Improving the Sensitivity of Task-Based Multi-Echo Functional Magnetic Resonance Imaging via <i>T</i>₂* Mapping Using Synthetic Data-Driven Deep Learning

A Biomechanical Comparison Study of Plate-Nail and Dual-Plate Fixation in AO/OTA 41-C2 Tibial Plateau Fractures

FlexDTI: flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning

Anti-motion Ultrafast T₂ Mapping Technique for Quantitative Detection of the Normal-Appearing Corticospinal Tract Changes in Subacute-Chronic Stroke Patients with Distal Lesions

Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI

Spiral time-of-flight magnetic resonance angiography for intracranial vascular imaging: performance compared to conventional Cartesian angiogram

Spatial-Temporal Characteristics of Brain Activity in Autism Spectrum Disorder Based on Hidden Markov Model and Dynamic Graph Theory: A Resting-State fMRI Study

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI

Ultrafast diffusion tensor imaging based on deep learning and multi-slice information sharing

Positive Progesterone Receptor Expression in Meningioma May Increase the Transverse Relaxation: First Prospective Clinical Trial Using Single-Shot Ultrafast T₂ Mapping

A Comprehensive Multi-modal Domain Adaptative Aid Framework for Brain Tumor Diagnosis

Preoperative Subtyping of WHO Grade 1 Meningiomas Using a Single-Shot Ultrafast MR T2 Mapping

Sub-second whole brain T₂ mapping via multiband SENSE multiple overlapping-echo detachment imaging and deep learning

Intravoxel incoherent motion magnetic resonance imaging reconstruction from highly under-sampled diffusion-weighted PROPELLER acquisition data via physics-informed residual feedback unrolled network

DSC-MRI derived relative CBV maps synthesized from IVIM-MRI data: Application in glioma IDH mutation status identification

High-efficient deep learning-based DTI reconstruction with flexible diffusion gradient encoding scheme

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction

High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning

Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence

Ferroptosis MRI for early detection of anticancer drug- induced acute cardiac/kidney injuries

Rapid high-fidelity T-2* mapping using single-shot overlapping-echo acquisition and deep learning reconstruction

Free-breathing and instantaneous abdominal T-2 mapping via single-shot multiple overlapping-echo acquisition and deep learning reconstruction

Learned spatiotemporal correlation priors for CEST image denoising using incorporated global-spectral convolution neural network

Toward Better Generalization Using Synthetic Data: A Domain Adaptation Framework for T2 Mapping via Multiple Overlapping-Echo Acquisition

Learning from synthetic data for reference-free Nyquist ghost correction and parallel imaging reconstruction of echo planar imaging

Multi-slice compressed sensing MRI reconstruction based on deep fusion connection network

Joint optimization of Cartesian sampling patterns and reconstruction for single-contrast and multi-contrast fast magnetic resonance imaging

Single-shot multi-parametric mapping based on multiple overlapping-echo detachment (MOLED) imaging

High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning

IMPULSED model based cytological feature estimation with U-Net: Application to human brain tumor at 3T

Single-shot T-2 mapping via multi-echo-train multiple overlapping-echo detachment planar imaging and multitask deep learning

A multimodal domain adaptive segmentation framework for IDH genotype prediction

Editorial: Fast Multi-Parameter Magnetic Resonance Neuroimaging

Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance

Super-resolved reconstruction method for spatiotemporally encoded magnetic resonance imaging based on deep neural network

A simultaneous multi-slice T-2 mapping framework based on overlapping-echo detachment planar imaging and deep learning reconstruction

Ultrafast water-fat separation using deep learning-based single-shot MRI

Model-Based SyntheTic Data-Driven Learning (MOST-DL): Application in Single-Shot T-2 Mapping With Severe Head Motion Using Overlapping-Echo Acquisition

Super-resolved water/fat image reconstruction based on single-shot spatiotemporally encoded MRI

Fast chemical exchange saturation transfer imaging based on PROPELLER acquisition and deep neural network reconstruction

A dual-domain deep lattice network for rapid MRI reconstruction

A divide-and-conquer approach to compressed sensing MRI

Undersampled MR image reconstruction using an enhanced recursive residual network

Robust Single-Shot T-2 Mapping via Multiple Overlapping-Echo Acquisition and Deep Neural Network

Ultrafast multi-slice chemical exchange saturation transfer imaging scheme based on segmented spatiotemporal encoding

Lung Nodule Detection with a 3D ConvNet via IoU Self-normalization and Maxout Unit

G-HAPNet: A Novel Structure for Single Image Super-Resolution

Fast quantitative susceptibility reconstruction via total field inversion with improved weighted L0 norm approximation

Single-shot T-2 mapping using overlapping-echo detachment planar imaging and a deep convolutional neural network

Accelerating multi-slice spatiotemporally encoded MRI with simultaneous echo refocusing

Referenceless distortion correction of gradient-echo echo-planar imaging under inhomogeneous magnetic fields based on a deep convolutional neural network

Simultaneous single- and multi-contrast super-resolution for brain MRI images based on a convolutional neural network

Weighted total variation using split Bregman fast quantitative susceptibility mapping reconstruction method

Motion-tolerant diffusion mapping based on single-shot overlapping-echo detachment (OLED) planar imaging

Compressed sensing MRI using total variation regularization with K-space decomposition

