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| 교수진 명단



  • 김호성 교수

    영상의학

    패스워드가 일치하지 않습니다.

    전공분야

    신경두경부영상의학

    소속연구단

    관련/관심분야

        데이터가 없습니다.

    주요논문

    1. Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRI [ EUROPEAN RADIOLOGY ] - 2023.08.01
    2. 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
    3. Diffuse glioma, not otherwise specified: imaging-based risk stratification achieves histomolecular-level prognostication [ EUROPEAN RADIOLOGY ] - 2022.11.01
    4. Body CT and PET/CT detection of extracranial lymphoma in patients with newly diagnosed central nervous system lymphoma [ NEURO-ONCOLOGY ] - 2022.03.12
    5. Thin-Slice Pituitary MRI with Deep Learning?Based Reconstruction for Preoperative Prediction of Cavernous Sinus Invasion by Pituitary Adenoma: A Prospective Study [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2022.02.01
    6. Low conductivity on electrical properties tomography demonstrates unique tumor habitats indicating progression in glioblastoma [ EUROPEAN RADIOLOGY ] - 2021.09.01
    7. Refinement of response assessment in neuro-oncology (RANO) using non-enhancing lesion type and contrast enhancement evolution pattern in IDH wild-type glioblastomas [ BMC CANCER ] - 2021.06.01
    8. Generative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant type [ SCIENTIFIC REPORTS ] - 2021.05.10
    9. 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
    10. Spatiotemporal Heterogeneity in Multiparametric Physiologic MRI Is Associated with Patient Outcomes in IDH-Wildtype Glioblastoma [ CLINICAL CANCER RESEARCH ] - 2021.01.01
    11. Thin-Slice Pituitary MRI with Deep Learning-based Reconstruction: Diagnostic Performance in a Postoperative Setting [ RADIOLOGY ] - 2021.01.01
    12. Deep-learned time-signal intensity pattern analysis using an autoencoder captures magnetic resonance perfusion heterogeneity for brain tumor differentiation [ SCIENTIFIC REPORTS ] - 2020.12.08
    13. 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
    14. Radiomics and Deep Learning from Research to Clinical Workflow: Neuro-Oncologic Imaging [ KOREAN JOURNAL OF RADIOLOGY ] - 2020.10.01
    15. Cerebellar Hemangioblastoma: Diagnostic Yield of Contrast- Enhanced Abdominal CT and Whole-Spine MRI as Initial Screening Imaging [ AMERICAN JOURNAL OF ROENTGENOLOGY ] - 2020.09.01
    16. Radiological Recurrence Patterns after Bevacizumab Treatment of Recurrent High-Grade Glioma: A Systematic Review and Meta-Analysis [ KOREAN JOURNAL OF RADIOLOGY ] - 2020.07.01
    17. 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
    18. Optimized Image-Based Surrogate Endpoints in Targeted Therapies for Glioblastoma: A Systematic Review and Meta-Analysis of Phase III Randomized Controlled Trials [ KOREAN JOURNAL OF RADIOLOGY ] - 2020.04.01
    19. Radiomics prognostication model in glioblastoma using diffusion- and perfusion-weighted MRI. [ SCIENTIFIC REPORTS ] - 2020.03.06
    20. 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
    21. 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
    22. 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
    23. 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
    24. Primary Central Nervous System Lymphoma: Diagnostic Yield of Whole-Body CT and FDG PET/CT for Initial Systemic Imaging. [ RADIOLOGY ] - 2019.08.01
    25. MRI as a diagnostic biomarker for differentiating primary central nervous system lymphoma from glioblastoma: A systematic review and meta?analysis [ JOURNAL OF MAGNETIC RESONANCE IMAGING ] - 2019.08.01
    26. False-Positive Measurement at 2-Hydroxyglutarate MR Spectroscopy in Isocitrate Dehydrogenase Wild-Type Glioblastoma: A Multifactorial Analysis [ RADIOLOGY ] - 2019.06.01
    27. Imaging prediction of isocitrate dehydrogenase (IDH) mutation in patients with glioma: a systemic review and meta-analysis [ EUROPEAN RADIOLOGY ] - 2019.02.01
    28. Comparison of MRI and PET as Potential Surrogate Endpoints for Treatment Response After Stereotactic Radiosurgery in Patients With Brain Metastasis [ AMERICAN JOURNAL OF ROENTGENOLOGY ] - 2018.12.01
