| 2018 | Amide proton transfer imaging for differentiation of benign and atypical meningiomas | EUROPEAN RADIOLOGY |
| 2019 | Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma | EUROPEAN RADIOLOGY |
| 2017 | Amide proton transfer imaging to discriminate between low- and high-grade gliomas: added value to apparent diffusion coefficient and relative cerebral blood volume | EUROPEAN RADIOLOGY |
| 2012 | Clinical and ultrasonographic findings affecting nondiagnostic results upon the second fine needle aspiration for thyroid nodules | ANNALS OF SURGICAL ONCOLOGY |
| 2019 | Differentiation between spinal cord diffuse midline glioma with histone H3 K27M mutation and wild type: comparative magnetic resonance imaging | NEURORADIOLOGY |
| 2020 | Diffusion tensor imaging radiomics in lower-grade glioma: improving subtyping of isocitrate dehydrogenase mutation status | NEURORADIOLOGY |
| 2021 | Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics
| NEURO-ONCOLOGY |
| 2013 | Histological characteristics of small hepatocellular carcinomas showing atypical enhancement patterns on gadoxetic acid-enhanced MR imaging | JOURNAL OF MAGNETIC RESONANCE IMAGING |
| 2016 | Incremental Prognostic Value of ADC Histogram Analysis over MGMT Promoter Methylation Status in Patients with Glioblastoma | RADIOLOGY |
| 2020 | Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction | EUROPEAN RADIOLOGY |
| 2020 | MR image phenotypes may add prognostic value to clinical features in IDH wild-type lower-grade gliomas | EUROPEAN RADIOLOGY |
| 2018 | Prediction of IDH1-Mutation and 1p/19q-Codeletion Status Using Preoperative MR Imaging Phenotypes in Lower Grade Gliomas | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2018 | Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach | EUROPEAN RADIOLOGY |
| 2017 | Primary central nervous system lymphoma and atypical glioblastoma: differentiation using the initial area under the curve derived from dynamic contrast-enhanced MR and the apparent diffusion coefficient | EUROPEAN RADIOLOGY |
| 2018 | Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction | RADIOLOGY |
| 2019 | Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging | European Radiology |
| 2019 | Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors
| Korean Journal of Radiology |
| 2020 | Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas | EUROPEAN RADIOLOGY |
| 2015 | The Added Prognostic Value of Preoperative Dynamic Contrast-Enhanced MRI Histogram Analysis in Patients with Glioblastoma: Analysis of Overall and Progression-Free Survival | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2019 | The added prognostic value of radiological phenotype combined with clinical features and molecular subtype in anaplastic gliomas | JOURNAL OF NEURO-ONCOLOGY |
| 2017 | The Initial Area Under the Curve Derived from Dynamic Contrast-Enhanced MRI Improves Prognosis Prediction in Glioblastoma with Unmethylated MGMT Promoter | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2018 | Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of IDH1-Mutation and 1p/19q-Codeletion Status in World Health Organization Grade II Gliomas | AMERICAN JOURNAL OF NEURORADIOLOGY |
