| 2021 | Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2021 | Quality assessment of meningioma radiomics studies: Bridging the gap between exploratory research and clinical applications | EUROPEAN JOURNAL OF RADIOLOGY |
| 2021 | MRI Features May Predict Molecular Features of Glioblastoma in Isocitrate Dehydrogenase Wild-Type Lower-Grade Gliomas | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2021 | Differentiation of recurrent diffuse glioma from treatment-induced change using amide proton transfer imaging: incremental value to diffusion and perfusion parameters | NEURORADIOLOGY |
| 2021 | Diffusion tensor and postcontrast T1-weighted imaging radiomics to differentiate the epidermal growth factor receptor mutation status of brain metastases from non-small cell lung cancer | NEURORADIOLOGY |
| 2021 | Machine Learning Based Radiomic HPV Phenotyping of Oropharyngeal SCC: A Feasibility Study Using MRI | LARYNGOSCOPE |
| 2021 | Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation
| SCIENTIFIC REPORTS |
| 2021 | Cerebral Infarction Observed on Brain MRI in Unconscious Out-of-Hospital Cardiac Arrest Survivors: A Pilot Study | NEUROCRITICAL CARE |
| 2021 | Biochemical Remission after Cabergoline Withdrawal in Hyperprolactinemic Patients with Visible Remnant Pituitary Adenoma | JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM |
| 2021 | Predicting Amyloid Pathology in Mild Cognitive Impairment Using Radiomics Analysis of Magnetic Resonance Imaging | JOURNAL OF ALZHEIMERS DISEASE |
| 2021 | Hyperattenuating lesions after mechanical thrombectomy in acute ischaemic stroke: factors predicting symptomatic haemorrhage and clinical outcomes | CLINICAL RADIOLOGY |
| 2020 | Deep-learned time-signal intensity pattern analysis using an autoencoder captures magnetic resonance perfusion heterogeneity for brain tumor differentiation
| SCIENTIFIC REPORTS |
| 2020 | Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls
| SCIENTIFIC REPORTS |
| 2020 | Contrast-Enhanced High-Resolution Intracranial Vessel Wall MRI with Compressed Sensing: Comparison with Conventional T1 Volumetric Isotropic Turbo Spin Echo Acquisition Sequence
| KOREAN JOURNAL OF RADIOLOGY |
| 2020 | Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas | EUROPEAN RADIOLOGY |
| 2020 | Quality Reporting of Radiomics Analysis in Mild Cognitive Impairment and Alzheimer's Disease: A Roadmap for Moving Forward
| 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 |
| 2020 | Radiomics model predicts granulation pattern in growth hormone-secreting pituitary adenomas | PITUITARY |
| 2020 | A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance | EUROPEAN RADIOLOGY |
| 2020 | Survival, Prognostic Factors, and Volumetric Analysis of Extent of Resection for Anaplastic Gliomas
| CANCER RESEARCH AND TREATMENT |
| 2020 | Squamous Cell Carcinoma and Lymphoma of the Oropharynx: Differentiation Using a Radiomics Approach
| YONSEI MEDICAL JOURNAL |
| 2020 | Differentiating patients with schizophrenia from healthy controls by hippocampal subfields using radiomics | SCHIZOPHRENIA RESEARCH |
| 2020 | Magnetic resonance imaging-based 3-dimensional fractal dimension and lacunarity analyses may predict the meningioma grade | EUROPEAN RADIOLOGY |
| 2020 | Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation
| SCIENTIFIC REPORTS |
| 2020 | Predicting survival using the 2016 World Health Organization classification for anaplastic glioma | CLINICAL NEUROPATHOLOGY |
| 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 |
| 2020 | Factors for Enhancement of Intracranial Atherosclerosis in High Resolution Vessel Wall MRI in Ischemic Stroke Patients
| FRONTIERS IN NEUROLOGY |
| 2020 | Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade
| Brain Tumor Research and Treatment |
| 2020 | Diffusion tensor imaging radiomics in lower-grade glioma: improving subtyping of isocitrate dehydrogenase mutation status | NEURORADIOLOGY |
| 2019 | Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma | 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 |
| 2019 | Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging | European Radiology |
| 2019 | The added prognostic value of radiological phenotype combined with clinical features and molecular subtype in anaplastic gliomas | JOURNAL OF NEURO-ONCOLOGY |
| 2019 | Differentiation between spinal cord diffuse midline glioma with histone H3 K27M mutation and wild type: comparative magnetic resonance imaging | NEURORADIOLOGY |
| 2018 | Comparison of 3D Volumetric Subtraction Technique and 2D Dynamic Contrast Enhancement Technique in the Evaluation of Contrast Enhancement for Diagnosing Cushing's Disease
| Investigative Magnetic Resonance Imaging |
| 2018 | Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction | RADIOLOGY |
| 2018 | Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach | EUROPEAN RADIOLOGY |
| 2018 | Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors
| SCIENTIFIC REPORTS |
| 2018 | Impact of white matter hyperintensities on the prognosis of cryptogenic stroke patients
| PLOS ONE |
| 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 |
| 2018 | Detection of clinically occult primary tumours in patients with cervical metastases of unknown primary tumours: comparison of three-dimensional THRIVE MRI, two-dimensional spin-echo MRI, and contrast-enhanced CT | CLINICAL RADIOLOGY |
| 2018 | Intra-Suprasellar Schwannoma Presumably Originating from the Internal Carotid Artery Wall : Case Report and Review of the Literature | CLINICAL NEURORADIOLOGY |
| 2018 | Prediction of IDH1-Mutation and 1p/19q-Codeletion Status Using Preoperative MR Imaging Phenotypes in Lower Grade Gliomas | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2018 | Hypofractionated Re-irradiation after Maximal Surgical Resection for Recurrent Glioblastoma: Therapeutic Adequacy and Its Prognosticators of Survival
| YONSEI MEDICAL JOURNAL |
| 2018 | Amide proton transfer imaging for differentiation of benign and atypical meningiomas | EUROPEAN RADIOLOGY |
| 2017 | Long-term outcomes of concomitant chemoradiotherapy with temozolomide for newly diagnosed glioblastoma patients: A single-center analysis.
| MEDICINE |
| 2017 | Elderly patients with newly diagnosed glioblastoma: can preoperative imaging descriptors improve the predictive power of a survival model? | 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 |
| 2017 | Gadolinium deposition in the brain: association with various GBCAs using a generalized additive model | EUROPEAN RADIOLOGY |
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