    29. 2-Hydroxyglutarate MR spectroscopy for prediction of isocitrate dehydrogenase mutant glioma: a systemic review and meta-analysis using individual patient data [ NEURO-ONCOLOGY ] - 2018.11.01
    30. MRI Findings in Tumefactive Demyelinating Lesions: A Systematic Review and Meta-Analysis [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2018.09.01
    31. Joint approach of diffusion-and perfusion-weighted MRI in intra-axial mass like lesions in clinical practice simulation [ PLOS ONE ] - 2018.09.01
    32. Perfusion MRI as a diagnostic biomarker for differentiating glioma from brain metastasis: a systematic review and meta-analysis [ EUROPEAN RADIOLOGY ] - 2018.09.01
    33. 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
    34. Clinically Relevant Imaging Features for MGMT Promoter Methylation in Multiple Glioblastoma Studies: A Systematic Review and Meta-Analysis [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2018.08.01
    35. Diffusion-Weighted Imaging and Diffusion Tensor Imaging for Differentiating High-Grade Glioma from Solitary Brain Metastasis: A Systematic Review and Meta-Analysis [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2018.07.01
    36. Multiparametric MRI as a potential surrogate endpoint for decision-making in early treatment response following concurrent chemoradiotherapy in patients with newly diagnosed glioblastoma: a systematic review and meta-analysis [ EUROPEAN RADIOLOGY ] - 2018.06.01
    37. Radiomics as a Quantitative Imaging Biomarker: Practical Considerations and the Current Standpoint in Neuro-oncologic Studies. [ Nuclear Medicine and Molecular Imaging ] - 2018.04.01
    38. Differentiation of Recurrent Glioblastoma from Delayed Radiation Necrosis by Using Voxel-based Multiparametric Analysis of MR Imaging Data [ RADIOLOGY ] - 2017.10.01
    39. 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
    40. Clinical impact of preoperative brain MR angiography and MR imaging in candidates for liver transplantation: a propensity score-matching study in a single institution [ EUROPEAN RADIOLOGY ] - 2017.08.01
    41. 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
    42. 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
    43. Recurrent Glioblastoma: Combination of High Cerebral Blood Flow with MGMT Promoter Methylation Is Associated with Benefit from Low-Dose Temozolomide Rechallenge at First Recurrence. [ RADIOLOGY ] - 2017.01.01
    44. Different diagnostic values of imaging parameters to predict pseudoprogression in glioblastoma subgroups stratified by MGMT promoter methylation. [ EUROPEAN RADIOLOGY ] - 2017.01.01
    45. Added value of amide proton transfer imaging to conventional and perfusion MR imaging for evaluating the treatment response of newly diagnosed glioblastoma. [ EUROPEAN RADIOLOGY ] - 2016.12.01
    46. Emerging Techniques in Brain Tumor Imaging: What Radiologists Need to Know. [ KOREAN JOURNAL OF RADIOLOGY ] - 2016.09.01
    47. Apparent diffusion coefficient parametric response mapping MRI for follow-up of glioblastoma. [ EUROPEAN RADIOLOGY ] - 2016.04.01
    48. Alteration of long-distance functional connectivity and network topology in patients with supratentorial gliomas. [ NEURORADIOLOGY ] - 2016.03.01
    49. Pre- and Posttreatment Glioma: Comparison of Amide Proton Transfer Imaging with MR Spectroscopy for Biomarkers of Tumor Proliferation. [ RADIOLOGY ] - 2016.02.01
    50. Tumor Vascular Permeability Pattern Is Associated With Complete Response in Immunocompetent Patients With Newly Diagnosed Primary Central Nervous System Lymphoma: Retrospective Cohort Study. [ MEDICINE ] - 2016.02.01
    51. Pre-Operative Perfusion Skewness and Kurtosis Are Potential Predictors of Progression-Free Survival after Partial Resection of Newly Diagnosed Glioblastoma. [ KOREAN JOURNAL OF RADIOLOGY ] - 2016.01.01
    52. Histogram Analysis of Amide Proton Transfer Imaging to Identify Contrast-enhancing Low-Grade Brain Tumor That Mimics High-Grade Tumor: Increased Accuracy of MR Perfusion. [ RADIOLOGY ] - 2015.10.01
