Browsing by Yonsei Author : Ahn, Sung Soo

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Name:
Ahn, Sung Soo [안성수]
orcid http://orcid.org/0000-0002-0503-5558
Department :
College of Medicine (의과대학) - Dept. of Radiology (영상의학교실)
Scopus ID :
Scopus (56911173500)

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Issue DateTitleJournal Title
2024Rethinking extent of resection of contrast-enhancing and non-enhaning tumor: different survival impacts on adult-type diffuse gliomas in 2021 World Health Organization classificationEUROPEAN RADIOLOGY
2023The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 3-Summary of Imaging Findings on Glioneuronal and Neuronal TumorsJOURNAL OF MAGNETIC RESONANCE IMAGING
2023Association of choroid plexus volume with motor symptoms and dopaminergic degeneration in Parkinson's diseaseJOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
2023Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reportsEUROPEAN RADIOLOGY
2023Association between choroid plexus volume and cognition in Parkinson diseaseEUROPEAN JOURNAL OF NEUROLOGY
2023Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learningEUROPEAN RADIOLOGY
2023Dynamic contrast-enhanced MRI radiomics model predicts epidermal growth factor receptor amplification in glioblastoma, IDH-wildtypeJOURNAL OF NEURO-ONCOLOGY
2023The 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 GliomasJOURNAL OF MAGNETIC RESONANCE IMAGING
2023The 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 GliomasJOURNAL OF MAGNETIC RESONANCE IMAGING
2023A Radiomics-Based Model for Potentially More Accurate Identification of Subtypes of Breast Cancer Brain Metastases YONSEI MEDICAL JOURNAL
2023An interpretable multiparametric radiomics model of basal ganglia to predict dementia conversion in Parkinson's disease NPJ PARKINSONS DISEASE
2023Fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasisJOURNAL OF NEURORADIOLOGY
2023Applications of chemical exchange saturation transfer magnetic resonance imaging in identifying genetic markers in gliomasNMR IN BIOMEDICINE
2023Revisiting prognostic factors in glioma with leptomeningeal metastases: a comprehensive analysis of clinical and molecular factors and treatment modalities JOURNAL OF NEURO-ONCOLOGY
2023Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader studyNEURO-ONCOLOGY
2023Association of dynamic susceptibility contrast- and dynamic contrast-enhanced magnetic resonance imaging parameters with molecular marker status in lower-grade gliomas: A retrospective studyNEURORADIOLOGY JOURNAL
2023Qualitative 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
2022Federated learning enables big data for rare cancer boundary detection NATURE COMMUNICATIONS
2022Adding 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 statusEUROPEAN RADIOLOGY
2022Development and Validation of MRI-Based Radiomics Models for Diagnosing Juvenile Myoclonic Epilepsy KOREAN JOURNAL OF RADIOLOGY
2022Quality reporting of radiomics analysis in pituitary adenomas: promoting clinical translationBRITISH JOURNAL OF RADIOLOGY
2022Three-dimensional fractal dimension and lacunarity features may noninvasively predict TERT promoter mutation status in grade 2 meningiomas PLOS ONE
2022A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI YONSEI MEDICAL JOURNAL
2022Sex as a prognostic factor in adult-type diffuse gliomas: an intergrated clinical and molecular analysis according to the 2021 WHO classificationJOURNAL OF NEURO-ONCOLOGY
2022Review and consensus recommendations on clinical APT-weighted imaging approaches at 3T: Application to brain tumors MAGNETIC RESONANCE IN MEDICINE
2022An interpretable radiomics model to select patients for radiotherapy after surgery for WHO grade 2 meningiomas RADIATION ONCOLOGY
2022Clinical factors and conventional MRI may independently predict progression-free survival and overall survival in adult pilocytic astrocytomasNEURORADIOLOGY
2022A fully automatic multiparametric radiomics model for differentiation of adult pilocytic astrocytomas from high-grade gliomasEUROPEAN RADIOLOGY
2022An interpretable radiomics model for the diagnosis of panic disorder with or without agoraphobia using magnetic resonance imagingJOURNAL OF AFFECTIVE DISORDERS
2022Cycle-consistent adversarial networks improves generalizability of radiomics model in grading meningiomas on external validation SCIENTIFIC REPORTS
2022Body CT and PET/CT detection of extracranial lymphoma in patients with newly diagnosed central nervous system lymphoma NEURO-ONCOLOGY
2022Clinical and diffusion parameters may noninvasively predict TERT promoter mutation status in grade II meningiomasJOURNAL OF NEURORADIOLOGY
2022Dual-Energy Computed Tomography Quantification of Extravasated Iodine and Hemorrhagic Transformation after Thrombectomy JOURNAL OF STROKE
2022Quality of Radiomics Research on Brain Metastasis: A Roadmap to Promote Clinical Translation KOREAN JOURNAL OF RADIOLOGY
2021Radiomics and Deep Learning in Brain Metastases: Current Trends and Roadmap to Future Applications Investigative Magnetic Resonance Imaging
2021Radiomics-based prediction of multiple gene alteration incorporating mutual genetic information in glioblastoma and grade 4 astrocytoma, IDH-mutant JOURNAL OF NEURO-ONCOLOGY
2021A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm YONSEI MEDICAL JOURNAL
2021Pre- and Post-Treatment Imaging of Primary Central Nervous System Tumors in the Molecular and Genetic Era KOREAN JOURNAL OF RADIOLOGY
2021Magnetic 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
2021Dynamic 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 imagingNEURORADIOLOGY
2021Efficacy and Cerebrospinal Fluid Rhinorrhea after Cabergoline Treatment in Patients with Bioactive Macroprolactinoma CANCERS
2021A diagnostic tree for differentiation of adult pilocytic astrocytomas from high-grade gliomasEUROPEAN JOURNAL OF RADIOLOGY
2021Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imagingEUROPEAN RADIOLOGY
2021An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum TRANSLATIONAL PSYCHIATRY
2021Preoperative 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 TechniquesAMERICAN JOURNAL OF NEURORADIOLOGY
2021Magnetic Resonance Imaging Parameters for Noninvasive Prediction of Epidermal Growth Factor Receptor Amplification in Isocitrate Dehydrogenase-Wild-Type Lower-Grade Gliomas: A Multicenter StudyNEUROSURGERY
2021Identification of magnetic resonance imaging features for the prediction of molecular profiles of newly diagnosed glioblastomaJOURNAL OF NEURO-ONCOLOGY
2021Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results PLOS ONE
2021Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With ProlactinomaJOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
2021Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR ImagesAMERICAN JOURNAL OF NEURORADIOLOGY

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