| 2024-04 |
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
|
| 2024-03 |
Added prognostic value of 3D deep learning-derived features from preoperative MRI for adult-type diffuse gliomas |
Neuro-Oncology
|
| 2024-02 |
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
|
| 2023-12 |
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
|
| 2023-12 |
Association of choroid plexus volume with motor symptoms and dopaminergic degeneration in Parkinson’s disease |
Journal of Neurology, Neurosurgery and Psychiatry
|
| 2023-11 |
Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports |
EUROPEAN RADIOLOGY
|
| 2023-10 |
Association between choroid plexus volume and cognition in Parkinson disease |
European Journal of Neurology
|
| 2023-09 |
Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning |
European Radiology
|
| 2023-09 |
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
|
| 2023-09 |
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
|
| 2023-09 |
Dynamic contrast-enhanced MRI radiomics model predicts epidermal growth factor receptor amplification in glioblastoma, IDH-wildtype |
Journal of Neuro-Oncology
|
| 2023-09 |
A Radiomics-Based Model for Potentially More Accurate Identification of Subtypes of Breast Cancer Brain Metastases |
Yonsei Medical Journal
|
| 2023-08 |
An interpretable multiparametric radiomics model of basal ganglia to predict dementia conversion in Parkinson’s disease |
npj Parkinson's disease
|
| 2023-06 |
Fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, ymphoma, and metastasis |
Journal of Neuroradiology
|
| 2023-03 |
Revisiting prognostic factors in glioma with leptomeningeal metastases: a comprehensive analysis of clinical and molecular factors and treatment modalities |
Journal of Neuro-Oncology
|
| 2023-03 |
Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study |
NEURO-ONCOLOGY
|
| 2023-02 |
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
|
| 2022-12 |
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
|
| 2022-12 |
Federated learning enables big data for rare cancer boundary detection |
Nature Communications
|
| 2022-12 |
Development and Validation of MRI-Based Radiomics Models for Diagnosing Juvenile Myoclonic Epilepsy |
KOREAN JOURNAL OF RADIOLOGY
|
| 2022-11 |
Leptomenngeal metastases in glioma revisited: incidence and molecular predictors based on postcontrast fluid-attenuated inversion recovery imaging |
Journal of Neurosurgery
|
| 2022-10 |
Quality reporting of radiomics analysis in pituitary adenomas: promoting clinical translation |
British Journal of Radiology
|
| 2022-10 |
Three-dimensional fractal dimension and lacunarity features may noninvasively predict TERT Promoter mutation stuatus in grade 2 meningiomas |
PLoS ONE
|
| 2022-09 |
Sex as a prognostic factor in adult-type diffuse gliomas: an integrated clinical and molecular analysis according to the 2021 WHO classification |
JOURNAL OF NEURO-ONCOLOGY
|
| 2022-09 |
A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI |
YONSEI MEDICAL JOURNAL
|
| 2022-08 |
Clinical factors and conventional MRI may independently predict progression-free survival and overall survival in adult pilocytic astrocytomas |
Neuroradiology
|
| 2022-08 |
A fully automatic multiparametric radiomics model for differentiation of adult pilocytic astrocytomas from high-grade gliomas |
European Radiology
|
| 2022-08 |
An interpretable radiomics model to select patients for radiotherapy after surgery for WHO grade 2 meningiomas |
Radiation Oncology
|
| 2022-05 |
An interpretable radiomics model for the diagnosis of panic disorder with or without agoraphobia using magnetic resonance imaging |
Journal of Affective Disorders
|
| 2022-04 |
Cycle-consistent adversarial networks improves generalizability of radiomics model in grading meningiomas on external validation |
SCIENTIFIC REPORTS
|
| 2022-03 |
Body CT and PET/CT detection of extracranial lymphoma in patients with newly diagnosed central nervous system lymphoma |
NEURO-ONCOLOGY
|
| 2022-01 |
Clinical and diffusion parameters may noninvasively predict TERT promoter mutation status in grade II meningiomas |