    53. Uninterpretable Dynamic Susceptibility Contrast-Enhanced Perfusion MR Images in Patients with Post-Treatment Glioblastomas: Cross-Validation of Alternative Imaging Options. [ PLoS One ] - 2015.08.21
    54. Comparison of Apparent Diffusion Coefficient and Intravoxel Incoherent Motion for Differentiating among Glioblastoma, Metastasis, and Lymphoma Focusing on Diffusion-Related Parameter. [ PLoS One ] - 2015.07.30
    55. Pseudoprogression in Patients with Glioblastoma: Assessment by Using Volume-weighted Voxel-based Multiparametric Clustering of MR Imaging Data in an Independent Test Set [ RADIOLOGY ] - 2015.06.01
    56. Which is the best advanced MR imaging protocol for predicting recurrent metastatic brain tumor following gamma-knife radiosurgery: focused on perfusion method [ NEURORADIOLOGY ] - 2015.04.01
    57. Which Combination of MR Imaging Modalities Is Best for Predicting Recurrent Glioblastoma? Study of Diagnostic Accuracy and Reproducibility. [ RADIOLOGY ] - 2014.12.01
    58. Utility of Intravoxel Incoherent Motion MR Imaging for Distinguishing Recurrent Metastatic Tumor from Treatment Effect following Gamma Knife Radiosurgery: Initial Experience [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2014.11.01
    59. Atypical imaging features of primary central nervous system lymphoma that mimics glioblastoma: utility of intravoxel incoherent motion MR imaging. [ RADIOLOGY ] - 2014.08.01
    60. Histogram Analysis of Intravoxel Incoherent Motion for Differentiating Recurrent Tumor from Treatment Effect in Patients with Glioblastoma: Initial Clinical Experience [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2014.03.01
    61. Prediction of Pseudoprogression in Patients with Glioblastomas Using the Initial and Final Area Under the Curves Ratio Derived from Dynamic Contrast-Enhanced T1-Weighted Perfusion MR Imaging [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2013.12.01
    62. Recurrent glioblastoma:Optimum Area under the Curve Method Derived from Dynamic Contrast-enhanced T1-weighted Perfusion MR Imaging [ RADIOLOGY ] - 2013.11.01
    63. Atypical Imaging Features of Epstein-Barr Virus–Positive Primary Central Nervous System Lymphomas in Patients without AIDS [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2013.08.01
    64. Pseudoprogression in patients with glioblastoma: added value of arterial spin labeling to dynamic susceptibility contrast perfusion MR imaging [ ACTA RADIOLOGICA ] - 2013.04.26
    65. Percent Change of Perfusion Skewness and Kurtosis: A Potential Imaging Biomarker for Early Treatment Response in Patients with Newly Diagnosed Glioblastomas. [ RADIOLOGY ] - 2012.09.01
    66. Differentiation among Glioblastoma Multiforme, Solitary Metastatic Tumor, and Lymphoma Using Whole-Tumor Histogram Analysis of the Normalized Cerebral Blood Volume in Enhancing and Perienhancing Lesions. [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2010.10.01
    67. Posttreatment high-grade glioma: usefulness of peak height position with semiquantitative MR perfusion histogram analysis in an entire contrast-enhanced lesion for predicting volume fraction of recurrence. [ RADIOLOGY ] - 2010.09.01
    68. Combination of high-resolution susceptibility-weighted imaging and the apparent diffusion coefficient: added value to brain tumor imaging and clinical feasibility of non-contrast MRI at 3T. [ BRITISH JOURNAL OF RADIOLOGY ] - 2010.06.01
    69. Added value and diagnostic performance of intratumoral susceptibility signals in the differential diagnosis of solitary enhancing brain lesions: preliminary study. [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2009.09.01
    70. Semiquantitative assessment of intratumoral susceptibility signals using non-contrast-enhanced high-field high-resolution susceptibility-weighted imaging in patients with gliomas: comparison with MR perfusion imaging [ AMERICAN JOURNAL OF NEURORADIOLOGY ] - 2009.08.01

