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1. Prognostic value of MRI volumetric parameters in non-small cell lung cancer patients after immune checkpoint inhibitor therapy: comparison with response assessment criteria [ CANCER IMAGING ] - 2023.10.24
2. Defining subventricular zone involvement to predict the survival of patients in isocitrate dehydrogenase-wild type glioblastoma: validation in a prospective registry [ EUROPEAN RADIOLOGY ] - 2023.09.01
3. Imaging-Based Versus Pathologic Survival Stratifications of Diffuse Glioma According to the 2021 WHO Classification System [ KOREAN JOURNAL OF RADIOLOGY ] - 2023.08.01
4. Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRI [ EUROPEAN RADIOLOGY ] - 2023.08.01
5. Vessel size and perfusion-derived vascular habitat refines prediction of treatment failure to bevacizumab in recurrent glioblastomas: validation in a prospective cohort [ EUROPEAN RADIOLOGY ] - 2023.06.01
6. Deep Learning of Time-Signal Intensity Curves from Dynamic Susceptibility Contrast Imaging Enables Tissue Labeling and Prediction of Survival in Glioblastoma [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2023.05.01
7. Tumor habitat analysis using longitudinal physiological MRI to predict tumor recurrence after stereotactic radiosurgery for brain metastasis [ KOREAN JOURNAL OF RADIOLOGY ] - 2023.03.01
8. Deep learning-based image reconstruction improves radiologic evaluation of pituitary axis and cavernous sinus invasion in pituitary adenoma [ EUROPEAN JOURNAL OF RADIOLOGY ] - 2023.01.01
9. Venous Sinus Thrombosis in the Hypoglossal Canal Mimics a Neurogenic Tumor in a Patient with Presumed Idiopathic Intracranial Hypertension: A Case Report [ KOREAN JOURNAL OF RADIOLOGY ] - 2022.05.27
10. Research Highlight: Use of Generative Images Created with Artificial Intelligence for Brain Tumor Imaging [ KOREAN JOURNAL OF RADIOLOGY ] - 2022.05.01
11. Contrast enhancing pattern on pre?treatment MRI predicts response to anti?angiogenic treatment in recurrent glioblastoma: comparison of bevacizumab and temozolomide treatment [ JOURNAL OF NEURO-ONCOLOGY ] - 2022.05.01
12. Hypovascular Cellular Tumor in Primary Central Nervous System Lymphoma is Associated with Treatment Resistance: Tumor HabitaHypovascular Cellular Tumor in Primary Central Nervous System Lymphoma is Associated with Treat Analysis Using Physiologic MRI [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2022.01.01
13. Tumor habitat analysis by magnetic resonance imaging distinguishes tumor progression from radiation necrosis in brain metastases after stereotactic radiosurgery [ EUROPEAN RADIOLOGY ] - 2022.01.01
14. Reproducible imaging-based prediction of molecular subtype and risk stratification of gliomas across different experience levels using a structured reporting system [ EUROPEAN RADIOLOGY ] - 2021.10.31
15. Deep learning-based thin-section MRI reconstruction improves tumour detection and delineation in pre- and post-treatment pituitary adenoma [ SCIENTIFIC REPORTS ] - 2021.10.29
16. Review of Statistical Methods for Evaluating the Performance of Survival or Other Time-to-Event Prediction Models (from Conventional to Deep Learning Approaches) [ KOREAN JOURNAL OF RADIOLOGY ] - 2021.10.22
17. Low conductivity on electrical properties tomography demonstrates unique tumor habitats indicating progression in glioblastoma [ EUROPEAN RADIOLOGY ] - 2021.09.01
18. Spatiotemporal habitats from multiparametric physiologic MRI distinguish tumor progression from treatment-related change in post-treatment glioblastoma [ EUROPEAN RADIOLOGY ] - 2021.08.31
19. Extrahippocampal Radiomics Analysis Can Potentially Identify Laterality in Patients With MRI-Negative Temporal Lobe Epilepsy [ FRONTIERS IN NEUROLOGY ] - 2021.08.04
