Magnetic Resonance in Medicine

Papers
(The H4-Index of Magnetic Resonance in Medicine is 32. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
MR elastography: Principles, guidelines, and terminology125
Review and consensus recommendations on clinical APT‐weighted imaging approaches at 3T: Application to brain tumors101
Analysis of deep complex‐valued convolutional neural networks for MRI reconstruction and phase‐focused applications76
FSL‐MRS: An end‐to‐end spectroscopy analysis package69
A standard system phantom for magnetic resonance imaging64
Combined diffusion‐relaxometry microstructure imaging: Current status and future prospects58
Current state and guidance on arterial spin labeling perfusion MRI in clinical neuroimaging54
Magnetic resonance parameter mapping using model‐guided self‐supervised deep learning54
Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity‐weighted coil combination53
Mapping of CSF transport using high spatiotemporal resolution dynamic contrast‐enhanced MRI in mice: Effect of anesthesia52
Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients49
Protocols for multi‐site trials using hyperpolarized 129Xe MRI for imaging of ventilation, alveolar‐airspace size, and gas exchange: A position paper from the 129Xe MRI clinical 48
PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images47
Automated renal segmentation in healthy and chronic kidney disease subjects using a convolutional neural network44
Deep‐learning based super‐resolution for 3D isotropic coronary MR angiography in less than a minute43
Recent Technical Developments in ASL: A Review of the State of the Art41
Training data distribution significantly impacts the estimation of tissue microstructure with machine learning40
Velocity‐selective arterial spin labeling perfusion MRI: A review of the state of the art and recommendations for clinical implementation39
QSM reconstruction challenge 2.0: Design and report of results39
PVP‐coated Gd‐grafted nanodiamonds as a novel and potentially safer contrast agent for in vivo MRI39
Free‐water DTI estimates from single b‐value data might seem plausible but must be interpreted with care39
QSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures38
Pulseq‐CEST: Towards multi‐site multi‐vendor compatibility and reproducibility of CEST experiments using an open‐source sequence standard37
Three‐dimensional self‐attention conditional GAN with spectral normalization for multimodal neuroimaging synthesis37
Results and interpretation of a fitting challenge for MR spectroscopy set up by the MRS study group of ISMRM36
A generic deep learning model for reduced gadolinium dose in contrast‐enhanced brain MRI35
Fast online‐customized (FOCUS) parallel transmission pulses: A combination of universal pulses and individual optimization34
Distortion‐free, high‐isotropic‐resolution diffusion MRI with gSlider BUDA‐EPI and multicoil dynamic B0 shimming33
Whole‐brain amide CEST imaging at 3T with a steady‐state radial MRI acquisition33
On the signal‐to‐noise ratio benefit of spiral acquisition in diffusion MRI32
SuperDTI: Ultrafast DTI and fiber tractography with deep learning32
Magnetization‐prepared GRASP MRI for rapid 3D T1 mapping and fat/water‐separated T1 mapping32
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