    연구과제 수주실적

    1. 생성 모델로 강화된 종양 소분절화 (해비탓) 분석 및 악성 뇌종양 치료 반응 예측 모델 개발 - 2024.03.01 ~ 2025.02.28
    2. 생성 모델로 강화된 종양 소분절화 (해비탓) 분석 및 악성 뇌종양 치료 반응 예측 모델 개발 - 2023.03.01 ~ 2024.02.29
    3. 악성 뇌종양의 조기 악화 예측을 위한 생산적 적대 신경망 기반의 훈련 데이터셋 확보와 딥러닝 알고리즘의 고도화 - 2022.03.01 ~ 2023.02.28
    4. 악성 뇌종양의 조기 악화 예측을 위한 생산적 적대 신경망 기반의 훈련 데이터셋 확보와 딥러닝 알고리즘의 고도화 - 2021.03.01 ~ 2022.02.28
    5. 대사증후군 연관 난치성 간질환의 빅데이터 기반 영상 인포매틱스를 활용한 심층학습 시스템 개발(3) - 2021.01.01 ~ 2021.03.31
    6. 인공지능 영상 복원 기술을 이용한 MRI 촬영 가속화 연구: 임상검증 - 2020.10.08 ~ 2021.06.30
    7. 악성 뇌종양의 조기 악화 예측을 위한 생산적 적대 신경망 기반의 훈련 데이터셋 확보와 딥러닝 알고리즘의 고도화 - 2020.03.01 ~ 2021.02.28
    8. 대사증후군 연관 난치성 간질환의 빅데이터 기반 영상 인포매틱스를 활용한 심층학습 시스템 개발(3) - 2020.01.01 ~ 2020.12.31
    9. 중추신경계 (CNS) 자기공명영상 (MRI)에 대한 gadopiclenol의 유효성 및 안전성 제3상 임상시험 PICTURE 임상시험 - 2019.06.10 ~ 2020.10.01
    10. 동적 영상 딥 러닝을 통한 뇌종양 키 신호전달 체계 발견 및 정밀 표적 치료 코호트 구축 - 2019.05.02 ~ 2020.09.30
    11. 인공지능 기반의 뇌종양 분할 영역 성능 분석 알고리즘 예비성능평가 - 2019.04.30 ~ 2019.10.31
    12. 뇌영상 인포메틱스를 이용한 정밀 종양 표적치료 유도 영상모듈 개발 - 2019.03.01 ~ 2020.02.29
    13. 대사증후군 연관 난치성 간질환의 빅데이터 기반 영상 인포매틱스를 활용한 심층학습 시스템 개발(3) - 2019.01.01 ~ 2019.12.31
    14. 뇌종양 유전체 변이 이질성 예측을 위한 영상-유전체 융합 빅데이터 플랫폼 개발(3) - 2019.01.01 ~ 2019.12.31
    15. 재발성 교모세포종 환자에서 이차치료를 위한 Vessel Architecture Imaging (Gadoteridol-enhanced Dual Echo Perfusion MRI)의 - 2018.04.20 ~ 2020.02.29
    16. 뇌영상 인포메틱스를 이용한 정밀 종양 표적치료 유도 영상모듈 개발 - 2018.03.01 ~ 2019.02.28
    17. 대사증후군 연관 난치성 간질환의 빅데이터 기반 영상 인포매틱스를 활용한 심층학습 시스템 개발(3) - 2018.02.01 ~ 2018.12.31
    18. "JW-ADC-GBM201"임상연구에서 발생하는 모든 의학적 영상(MRI,CT등)에 대한 판독과 종양평가 - 2018.01.26 ~ 2020.12.31
