Magnetic Resonance Imaging

Papers
(The H4-Index of Magnetic Resonance Imaging is 22. 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
A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification115
High-performance low field MRI enables visualization of persistent pulmonary damage after COVID-1941
Meningiomas: Preoperative predictive histopathological grading based on radiomics of MRI34
Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with glioblastoma34
MRI-based peritumoral radiomics analysis for preoperative prediction of lymph node metastasis in early-stage cervical cancer: A multi-center study31
Improvement of peripheral nerve visualization using a deep learning-based MR reconstruction algorithm31
A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database31
Segmentation of whole breast and fibroglandular tissue using nnU-Net in dynamic contrast enhanced MR images30
A Generative Adversarial Network technique for high-quality super-resolution reconstruction of cardiac magnetic resonance images30
Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study29
Single-breath-hold T2WI liver MRI with deep learning-based reconstruction: A clinical feasibility study in comparison to conventional multi-breath-hold T2WI liver MRI29
Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging28
10.5 T MRI static field effects on human cognitive, vestibular, and physiological function25
Chest MRI of patients with COVID-1924
Recent advances on optic nerve magnetic resonance imaging and post-processing23
Improved discrimination of molecular subtypes in invasive breast cancer: Comparison of multiple quantitative parameters from breast MRI23
Quantitative MRI: Defining repeatability, reproducibility and accuracy for prostate cancer imaging biomarker development23
Cardiac MRI for the prognostication of heart failure with preserved ejection fraction: A systematic review and meta-analysis23
High-performance rapid MR parameter mapping using model-based deep adversarial learning23
Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images23
Radiomic machine learning for pretreatment assessment of prognostic risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion22
Effect of hepatic steatosis on native T1 mapping of 3T magnetic resonance imaging in the assessment of T1 values for patients with non-alcoholic fatty liver disease22
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