JOURNAL OF NEURORADIOLOGY
|
| 2022-01 |
Dual-Energy Computed Tomography Quantification of Extravasated Iodine and Hemorrhagic Transformation after Thrombectomy |
Journal of Stroke
|
| 2022-01 |
Quality of Radiomics Research on Brain Metastasis: A Roadmap to Promote Clinical Translation |
Korean Journal of Radiology
|
| 2021-12 |
Radiomics and Deep Learning in Brain Metastases: Current Trends and Roadmap to Future Applications |
Investigative Magnetic Resonance Imaging
|
| 2021-12 |
Radiomics-based prediction of multiple gene alteration incorporating mutual genetic information in glioblastoma and grade 4 astrocytoma, IDH-mutant |
JOURNAL OF NEURO-ONCOLOGY
|
| 2021-11 |
A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm |
YONSEI MEDICAL JOURNAL
|
| 2021-11 |
Pre-and post-treatment imaging of primary central nervous system tumors in the molecular and genetic era |
KOREAN JOURNAL OF RADIOLOGY
|
| 2021-11 |
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
|
| 2021-11 |
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
|
| 2021-11 |
Efficacy and cerebrospinal fluid rhinorrhea after cabergoline treatment in patients with bioactive macroprolactinoma |
Cancers
|
| 2021-10 |
A diagnostic tree for differentiation of adult pilocytic astrocytomas from high-grade gliomas |
EUROPEAN JOURNAL OF RADIOLOGY
|
| 2021-09 |
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
|
| 2021-09 |
An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum |
TRANSLATIONAL PSYCHIATRY
|
| 2021-09 |
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
|
| 2021-08 |
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
|
| 2021-08 |
Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results |
PLOS ONE
|
| 2021-08 |
Identification of magnetic resonance imaging features for the prediction of molecular profiles of newly diagnosed glioblastoma |
JOURNAL OF NEURO-ONCOLOGY
|
| 2021-08 |
Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma |
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
|
| 2021-05 |
Development and Validation of a Deep Learning?Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images |
AMERICAN JOURNAL OF NEURORADIOLOGY
|
| 2021-05 |
Quality assessment of meningioma radiomics studies: bridging the gap between exploratory research and clinlical applications |
EUROPEAN JOURNAL OF RADIOLOGY
|
| 2021-03 |
MRI features may predict molecular features of glioblastoma in isocitrate dehydrogenase wild-type lower-grade gliomas |
AMERICAN JOURNAL OF NEURORADIOLOGY
|
| 2021-03 |
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
|
| 2021-03 |
Differentiation of recurrent diffuse glioma from treatment-induced change using amide proton transfer imaging: incremental value to diffusion and perfusion parameters |
NEURORADIOLOGY
|
| 2021-03 |
Machine Learning Based Radiomic HPV Phenotyping of Oropharyngeal SCC: A Feasibility Study Using MRI |
LARYNGOSCOPE
|
| 2021-02 |
Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation |
SCIENTIFIC REPORTS
|
| 2021-02 |
Cerebral Infarction Observed on Brain MRI in Unconscious Out-of-Hospital Cardiac Arrest Survivors: A Pilot Study |
NEUROCRITICAL CARE
|
| 2021-01 |
Biochemical Remission after Cabergoline Withdrawal in Hyperprolactinemic Patients with Visible Remnant Pituitary Adenoma |
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
|
| 2021-01 |
Predicting Amyloid Pathology in Mild Cognitive Impairment Using Radiomics Analysis of Magnetic Resonance Imaging |
JOURNAL OF ALZHEIMERS DISEASE
|
| 2021-01 |
Hyperattenuating lesions after mechanical thrombectomy in acute ischaemic stroke: factors predicting symptomatic haemorrhage and clinical outcomes |
CLINICAL RADIOLOGY
|
| 2020-12 |
Deep-learned time-signal intensity pattern analysis using an autoencoder captures magnetic resonance perfusion heterogeneity for brain tumor differentiation |
SCIENTIFIC REPORTS
|
| 2020-12 |
Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls |
SCIENTIFIC REPORTS
|
| 2020-12 |
Quality Reporting of Radiomics Analysis in Mild Cognitive Impairment and Alzheimer's Disease: A Roadmap for Moving Forward |
KOREAN JOURNAL OF RADIOLOGY
