2021 | A diagnostic tree for differentiation of adult pilocytic astrocytomas from high-grade gliomas | EUROPEAN JOURNAL OF RADIOLOGY |
2022 | A fully automatic multiparametric radiomics model for differentiation of adult pilocytic astrocytomas from high-grade gliomas | EUROPEAN RADIOLOGY |
2022 | Adding radiomics to the 2021 WHO updates may improve prognostic prediction for current IDH-wildtype histological lower-grade gliomas with known EGFR amplification and TERT promoter mutation status | EUROPEAN RADIOLOGY |
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 |
2022 | An interpretable radiomics model to select patients for radiotherapy after surgery for WHO grade 2 meningiomas
| RADIATION ONCOLOGY |
2021 | Biochemical Remission after Cabergoline Withdrawal in Hyperprolactinemic Patients with Visible Remnant Pituitary Adenoma | JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM |
2022 | Clinical and diffusion parameters may noninvasively predict TERT promoter mutation status in grade II meningiomas | JOURNAL OF NEURORADIOLOGY |
2022 | Clinical factors and conventional MRI may independently predict progression-free survival and overall survival in adult pilocytic astrocytomas | NEURORADIOLOGY |
2024 | Clinical, qualitative imaging biomarkers, and tumor oxygenation imaging biomarkers for differentiation of midline-located IDH wild-type glioblastomas and H3 K27-altered diffuse midline gliomas in adults | EUROPEAN JOURNAL OF RADIOLOGY |
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 |
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 |
2015 | Differentiation between Cystic Pituitary Adenomas and Rathke Cleft Cysts: A Diagnostic Model Using MRI | AMERICAN JOURNAL OF NEURORADIOLOGY |
2019 | Differentiation between spinal cord diffuse midline glioma with histone H3 K27M mutation and wild type: comparative magnetic resonance imaging | 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 | Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation
| SCIENTIFIC REPORTS |
2020 | Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas | EUROPEAN RADIOLOGY |
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 |
2020 | Diffusion tensor imaging radiomics in lower-grade glioma: improving subtyping of isocitrate dehydrogenase mutation status | NEURORADIOLOGY |
2024 | Diffusion- and Perfusion-Weighted MRI Radiomics for Survival Prediction in Patients with Lower-Grade Gliomas
| YONSEI MEDICAL JOURNAL |
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 |
2023 | Dynamic contrast-enhanced MRI radiomics model predicts epidermal growth factor receptor amplification in glioblastoma, IDH-wildtype | JOURNAL OF NEURO-ONCOLOGY |
2021 | Efficacy and Cerebrospinal Fluid Rhinorrhea after Cabergoline Treatment in Patients with Bioactive Macroprolactinoma
| CANCERS |
2017 | Elderly patients with newly diagnosed glioblastoma: can preoperative imaging descriptors improve the predictive power of a survival model? | JOURNAL OF NEURO-ONCOLOGY |
2022 | Federated learning enables big data for rare cancer boundary detection
| NATURE COMMUNICATIONS |
2018 | Hypofractionated Re-irradiation after Maximal Surgical Resection for Recurrent Glioblastoma: Therapeutic Adequacy and Its Prognosticators of Survival
| YONSEI MEDICAL JOURNAL |
2021 | Identification of magnetic resonance imaging features for the prediction of molecular profiles of newly diagnosed glioblastoma | JOURNAL OF NEURO-ONCOLOGY |
2016 | Incremental Prognostic Value of ADC Histogram Analysis over MGMT Promoter Methylation Status in Patients with Glioblastoma | RADIOLOGY |
2018 | Intra-Suprasellar Schwannoma Presumably Originating from the Internal Carotid Artery Wall : Case Report and Review of the Literature | CLINICAL NEURORADIOLOGY |
2017 | Long-term outcomes of concomitant chemoradiotherapy with temozolomide for newly diagnosed glioblastoma patients: A single-center analysis.
| MEDICINE |
2020 | Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction | EUROPEAN RADIOLOGY |
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 |
2020 | Magnetic resonance imaging-based 3-dimensional fractal dimension and lacunarity analyses may predict the meningioma grade | EUROPEAN RADIOLOGY |
2020 | MR image phenotypes may add prognostic value to clinical features in IDH wild-type lower-grade gliomas | EUROPEAN RADIOLOGY |
2021 | MRI Features May Predict Molecular Features of Glioblastoma in Isocitrate Dehydrogenase Wild-Type Lower-Grade Gliomas | AMERICAN JOURNAL OF NEURORADIOLOGY |
2020 | Predicting survival using the 2016 World Health Organization classification for anaplastic glioma | CLINICAL NEUROPATHOLOGY |
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 |
2016 | Pseudoprogression in glioblastoma patients: the impact of extent of resection | JOURNAL OF NEURO-ONCOLOGY |
2023 | Qualitative and Quantitative Magnetic Resonance Imaging Phenotypes May Predict CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytomas: A Multicenter Study
| KOREAN JOURNAL OF RADIOLOGY |
2021 | Quality assessment of meningioma radiomics studies: Bridging the gap between exploratory research and clinical applications | EUROPEAN JOURNAL OF RADIOLOGY |
2022 | Quality of Radiomics Research on Brain Metastasis: A Roadmap to Promote Clinical Translation
| KOREAN JOURNAL OF RADIOLOGY |
2022 | Quality reporting of radiomics analysis in pituitary adenomas: promoting clinical translation | BRITISH JOURNAL OF RADIOLOGY |
2018 | Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction | RADIOLOGY |
2021 | Radiomics and Deep Learning in Brain Metastases: Current Trends and Roadmap to Future Applications
| Investigative Magnetic Resonance Imaging |
2019 | Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging | European Radiology |
2020 | Radiomics model predicts granulation pattern in growth hormone-secreting pituitary adenomas | PITUITARY |
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 |
2021 | Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma | JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM |
2021 | Radiomics-based prediction of multiple gene alteration incorporating mutual genetic information in glioblastoma and grade 4 astrocytoma, IDH-mutant
| JOURNAL OF NEURO-ONCOLOGY |
2024 | Rethinking extent of resection of contrast-enhancing and non-enhaning tumor: different survival impacts on adult-type diffuse gliomas in 2021 World Health Organization classification | EUROPEAN RADIOLOGY |
2023 | Revisiting prognostic factors in glioma with leptomeningeal metastases: a comprehensive analysis of clinical and molecular factors and treatment modalities
| JOURNAL OF NEURO-ONCOLOGY |
2022 | Sex as a prognostic factor in adult-type diffuse gliomas: an intergrated clinical and molecular analysis according to the 2021 WHO classification | JOURNAL OF NEURO-ONCOLOGY |
2020 | Survival, Prognostic Factors, and Volumetric Analysis of Extent of Resection for Anaplastic Gliomas
| CANCER RESEARCH AND TREATMENT |
2023 | The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 1-Key Points of the Fifth Edition and Summary of Imaging Findings on Adult-Type Diffuse Gliomas | JOURNAL OF MAGNETIC RESONANCE IMAGING |
2023 | The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 2-Summary of Imaging Findings on Pediatric-Type Diffuse High-Grade Gliomas, Pediatric-Type Diffuse Low-Grade Gliomas, and Circumscribed Astrocytic Gliomas | JOURNAL OF MAGNETIC RESONANCE IMAGING |
2023 | The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 3-Summary of Imaging Findings on Glioneuronal and Neuronal Tumors | JOURNAL OF MAGNETIC RESONANCE IMAGING |