박예원
#신경영상의학
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학력
연세대학교 의과대학 학사 (2011)
연세대학교 의과대학 통합석박사 (2019)
연세대학교 의과대학 통합석박사 (2019)
경력
2011.3 - 2012.2 세브란스병원 인턴
2012.3 - 2016.2 세브란스병원 영상의학과 전공의
2016.3 - 2017.2 연세의대 영상의학교실 강사
2017.3 - 2018.2 이대목동병원 영상의학과 전임의
2018.3 - 2020.2 이대목동병원 영상의학과 임상조교수
2020.3 - 현재 세브란스병원 영상의학과 임상조교수
2012.3 - 2016.2 세브란스병원 영상의학과 전공의
2016.3 - 2017.2 연세의대 영상의학교실 강사
2017.3 - 2018.2 이대목동병원 영상의학과 전임의
2018.3 - 2020.2 이대목동병원 영상의학과 임상조교수
2020.3 - 현재 세브란스병원 영상의학과 임상조교수
논문
Park, Y.W. et al Magnetic Resonance Imaging-based 3-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade. European Radiology (2020)
Park, Chae Jung, et al. "MR image phenotypes may add prognostic value to clinical features in IDH wild-type lower-grade gliomas." European Radiology (2020): 1-11.
Park, Y.W. et al (2019). Structural and Resting-state Brain Alterations in Trauma-Exposed Firefighters: Preliminary Results. [Accepted in Journal of the Korean Society of Radiology]
Park, C.J., Choi, Y. S., Park, Y. W., Ahn, S. S., Kang, S.G., Chang, J. H., Kim, S. H., Lee, S. K. (2019). Diffusion tensor imaging Radiomics for IDH Mutation Status and Survival Prediction in Lower Grade Glioma: Improving Accuracy Beyond ADC Histogram Analysis. Neuroradiology, 1-8
Park, Y. W., Choi, Y. S., Ahn, S. S., Chang, J. H., Kim, S. H., & Lee, S. K. (2019). Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors. Korean J Radiol, 20(9), 1381.
Park, Y. W., Shin, N. Y., Chung, S. J., Kim, J., Lim, S. M., Lee, P. H., ... & Ahn, K. J. (2019). Magnetic Resonance Imaging?Visible Perivascular Spaces in Basal Ganglia Predict Cognitive Decline in Parkinson's Disease. Movement Disorders.
Park, Y. W., Oh, J., You, S. C., Han, K., Ahn, S. S., Choi, Y. S., ... & Lee, S. K. (2019). Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging. European radiology, 29(8), 4068-4076.
Jun, Y., Eo, T., Kim, T., Shin, H., Hwang, D., Bae, S.H., Park, Y. W., ... & Ahn, S. S. (2018). Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors. Scientific reports, 8(1), 9450.
Park, Y. W., Han, K., Ahn, S. S., Choi, Y. S., Chang, J. H., Kim, S. H., ... & Lee, S. K. (2018). 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, 39(4), 693-698.
Park, Y. W., Han, K., Ahn, S. S., Bae, S., Choi, Y. S., Chang, J. H., ... & Lee, S. K. (2018). Prediction of IDH1-Mutation and 1p/19q-Codeletion Status Using Preoperative MR Imaging Phenotypes in Lower Grade Gliomas. American Journal of Neuroradiology, 39(1), 37-42. [Nominee for the 2017 Lucien Levy Best Research Article Award]
Park, Y. W., Ahn, S.J. (2018) Comparison of contrast-enhanced T2 FLAIR and 3D T1 black-blood fast spin-echo for detection of leptomeningeal metastases, Investigative Magnetic Resonance Imaging, 22(2):86-93
Park, Y. W., Kim, H.Y., Lee, H.J., Kim, S.H., Kim, S., Ahn, S.S., ... & Lee, S.K. (2018) 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, 22(2):102-109
Bae, S., Lee, H. J., Han, K., Park, Y. W., Choi, Y. S., Ahn, S. S., ... & Lee, S. K. (2017). Gadolinium deposition in the brain: association with various GBCAs using a generalized additive model. European radiology, 1-9.
