| Clinical applications of chemical exchange saturation transfer (CEST) MRI |
43 |
| Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI |
36 |
| Quantitative MRI and Spectroscopy of Bone Marrow |
35 |
| Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI |
35 |
| Background, Current Role, and Potential Applications of Radiogenomics |
29 |
| Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials |
28 |
| Low-field MRI: An MR physics perspective |
26 |
| APT-weighted MRI: Techniques, current neuro applications, and challenging issues |
26 |
| Pseudoprogression of brain tumors |
26 |
| Intra- and interreader reproducibility of PI-RADSv2: A multireader study |
24 |
| Differences in gadolinium retention after repeated injections of macrocyclic MR contrast agents to rats |
23 |
| Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI |
23 |
| Radiomics strategy for glioma grading using texture features from multiparametric MRI |
22 |
| Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI |
21 |
| Interreader agreement of PI-RADS v. 2 in assessing prostate cancer with multiparametric MRI: A study using whole-mount histology as the standard of reference |
21 |
| Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic-Based Model vs. PI-RADS v2 |
20 |
| Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI |
20 |
| Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation |
19 |
| The physics of MRI safety |
19 |
| Role of texture analysis in breast MRI as a cancer biomarker: A review |
19 |
| Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings |
19 |
| Contrast-enhanced MRI for breast cancer screening |
18 |
| Diagnostic performance of MR for hepatocellular carcinoma based on LI-RADS v compared with v2017 |
17 |
| Diffusion MRI of cancer: From low to high b-values |
17 |
| Preoperative tumor texture analysis on MRI predicts high-risk disease and reduced survival in endometrial cancer |
17 |
| Deep neural network-based computer-assisted detection of cerebral aneurysms in MR angiography |
17 |
| Test-retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial |
16 |
| Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression |
16 |
| Abbreviated MRI of the Breast: Does It Provide Value? |
16 |
| Validation of Liver Imaging Reporting and Data System 2017 (LI-RADS) Criteria for Imaging Diagnosis of Hepatocellular Carcinoma |
16 |
| Evaluation of MRI for diagnosis of extraprostatic extension in prostate cancer |
15 |
| Multiparametric MRI of the breast: A review |
15 |
| 4D Flow MRI Quantification of Mitral and Tricuspid Regurgitation: Reproducibility and Consistency Relative to Conventional MRI |
15 |
| Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma |
15 |
| Characterization of Adrenal Lesions on Unenhanced MRI Using Texture Analysis: A Machine-Learning Approach |
15 |
| Radiomic Features on MRI Enable Risk Categorization of Prostate Cancer Patients on Active Surveillance: Preliminary Findings |
15 |
| Fully automatic segmentation on prostate MR images based on cascaded fully convolution network |
15 |
| Differentiation between glioblastoma, brain metastasis and subtypes using radiomics analysis |
14 |
| Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy |
14 |
| 3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior cruciate ligament subjects |
14 |
| Accelerated T-2 mapping combining parallel MRI and model-based reconstruction: GRAPPATINI |
14 |
| Accessible magnetic resonance imaging: A review |
14 |
| Automated image quality evaluation of T-2-weighted liver MRI utilizing deep learning architecture |
13 |
| Radiomic analysis of soft tissues sarcomas can distinguish intermediate from high-grade lesions |
13 |
| Na-23 MRI depicts early changes in ion homeostasis in skeletal muscle tissue of patients with duchenne muscular dystrophy |
13 |
| Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study |
13 |
| MRI characterization of brown adipose tissue under thermal challenges in normal weight, overweight, and obese young men |
13 |
| Comparison of reduced field-of-view diffusion-weighted imaging (DWI) and conventional DWI techniques in the assessment of rectal carcinoma at 3.0T: Image quality and histological T staging |
13 |
| DCE-MRI texture analysis with tumor subregion partitioning for predicting Ki-67 status of estrogen receptor-positive breast cancers |
13 |
| Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study |
13 |