20. Generative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant type [ SCIENTIFIC REPORTS ] - 2021.05.10
21. Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma [ EUROPEAN RADIOLOGY ] - 2021.05.01
22. Vessel Type Determined by Vessel Architectural Imaging Improves Differentiation between Early Tumor Progression and Pseudoprogression in Glioblastoma [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2021.04.01
23. Utility of 7 Tesla Magnetic Resonance Imaging in Patients With Epilepsy: A Systematic Review and Meta-Analysis [ FRONTIERS IN NEUROLOGY ] - 2021.03.19
24. Extensive peritumoral edema and brain-to-tumor interface MRI features enable prediction of brain invasion in meningioma: Development and validation [ NEURO-ONCOLOGY ] - 2021.02.25
25. Spatiotemporal Heterogeneity in Multiparametric Physiologic MRI Is Associated with Patient Outcomes in IDH-Wildtype Glioblastoma [ CLINICAL CANCER RESEARCH ] - 2021.01.01
26. Deep-learned time-signal intensity pattern analysis using an autoencoder captures magnetic resonance perfusion heterogeneity for brain tumor differentiation [ SCIENTIFIC REPORTS ] - 2020.12.08
27. Comparison of Dynamic Contrast-Enhancement Parameters between Gadobutrol and Gadoterate Meglumine in Posttreatment Glioma: A Prospective Intraindividual Study [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2020.11.01
28. Radiomics and Deep Learning from Research to Clinical Workflow: Neuro-Oncologic Imaging [ KOREAN JOURNAL OF RADIOLOGY ] - 2020.10.01
29. Identification of Early Response to Anti-Angiogenic Therapy in Recurrent Glioblastoma: Amide Proton Transfer-weighted and Perfusion-weighted MRI compared with Diffusion-weighted MRI [ RADIOLOGY ] - 2020.05.01
30. Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma [ EUROPEAN RADIOLOGY ] - 2020.04.02
31. Radiomics prognostication model in glioblastoma using diffusion- and perfusion-weighted MRI. [ SCIENTIFIC REPORTS ] - 2020.03.06
32. Advanced imaging parameters improve the prediction of diffuse lower-grade gliomas subtype, IDH mutant with no 1p19q codeletion: added value to the T2/FLAIR mismatch sign. [ EUROPEAN RADIOLOGY ] - 2020.02.01
33. Prediction of Core Signaling Pathway by Using Diffusion-and Perfusion-based MRI Radiomics and Next-generation Sequencing in Isocitrate Dehydrogenase Wild-type Glioblastoma [ RADIOLOGY ] - 2020.02.01
34. Repeatability of amide proton transfer-weighted signals in the brain according to clinical condition and anatomical location [ EUROPEAN RADIOLOGY ] - 2020.01.10
35. A systematic review reporting quality of radiomics research in neuro-oncology: toward clinical utility and quality improvement using high-dimensional imaging features. [ BMC CANCER ] - 2020.01.10
36. Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement [ EUROPEAN RADIOLOGY ] - 2020.01.01
37. Intra-individual correlations between quantitative THK-5351 PET and MRI-derived cortical volume in Alzheimer's disease differ according to disease severity and amyloid positivity [ PLoS One ] - 2019.12.12
38. Radiomics in peritumoral non-enhancing regions: fractional anisotropy and cerebral blood volume improve prediction of local progression and overall survival in patients with glioblastoma. [ NEURORADIOLOGY ] - 2019.11.01
39. Permeability measurement using dynamic susceptibility contrast magnetic resonance imaging enhances differential diagnosis of primary central nervous system lymphoma from glioblastoma [ EUROPEAN RADIOLOGY ] - 2019.10.01
40. Amide proton transfer-weighted MRI can detect tissue acidosis and monitor recovery in a transient middle cerebral artery occlusion model compared with a permanent occlusion model in rats [ EUROPEAN RADIOLOGY ] - 2019.08.01
41. Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives [ KOREAN JOURNAL OF RADIOLOGY ] - 2019.07.05