|
| 2020-12 |
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
|
| 2020-12 |
Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas |
EUROPEAN RADIOLOGY
|
| 2020-12 |
Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas |
EUROPEAN RADIOLOGY
|
| 2020-12 |
Radiomics model predicts granulation pattern in growth hormone-secreting pituitary adenomas |
PITUITARY
|
| 2020-11 |
A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance |
EUROPEAN RADIOLOGY
|
| 2020-10 |
Survival, prognostic factors, and volumetric analysis of extent of resection for anaplastic gliomas |
CANCER RESEARCH AND TREATMENT
|
| 2020-10 |
Squamous Cell Carcinoma and Lymphoma of the Oropharynx: Differentiation Using a Radiomics Approach |
YONSEI MEDICAL JOURNAL
|
| 2020-09 |
Differentiating patients with schizophrenia from healthy controls by hippocampal subfields using radiomics |
SCHIZOPHRENIA RESEARCH
|
| 2020-08 |
Magnetic resonance imaging-based 3-dimensional fractal dimension and lacunarity analyses may predict the meningioma grade |
EUROPEAN RADIOLOGY
|
| 2020-07 |
Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation |
SCIENTIFIC REPORTS
|
| 2020-07 |
Predicting survival using the 2016 World Health Organization classification for anaplastic glioma |
CLINICAL NEUROPATHOLOGY
|
| 2020-07 |
Machine Learning and Radiomic Phenotyping of Lower Grade Gliomas: Improving Survival Prediction |
EUROPEAN RADIOLOGY
|
| 2020-06 |
Factors for Enhancement of Intracranial Atherosclerosis in High Resolution Vessel Wall MRI in Ischemic Stroke Patients |
FRONTIERS IN NEUROLOGY
|
| 2020-06 |
MR image phenotypes may add prognostic value to clinical features in IDH wild-type lower-grade gliomas |
EUROPEAN RADIOLOGY
|
| 2020-04 |
Comparison of diagnostic performance of two-dimensional and three-dimensional fractal dimension and lacunarity analyses for predicting the meningioma grade |
Brain Tumor Reserach and Treatment
|
| 2020-03 |
Diffusion tensor imaging radiomics in lower-grade glioma: improving subtyping of isocitrate dehydrogenase mutation status |
NEURORADIOLOGY
|
| 2019-12 |
Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma |
EUROPEAN RADIOLOGY
|
| 2019-09 |
Radiomics MRI phenotyping with machine learning to predict the grade of lower-grade gliomas: a study focused on nonenhancing tumors |
KOREAN JOURNAL OF RADIOLOGY
|
| 2019-08 |
Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging |
EUROPEAN RADIOLOGY
|
| 2019-03 |
The added prognostic value of radiological phenotype combined with clinical features and molecular subtype in anaplastic gliomas |
JOURNAL OF NEURO-ONCOLOGY
|
| 2019-03 |
Differentiation between spinal cord diffuse midline glioma with histone H3 K27M mutation and wild type: comparative magnetic resonance imaging |
NEURORADIOLOGY
|
| 2018-12 |
Radiomic MRI phenotyping of glioblastoma: improving survival prediction |
RADIOLOGY
|
| 2018-09 |
Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach |
EUROPEAN RADIOLOGY
|
| 2018-06 |
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
|
| 2018-06 |
Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors |
SCIENTIFIC REPORTS
|
| 2018-04 |
Whole-Tumor Histogram and Texture Analyses of Diffusion Tensor Imaging for Evaluation of IDH1 Mutation and 1p/19q Codeletion Status in WHO grade II gliomas |
AMERICAN JOURNAL OF NEURORADIOLOGY
|
| 2018-04 |
Impact of white matter hyperintensities on the prognosis of cryptogenic stroke patients |
PLOS ONE
|
| 2018-04 |
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
|
| 2018-04 |
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
|
| 2018-03 |
Intra-Suprasellar Schwannoma Presumably Originating from the Internal Carotid Artery Wall Case Report and Review of the Literature |
CLINICAL NEURORADIOLOGY
|
| 2018-03 |
Hypofractionated Re-irradiation after Maximal Surgical Resection for Recurrent Glioblastoma: Therapeutic Adequacy and Its Prognosticators of Survival. |
YONSEI MEDICAL JOURNAL
|
| 2018-01 |
Prediction of IDH1-Mutation and 1p/19q-Codeletion Status Using Preoperative MR Imaging Phenotypes in Lower Grade Gliomas |
AMERICAN JOURNAL OF NEURORADIOLOGY
|