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

Towards 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

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

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

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

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

Undersampled MR image reconstruction using an enhanced recursive residual 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

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

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

Accelerating multi-slice spatiotemporally encoded MRI with simultaneous echo refocusing

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

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 deep ensemble network for compressed sensing MRI

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

A segmentation-aware deep fusion network for compressed sensing MRI

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 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

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

An aliasing artifacts reducing approach with random undersampling for spatiotemporally encoded single-shot 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 NMR spectroscopy in unstable and inhomogeneous fields via stroboscopic acquisition

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

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

Contourlet based MR image reconstruction via reweighted L1-minimization

Draining algorithm for the maximum flow problem

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

Compressed sensing MRI based on nonsubsampled contourlet transform

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

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