| The present and future of deep learning in radiology |
34 |
| Diagnosis and staging of hepatocellular carcinoma (HCC): current guidelines |
33 |
| The future of radiology augmented with Artificial Intelligence: A strategy for success |
27 |
| CT-based radiomic model predicts high grade of clear cell renal cell carcinoma |
24 |
| Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external validation |
23 |
| Clear cell renal cell carcinoma: CT-based radiomics features for the prediction of Fuhrman grade |
22 |
| Texture analysis and machine learning to characterize suspected thyroid nodules and differentiated thyroid cancer: Where do we stand? |
18 |
| Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method |
17 |
| The past, present and future role of artificial intelligence in imaging |
16 |
| Metal artifact reduction techniques in musculoskeletal CT-imaging |
16 |
| Nephrotoxicity of iodinated contrast media: From pathophysiology to prevention strategies |
16 |
| Clinically significant prostate cancer detection on MRI: A radiomic shape features study |
15 |
| Meta-analysis of ultrasound for cervical lymph nodes in papillary thyroid cancer: Diagnosis of central and lateral compartment nodal metastases |
15 |
| Texture analysis and machine learning of non-contrast T1-weighted MR images in patients with hypertrophic cardiomyopathy-Preliminary results |
15 |
| Medial meniscal extrusion: Detection, evaluation and clinical implications |
14 |
| Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases |
14 |
| Evaluation of median nerve by shear wave elastography and diffusion tensor imaging in carpal tunnel syndrome |
14 |
| Comparison of PI-RADS version 2 and PI-RADS version 2.1 for the detection of transition zone prostate cancer |
13 |
| Dual-layer spectral computed tomography: Virtual non-contrast in comparison to true non-contrast images |
13 |
| CT and MR imaging for solid renal mass characterization |
13 |
| Ablation treatment of primary and secondary liver tumors under contrast-enhanced ultrasound guidance in field practice of interventional ultrasound centers. A multicenter study |
13 |
| Yttrium-90 radioembolization for unresectable metastatic neuroendocrine liver tumor: A systematic review |
13 |
| Diagnostic performance of coronary CT angiography with ultra-high-resolution CT: Comparison with invasive coronary angiography |
13 |
| Gas-induced susceptibility artefacts on diffusion-weighted MRI of the rectum at 1.5 T - Effect of applying a micro-enema to improve image quality |
13 |
| Accuracy of iodine quantification in dual-layer spectral CT: Influence of iterative reconstruction, patient habitus and tube parameters |
12 |
| Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma |
12 |
| Prostate MRI technical parameters standardization: A systematic review on adherence to PI-RADSv2 acquisition protocol |
11 |
| MRI with diffusion-weighted imaging to predict feasibility of complete cytoreduction with the peritoneal cancer index (PCI) in advanced stage ovarian cancer patients |
11 |
| Using diagnostic reference levels to evaluate the improvement of patient dose optimisation and the influence of recent technologies in radiography and computed tomography |
11 |
| MR elastography is effective for the non-invasive evaluation of fibrosis and necroinflammatory activity in patients with nonalcoholic fatty liver disease |
11 |
| Magnetic resonance imaging based radiomics signature for the preoperative discrimination of stage I-II and III-IV head and neck squamous cell carcinoma |
11 |
| Lymphatic interventions for isolated, iatrogenic chylous ascites: A multi-institution experience |
11 |
| Preoperative histogram analysis of intravoxel incoherent motion (IVIM) for predicting microvascular invasion in patients with single hepatocellular carcinoma |
11 |
| Diagnosis of glioma recurrence using multiparametric dynamic 18F-fluoroethyl-tyrosine PET-MRI |
11 |
| Radiomics analysis enables recurrence prediction for hepatocellular carcinoma after liver transplantation |
11 |
| The validity and reproducibility of the thyroid imaging reporting and data system (TI-RADS) in categorization of thyroid nodules: Multicentre prospective study |
10 |
| MRI-based radiomic signature as predictive marker for patients with head and neck squamous cell carcinoma |
10 |
| PSA-density does not improve bi-parametric prostate MR detection of prostate cancer in a biopsy naive patient population |
10 |
| Incremental value of cardiovascular magnetic resonance feature tracking derived atrial and ventricular strain parameters in a comprehensive approach for the diagnosis of acute myocarditis |
10 |
| Artifact reduction from dental implants using virtual monoenergetic reconstructions from novel spectral detector CT |
10 |
| Basics of iterative reconstruction methods in computed tomography: A vendor-independent overview |
10 |
| The prognostic value of SUVmax measuring on primary lesion and ALN by F-18-FDG PET or PET/CT in patients with breast cancer |
10 |
| Diagnostic accuracy of biparametric vs multiparametric MRI in clinically significant prostate cancer: Comparison between readers with different experience |
10 |
| Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade |
10 |
| Automated plaque analysis for the prognostication of major adverse cardiac events |
10 |
| A deep learning radiomics model for preoperative grading in meningioma |
10 |
| Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging |
10 |
| Support Vector Machines (SVM) classification of prostate cancer Gleason score in central gland using multiparametric magnetic resonance images: A cross-validated study |
10 |
| Noise characteristics of virtual monoenergetic images from a novel detector-based spectral CT scanner |
10 |
| Systematic review and meta-analysis of MRI signs for diagnosis of idiopathic intracranial hypertension |
9 |
