| 2024 | Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessment
| FRONTIERS IN ONCOLOGY |
| 2023 | Magnetic Resonance Elastography for Clinicians and Researchers Unfamiliar With the Field
| Investigative Magnetic Resonance Imaging |
| 2023 | Clinicopathological Characteristics of NRG1 Fusion-Positive Solid Tumors in Korean Patients
| CANCER RESEARCH AND TREATMENT |
| 2023 | Clinicoradiologic Characteristics of Intradural Extramedullary Conventional Spinal Ependymoma
| Journal of the Korean Society of Radiology(대한영상의학회지) |
| 2023 | A Radiomics-Based Model for Potentially More Accurate Identification of Subtypes of Breast Cancer Brain Metastases
| YONSEI MEDICAL JOURNAL |
| 2023 | Fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasis | JOURNAL OF NEURORADIOLOGY |
| 2023 | Viscoelastic Property of the Brain Assessed With Magnetic Resonance Elastography and Its Association With Glymphatic System in Neurologically Normal Individuals
| KOREAN JOURNAL OF RADIOLOGY |
| 2023 | Assessment of Meningeal Lymphatics in the Parasagittal Dural Space: A Prospective Feasibility Study Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging
| KOREAN JOURNAL OF RADIOLOGY |
| 2023 | Multimodal Imaging Findings of Cerebral Amyloid Angiopathy Related Inflammation With Unusual Clinical Manifestation: A Case Report
| Investigative Magnetic Resonance Imaging |
| 2023 | Associated Factors of Spontaneous Hemorrhage in Brain Metastases in Patients with Lung Adenocarcinoma
| CANCERS |
| 2022 | Dynamic Contrast-Enhanced MRI and Its Applications in Various Central Nervous System Diseases
| Investigative Magnetic Resonance Imaging |
| 2022 | Salvage multiple burr hole surgery in patients with Moyamoya disease: efficacy evaluation using probabilistic independent component analysis of dynamic susceptibility contrast perfusion MRI | NEURORADIOLOGY |
| 2022 | Delirium-related factors and their prognostic value in patients undergoing craniotomy for brain metastasis
| FRONTIERS IN NEUROLOGY |
| 2022 | Hippocampal Metastasis Rate Based on Non-Small Lung Cancer TNM Stage and Molecular Markers
| FRONTIERS IN ONCOLOGY |
| 2022 | Follow-up imaging of clipped intracranial aneurysms with 3-T MRI: comparison between 3D time-of-flight MR angiography and pointwise encoding time reduction with radial acquisition subtraction-based MR angiography | JOURNAL OF NEUROSURGERY |
| 2022 | The Extent of Necrosis in Brain Metastases May Predict Subtypes of Primary Cancer and Overall Survival in Patients Receiving Craniotomy
| CANCERS |
| 2022 | Aggravation of Enlarged Perivascular Spaces in the Centrum Semiovale of Patients with Aneurysmal Subarachnoid Hemorrhage | CLINICAL NEURORADIOLOGY |
| 2021 | A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm
| YONSEI MEDICAL JOURNAL |
| 2021 | Deep Learning-Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2020 | A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance | EUROPEAN RADIOLOGY |
| 2019 | Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma | EUROPEAN RADIOLOGY |
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