    19. 뇌종양 유전체 변이 이질성 예측을 위한 영상-유전체 융합 빅데이터 플랫폼 개발 - 2018.01.01 ~ 2018.12.31
    20. DR Acquisition Workstation Software 및 변경 검출 알고리즘 자문 - 2017.07.01 ~ 2017.12.31
    21. 대사증후군 연관 난치성 간질환의 빅데이터 기반 영상 인포매틱스를 활용한 심층학습 시스템 개발(2) - 2017.04.01 ~ 2018.01.31
    22. 뇌종양 유전체 변이 이질성 예측을 위한 영상-유전체 융합 빅데이터 플랫폼 개발 - 2017.04.01 ~ 2017.12.31
    23. 뇌영상 인포메틱스를 이용한 정밀 종양 표적치료 유도 영상모듈 개발 - 2017.03.01 ~ 2018.02.28
    24. 차세대 뇌 영상 인포매틱스를 이용한 종양 치료 반응 예측 모듈 검증 - 2017.01.01 ~ 2017.12.31
    25. 대사증후군 연관 난치성 간질환의 빅데이터 기반 영상 인포매틱스를 활용한 심층학습 시스템 개발(1) - 2016.07.01 ~ 2017.03.31
    26. 차세대 종양 영상 바이오마커를 이용한 인공지능 진단시스템의 개발(3) - 2016.05.01 ~ 2017.04.30
    27. 쥐 경색 모델에서 아민, 아미드 수소 포화 이동 영상을 통한 새로운 뇌경색 영상 바이오 마커의 개발 - 2016.01.01 ~ 2016.12.31
    28. 차세대 종양 영상 바이오마커를 이용한 인공지능 진단시스템의 개발(2) - 2015.05.01 ~ 2016.04.30
    29. 차세대 종양 영상 바이오마커를 이용한 인공지능 진단시스템의 개발(1) - 2014.05.01 ~ 2015.04.30
    30. 뇌종양 환자의 치료 후 재발 예측을 위한 model-free T1 자기공명 관류영상에서의 이상적인 IAUC(Initial area under the time signal-intensity curve, nonmodel-based parameter of dynamic contrast-enhanced perfusion MR imaging)에 대한 연구: one-molar and half-mola - 2014.04.03 ~ 2016.03.31
    31. 감마나이프 치료후 뇌전이암의 치료반응평가를 위한 조영증강 고해상도 자화감수성 강조 자기공명영상의 유용성 - 2013.06.17 ~ 2014.12.31
    32. 악성 뇌종양의 치료반응 예측을 위한 다기관 임상시험용 표준화된 영상지표의 임상연구 - 2013.06.03 ~ 2014.09.30
    33. 악성 뇌종양의 치료반응 예측을 위한 다기관 임상시험용 표준화된 영상지표의 임상연구 - 2013.06.03 ~ 2014.09.30

    특허/기술이전실적

    1. 근감소증(Sarcopenia) 정량적 분석 프로그램 - 2020.01.30
    2. 다중 뇌졸중 영상의 동기화 및 부피 측정 프로그램 - 2020.01.30
    3. 의료영상 내 정보처리방법 - 2019.05.17
    4. CT 영상에서의 Liver&Spleen ROI 자동 측정 (씨티 영상에서의 리버 앤 스플린 알오아이 자동 측정) - 2018.01.10

    국내외 경력

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