instruments, MR images typically have lower resolution. Therefore, improving the …