| 2022 | Dual-Energy Computed Tomography Quantification of Extravasated Iodine and Hemorrhagic Transformation after Thrombectomy
| JOURNAL OF STROKE |
| 2022 | Quality of Radiomics Research on Brain Metastasis: A Roadmap to Promote Clinical Translation
| KOREAN JOURNAL OF RADIOLOGY |
| 2021 | Radiomics-based prediction of multiple gene alteration incorporating mutual genetic information in glioblastoma and grade 4 astrocytoma, IDH-mutant
| JOURNAL OF NEURO-ONCOLOGY |
| 2021 | A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm
| YONSEI MEDICAL JOURNAL |
| 2021 | Pre- and Post-Treatment Imaging of Primary Central Nervous System Tumors in the Molecular and Genetic Era
| KOREAN JOURNAL OF RADIOLOGY |
| 2021 | Magnetic Resonance Imaging-Visible Perivascular Spaces in the Basal Ganglia Are Associated With the Diabetic Retinopathy Stage and Cognitive Decline in Patients With Type 2 Diabetes
| FRONTIERS IN AGING NEUROSCIENCE |
| 2021 | Dynamic contrast-enhanced MRI may be helpful to predict response and prognosis after bevacizumab treatment in patients with recurrent high-grade glioma: comparison with diffusion tensor and dynamic susceptibility contrast imaging | NEURORADIOLOGY |
| 2021 | Efficacy and Cerebrospinal Fluid Rhinorrhea after Cabergoline Treatment in Patients with Bioactive Macroprolactinoma
| CANCERS |
| 2021 | A diagnostic tree for differentiation of adult pilocytic astrocytomas from high-grade gliomas | EUROPEAN JOURNAL OF RADIOLOGY |
| 2021 | Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging | EUROPEAN RADIOLOGY |
| 2021 | An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum | TRANSLATIONAL PSYCHIATRY |
| 2021 | Preoperative MRI Evaluation of Thyroid Cartilage Invasion in Patients with Laryngohypopharyngeal Cancer: Comparison of Contrast-Enhanced 2D Spin-Echo and 3D T1-Weighted Radial Gradient Recalled-Echo Techniques | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2021 | Magnetic Resonance Imaging Parameters for Noninvasive Prediction of Epidermal Growth Factor Receptor Amplification in Isocitrate Dehydrogenase-Wild-Type Lower-Grade Gliomas: A Multicenter Study | NEUROSURGERY |
| 2021 | Identification of magnetic resonance imaging features for the prediction of molecular profiles of newly diagnosed glioblastoma | JOURNAL OF NEURO-ONCOLOGY |
| 2021 | Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results
| PLOS ONE |
| 2021 | Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma | JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM |
| 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 |
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