A segmentation-aware deep fusion network for compressed sensing MRI

A deep ensemble network for compressed sensing MRI

High efficient reconstruction of single-shot magnetic resonance T2 mapping through overlapping echo detachment and DenseNet

Single-Shot T-2 Mapping Through OverLapping-Echo Detachment (OLED) Planar Imaging

A fast chemical exchange saturation transfer imaging scheme based on single-shot spatiotemporal encoding

Changes in brain iron concentration after exposure to high-altitude hypoxia measured by quantitative susceptibility mapping

Rapid reconstruction of quantitative susceptibility mapping via improved 0norm approximation

Variable density sampling and non-Cartesian super-resolved reconstruction for spatiotemporally encoded single-shot MRI

Quantitative Susceptibility Mapping Using Structural Feature Based Collaborative Reconstruction (SFCR) in the Human Brain

Ultrafast multi-slice spatiotemporally encoded MRI with slice-selective dimension segmented

Flexible reduced field of view magnetic resonance imaging based on single-shot spatiotemporally encoded technique

Fast magnetic susceptibility reconstruction using L0 norm of gradient

Super-resolved enhancing and edge deghosting (SEED) for spatiotemporally encoded single-shot MRI

Water-fat separation from a single spatiotemporally encoded echo based on nominal k-space peaking and joint regularized estimation

Observation of true and pseudo NOE signals using CEST-MRI and CEST-MRS sequences with and without lipid suppression

FAST MAGNETIC SUSCEPTIBILITY RECONSTRUCTION USING L0 NORM OF GRADIENT

Fast 3D gradient shimming by only 2 × 2 pixels in XY plane for NMR-solution samples

Localised two-dimensional correlated spectroscopy based on Hadamard encoding technique

Chemical exchange saturation transfer MRI using intermolecular double-quantum coherences with multiple refocusing pulses

Brown adipose tissue mapping in rats with combined intermolecular double-quantum coherence and Dixon water-fat MRI

Hadamard encoded 2D correlation spectroscopy in inhomogeneous fields

An efficient de-convolution reconstruction method for spatiotemporal-encoding single-scan 2D MRI

An aliasing artifacts reducing approach with random undersampling for spatiotemporally encoded single-shot MRI

Partial Fourier transform reconstruction for single-shot MRI with linear frequency-swept excitation

Intermolecular double-quantum coherence imaging without coherence selection gradients and its application in in vivo MRI

High-resolution NMR spectroscopy in inhomogeneous fields via Hadamard-encoded intermolecular double-quantum coherences

Flat pancake distant dipolar fields for enhancement of intermolecular multiple-quantum coherence signals

Observation of intermolecular double-quantum coherence signal dips in nuclear magnetic resonance

Fast high-resolution 2D correlation spectroscopy in inhomogeneous fields via Hadamard intermolecular multiple quantum coherences technique

High-resolution MR spectroscopy via intermolecular double-quantum coherences in inhomogeneous B-0 and B-1 fields

High-resolution NMR spectroscopy in unstable and inhomogeneous fields via stroboscopic acquisition

Apparent diffusion behaviors of spins in the presence of distant dipolar field in two-component solution NMR

Synthesis of magnetic, fluorescent and mesoporous core-shell-structured nanoparticles for imaging, targeting and photodynamic therapy

Highly Efficient Square Wave Distant Dipolar Field and Its Application for In Vivo MRI

High-resolution two-dimensional correlation spectroscopy in inhomogeneous fields: New application of intermolecular zero-quantum coherences

Iterative thresholding compressed sensing MRI based on contourlet transform

Intermolecular double-quantum coherence NMR spectroscopy in moderate inhomogeneous fields

Apparent diffusion behaviour of intermolecular double-quantum coherence modulated by a distant dipolar field in solution NMR

High-resolution NMR spectroscopy in inhomogeneous fields via heteronuclear intermolecular multiple-quantum coherences

Monte Carlo simulation of liquid self-diffusion with surface relaxation

Draining algorithm for the maximum flow problem

Contourlet based MR image reconstruction via reweighted L1-minimization

High-resolution NMR spectra under inhomogeneous fields via intermolecular double-quantum coherences

Intermolecular multiple-quantum coherence NMR signals modulated by double distant dipolar fields

Improvement in the contrast of CEST MRI via intermolecular double quantum coherences

High-resolution NMR spectra in inhomogeneous fields utilizing the CRAZED sequence without coherence selection gradients

Computer simulation of liquid self-diffusion in cylindrical model systems

Improvement of one-dimensional gradient shimming method in nuclear magnetic resonance experiments

Compressed sensing MRI based on nonsubsampled contourlet transform

Investigations on the effects of NMR experimental conditions in human urine and serum metabolic profiles

A novel NMR simulation algorithm and its potential application in in vivo research

Multi-focus image fusing based on non-negative matrix factorization

Modeling and simulation of magnetic resonance imaging based on intermolecular multiple quantum coherences

Propagator formalism and computer simulation of restricted diffusion behaviors of inter-molecular multiple-quantum coherences

Finite difference simulation of diffusion behaviors under inter- and intra-molecular multiple-quantum coherences in liquid NMR

Multiplet patterns due to co-existing intermolecular dipolar and intramolecular scalar couplings in liquid nuclear magnetic resonance

A simulation algorithm based on Bloch equations and product operator matrix: Application to dipolar and scalar couplings