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Accelerated ultrashort echo time quantitative magnetization transfer (UTE-qMT) imaging of macromolecular fraction (MMF) in cortical bone based on a self-attention convolutional neural network
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End-to-End Deep Learning-Based Motion Correction and Reconstruction for Accelerated Whole-Heart Joint T1/T2 Mapping
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Effect of fetal growth restriction on the development of regional brain volume and neurodevelopmental outcomes: Evidence from magnetic resonance imaging based on a fully automated segmentation method
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Diagnostic accuracy of segmental strain analysis by cardiac magnetic resonance feature tracking for chronic myocardial ischemic scar assessment
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Neuroimaging biomarkers of neuroprotection: Impact of voluntary versus enforced exercise in Alzheimer's disease models
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An analysis of brain structural changes in type 2 diabetes using advanced MRI techniques
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Evaluation of blood supply using dynamic contrast-enhanced magnetic resonance imaging and its application in spinal tumor surgery
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A unified circular-polarization metamaterial-inspired resonator for increasing SNR in breast MRI
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Advancement of an automatic segmentation pipeline for metallic artifact removal in post-surgical ACL MRI
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Accelerating prostate rs-EPI DWI with deep learning: Halving scan time, enhancing image quality, and validating in vivo
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Can arginine, glutamate and glutamine serve as surrogates of intestinal mucosal healing in the patients with celiac disease following gluten-free diet? An NMR based metabolomics study
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Less is more? Performance of loops without distributed capacitors for 7 T MRI applications
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Study on predicting breast cancer Ki-67 expression using a combination of radiomics and deep learning based on multiparametric MRI
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Harmonized connectome resampling for variance in voxel sizes
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Appropriate strength of acceleration selective-motion sensitized gradient for non-triggered, non-contrast enhanced magnetic resonance angiography of the lower extremities
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Denoising of high-resolution 3D UTE-MR angiogram data using lightweight and efficient convolutional neural networks
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Evaluation of synthetic images derived from a neural network in pediatric brain magnetic resonance imaging
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MATI: A GPU-accelerated toolbox for microstructural diffusion MRI simulation and data fitting with a graphical user interface
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MRI-based habitat analysis for Intratumoral heterogeneity quantification combined with deep learning for HER2 status prediction in breast cancer
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Microvascular functional and structural changes in early-stage CADASIL
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A machine learning-based approach to identify peripheral artery disease using texture features from contrast-enhanced magnetic resonance imaging
A machine learning-based approach to identify peripheral artery disease using texture features from contrast-enhanced magnetic resonance imaging
In 2019 > 113 million people suffered from peripheral artery disease (PAD) whereas approximately 6.5 million people age...
Correcting synthetic MRI contrast-weighted images using deep learning
Correcting synthetic MRI contrast-weighted images using deep learning
Magnetic resonance imaging (MRI) is an important non-invasive clinical imaging modality that does not use ionizing radiati...
Combining variational mode decomposition with regularisation techniques to denoise MRI data
Combining variational mode decomposition with regularisation techniques to denoise MRI data
In this paper, we propose a novel method for removing noise from MRI data by exploiting regularisation techniques combined...
A hybrid 2D-FDTD/3D-MoM method used for the analysis of MRI RF coils
A hybrid 2D-FDTD/3D-MoM method used for the analysis of MRI RF coils
Magnetic resonance imaging (MRI) is an indispensable tool in medical applications [1] and will continue to thrive with the...
Amide proton transfer weighted combined with diffusion kurtosis imaging for predicting lymph node metastasis in cervical cancer
Amide proton transfer weighted combined with diffusion kurtosis imaging for predicting lymph node metastasis in cervical cancer
Cervical cancer (CC) is one of the most common gynecological malignancies worldwide, and its incidence is gradually increa...
Correction of phase offset errors and quantification of background noise, signal-to-noise ratio, and encoded-displacement uncertainty on DENSE MRI for kinematics of the descending thoracic and abdominal aorta
Correction of phase offset errors and quantification of background noise, signal-to-noise ratio, and encoded-displacement uncertainty on DENSE MRI for kinematics of the descending thoracic and abdominal aorta
Displacement encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI) is a technique that encodes tissue d...
Amide proton transfer-weighted MRI for renal tumors: Comparison with diffusion-weighted imaging
Amide proton transfer-weighted MRI for renal tumors: Comparison with diffusion-weighted imaging
Materials and methodsParticipants with renal tumor underwent preoperative multiparametric MRI, including APTw MRI and DWI....
Characterization of white matter lesions in multiple sclerosis using proton density and T1-relaxation measures
Characterization of white matter lesions in multiple sclerosis using proton density and T1-relaxation measures
Multiple sclerosis (MS) is a chronic inflammatory and neurodegenerative disease of the central nervous system affecting bo...
Automatic liver segmentation and assessment of liver fibrosis using deep learning with MR T1-weighted images in rats
Automatic liver segmentation and assessment of liver fibrosis using deep learning with MR T1-weighted images in rats
Liver fibrosis is the progressive process of repeated injury of hepatocytes by different causes, and excessive deposition ...
Diagnostic performance of 3.0 T unenhanced Dixon water-fat separation coronary MR angiography in patients with low-to-intermediate risk of coronary artery disease
Diagnostic performance of 3.0 T unenhanced Dixon water-fat separation coronary MR angiography in patients with low-to-intermediate risk of coronary artery disease
Coronary artery disease (CAD) remains the leading cause of mortality and morbidity worldwide [1]. In the current routine c...
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