Magnetic Resonance Imaging

Papers
(The H4-Index of Magnetic Resonance Imaging is 24. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution117
Artificial intelligence in medical imaging98
A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification79
Denoising arterial spin labeling perfusion MRI with deep machine learning60
Gadolinium-doped carbon quantum dots loaded magnetite nanoparticles as a bimodal nanoprobe for both fluorescence and magnetic resonance imaging40
Deep pancreas segmentation with uncertain regions of shadowed sets39
Free-running cardiac magnetic resonance fingerprinting: Joint T1/T2 map and Cine imaging38
High-performance low field MRI enables visualization of persistent pulmonary damage after COVID-1938
Radiomic prediction of mutation status based on MR imaging of lung cancer brain metastases34
Meningiomas: Preoperative predictive histopathological grading based on radiomics of MRI33
Visualization of exosomes from mesenchymal stem cells in vivo by magnetic resonance imaging32
Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with glioblastoma31
Motion artifacts reduction in brain MRI by means of a deep residual network with densely connected multi-resolution blocks (DRN-DCMB)31
A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography31
The state-of-the-art and emerging design approaches of double-tuned RF coils for X-nuclei, brain MR imaging and spectroscopy: A review31
A Generative Adversarial Network technique for high-quality super-resolution reconstruction of cardiac magnetic resonance images28
A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database28
Dual-domain cascade of U-nets for multi-channel magnetic resonance image reconstruction28
Improvement of peripheral nerve visualization using a deep learning-based MR reconstruction algorithm27
MRI denoising using progressively distribution-based neural network26
Single-breath-hold T2WI liver MRI with deep learning-based reconstruction: A clinical feasibility study in comparison to conventional multi-breath-hold T2WI liver MRI26
Segmentation of whole breast and fibroglandular tissue using nnU-Net in dynamic contrast enhanced MR images25
Prediction of early response to concurrent chemoradiotherapy in cervical cancer: Value of multi-parameter MRI combined with clinical prognostic factors25
A knowledge-driven feature learning and integration method for breast cancer diagnosis on multi-sequence MRI25
Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study24
Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging24
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