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2. MRI analysis to map interstitial flow in the brain tumor microenvironment
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3. Application of DCE-MR Imaging in Classification of Brain Tumors
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4. Review of tracer kinetic models in evaluation of gliomas using dynamic contrast-enhanced imaging
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5. Machine Learning Techniques to Classify Brain Tumor
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6. Dynamic Contrast-Enhanced MR Perfusion in Differentiation of Benign and Malignant Brain Lesions
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7. Prognostic Nomograms for Primary High-Grade Glioma Patients in Adult: A Retrospective Study Based on the SEER Database
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8. Diagnostic Role of Diffusion-Weighted and Dynamic Contrast-Enhanced Perfusion MR Imaging in Paragangliomas and Schwannomas in the Head and Neck
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9. Quantitative pharmacokinetic analysis of high-temporal-resolution dynamic contrast-enhanced MRI to differentiate the normal-appearing pituitary gland from pituitary macroadenoma
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10. Medical Monitoring Data of Dynamic Contrast Enhanced Intelligent Information Image with MR in Postoperative Infection of Intracranial Gliomas (Preprint)
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11. Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning
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12. Imaging-Based Algorithm for the Local Grading of Glioma
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13. Noninvasive Prediction of TERT Promoter Mutations in High-Grade Glioma by Radiomics Analysis Based on Multiparameter MRI
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14. Peritumor Edema Serves as an Independent Predictive Factor of Recurrence Patterns and Recurrence-Free Survival for High-Grade Glioma
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15. Nomograms for predicting the overall survival of patients with cerebellar glioma: an analysis of the surveillance epidemiology and end results (SEER) database
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