42. Amide proton transfer-weighted MRI in distinguishing high- and low-grade gliomas: a systematic review and meta-analysis [ NEURORADIOLOGY ] - 2019.05.01
43. Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma [ SCIENTIFIC REPORTS ] - 2019.04.05
44. Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients [ NEURO-ONCOLOGY ] - 2019.03.01
45. Amide proton transfer imaging seems to provide higher diagnostic performance in post-treatment high-grade gliomas than methionine positron emission tomography [ EUROPEAN RADIOLOGY ] - 2018.08.01
46. Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation [ NEURO-ONCOLOGY ] - 2018.08.01
47. Clinical Value of Vascular Permeability Estimates Using Dynamic Susceptibility Contrast MRI: Improved Diagnostic Performance in Distinguishing Hypervascular Primary CNS Lymphoma from Glioblastoma. [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2018.08.01
48. Radiomics as a Quantitative Imaging Biomarker: Practical Considerations and the Current Standpoint in Neuro-oncologic Studies. [ Nuclear Medicine and Molecular Imaging ] - 2018.04.01
49. Clinical Characteristics and Treatment Outcomes of Spinal Arteriovenous Malformations [ CLINICAL NEURORADIOLOGY ] - 2018.03.01
50. Joint approach based on clinical and imaging features to distinguish non-neoplastic from neoplastic pituitary stalk lesions. [ PLoS One ] - 2017.11.15
51. Selection and Reporting of Statistical Methods to Assess Reliability of a Diagnostic Test: Conformity to Recommended Methods in a Peer-Reviewed Journal [ KOREAN JOURNAL OF RADIOLOGY ] - 2017.11.01
52. Improved Diagnostic Accuracy of Alzheimer's Disease by Combining Regional Cortical Thickness and Default Mode Network Functional Connectivity: Validated in the Alzheimer's Disease Neuroimaging Initiative Set. [ KOREAN JOURNAL OF RADIOLOGY ] - 2017.11.01
53. Comparison of 3D magnetic resonance imaging and digital subtraction angiography for intracranial artery stenosis [ EUROPEAN RADIOLOGY ] - 2017.11.01
54. Up to 52 administrations of macrocyclic ionic MR contrast agent are not associated with intracranial gadolinium deposition: Multifactorial analysis in 385 patients [ PLOS ONE ] - 2017.08.31
55. Differences in dynamic and static functional connectivity between young and elderly healthy adults [ NEURORADIOLOGY ] - 2017.08.01
56. Perfusion of surgical cavity wall enhancement in early post-treatment MR imaging may stratify the time-to-progression in glioblastoma [ PLOS ONE ] - 2017.07.21
57. Prognostic relevance of gemistocytic grade II astrocytoma: gemistocytic component and MR imaging features compared to non-gemistocytic grade II astrocytoma [ EUROPEAN RADIOLOGY ] - 2017.07.01

1. 저산소증 영상을 이용한 개인별 뇌종양 치료 저항성 매핑 기술 개발 및 치료반응 예측 - 2023.12.01 ~ 2024.11.30
2. 뇌 MRI 영상을 이용하여 전이성 뇌종양을 검출하는 뇌영상검출·진단보조소프트웨어 BT-M01의 유효성 평가를 위한 단일기관, 후향적, 확증 임상시험 - 2022.05.12 ~ 2023.03.31
3. 시계열 영상 딥러닝을 이용한 활성 종양 부위 지도 작성 및 표적치료 가이딩 모듈 개발 - 2022.03.01 ~ 2023.02.28
4. 희귀뇌질환인 뇌 교종에서 뇌종양 CT, MRI를 이용한 영상 데이터베이스 구축 및 합성데이터의 임상적 유효성 및 활용성 검증 연구 - 2022.01.01 ~ 2022.12.31
5. 딥러닝을 이용한 전이성 뇌종양 검출 자동화 시스템 개발 연구 - 2021.07.07 ~ 2021.12.31
6. 희귀뇌질환인 뇌 교종에서 뇌종양 CT, MRI를 이용한 영상 데이터베이스 구축 및 합성데이터의 임상적 유효성 및 활용성 검증 연구 - 2021.04.01 ~ 2021.12.31
7. 시계열 영상 딥러닝을 이용한 활성 종양 부위 지도 작성 및 표적치료 가이딩 모듈 개발 - 2021.03.01 ~ 2022.02.28
8. 뇌 악성 종양 표적 치료 영상 반응 평가 및 전이성 뇌종양 임상 코호트 구축, 생리학적 분절화 검증 - 2021.01.01 ~ 2021.12.31
9. 시계열 영상 딥러닝을 이용한 활성 종양 부위 지도 작성 및 표적치료 가이딩 모듈 개발 - 2020.03.01 ~ 2021.02.28
10. 뇌 악성 종양 표적치료 추적관찰에 최적화된 자동 정량화 모듈 개발 및 평가 - 2020.01.01 ~ 2020.12.31
11. 다지표 영상을 이용한 개인별 국소 뇌 치료 안전구역 매핑 기술 개발 - 2019.03.01 ~ 2020.02.29
12. 다지표 영상을 이용한 개인별 국소 뇌 치료 안전구역 매핑 기술 개발 - 2018.03.01 ~ 2019.02.28

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