Park, Y., Kim, M. D., Jung, D. C., Lee, S. J., Kim, G., Park, S. I., ... & Lee, D. Y. (2015). Can measurement of apparent diffusion coefficient before treatment predict the response to uterine artery embolization for adenomyosis?. European radiology, 25(5), 1303-1309.
Park, Y. W., Kim, M. J., Han, S. W., Kim, D. W., & Lee, M. J. (2015). Meaning of ureter dilatation during ultrasonography in infants for evaluating vesicoureteral reflux. European Journal of radiology, 84(2), 307-311.
Meaning of ureter dilatation during ultrasonography in infants for evaluating vesicoureteral reflux
EUROPEAN JOURNAL OF RADIOLOGY 84/2 :307-311,2015
Can measurement of apparent diffusion coefficient before treatment predict the response to uterine artery embolization for adenomyosis?
EUROPEAN RADIOLOGY 25/5 :1303-1309,2015
Gadolinium deposition in the brain: association with various GBCAs using a generalized additive model
EUROPEAN RADIOLOGY 27/8 :3,353-3,361,2017
Prediction of IDH1-Mutation and 1p/19q-Codeletion Status Using Preoperative MR Imaging Phenotypes in Lower Grade Gliomas
AMERICAN JOURNAL OF NEURORADIOLOGY 39/1 :37-42,2018
Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging
EUROPEAN RADIOLOGY 29/8 :4,068-4,076,2019
Radiomics MRI phenotyping with machine learning to predict the grade of lower-grade gliomas: a study focused on nonenhancing tumors
KOREAN JOURNAL OF RADIOLOGY 20/9 :1,381-1,389,2019
Park, Chae Jung, et al. "MR image phenotypes may add prognostic value to clinical features in IDH wild-type lower-grade gliomas." European Radiology (2020): 1-11.
Park, Y.W. et al (2019). Structural and Resting-state Brain Alterations in Trauma-Exposed Firefighters: Preliminary Results. [Accepted in Journal of the Korean Society of Radiology]
Park, C.J., Choi, Y. S., Park, Y. W., Ahn, S. S., Kang, S.G., Chang, J. H., Kim, S. H., Lee, S. K. (2019). Diffusion tensor imaging Radiomics for IDH Mutation Status and Survival Prediction in Lower Grade Glioma: Improving Accuracy Beyond ADC Histogram Analysis. Neuroradiology, 1-8
Park, Y. W., Choi, Y. S., Ahn, S. S., Chang, J. H., Kim, S. H., & Lee, S. K. (2019). Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors. Korean J Radiol, 20(9), 1381.
Park, Y. W., Shin, N. Y., Chung, S. J., Kim, J., Lim, S. M., Lee, P. H., ... & Ahn, K. J. (2019). Magnetic Resonance Imaging?Visible Perivascular Spaces in Basal Ganglia Predict Cognitive Decline in Parkinson's Disease. Movement Disorders.
Park, Y. W., Oh, J., You, S. C., Han, K., Ahn, S. S., Choi, Y. S., ... & Lee, S. K. (2019). Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging. European radiology, 29(8), 4068-4076.
Jun, Y., Eo, T., Kim, T., Shin, H., Hwang, D., Bae, S.H., Park, Y. W., ... & Ahn, S. S. (2018). Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors. Scientific reports, 8(1), 9450.
Park, Y. W., Han, K., Ahn, S. S., Choi, Y. S., Chang, J. H., Kim, S. H., ... & Lee, S. K. (2018). 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, 39(4), 693-698.
Park, Y. W., Han, K., Ahn, S. S., Bae, S., Choi, Y. S., Chang, J. H., ... & Lee, S. K. (2018). Prediction of IDH1-Mutation and 1p/19q-Codeletion Status Using Preoperative MR Imaging Phenotypes in Lower Grade Gliomas. American Journal of Neuroradiology, 39(1), 37-42. [Nominee for the 2017 Lucien Levy Best Research Article Award]
Park, Y. W., Ahn, S.J. (2018) Comparison of contrast-enhanced T2 FLAIR and 3D T1 black-blood fast spin-echo for detection of leptomeningeal metastases, Investigative Magnetic Resonance Imaging, 22(2):86-93
Park, Y. W., Kim, H.Y., Lee, H.J., Kim, S.H., Kim, S., Ahn, S.S., ... & Lee, S.K. (2018) 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, 22(2):102-109
Bae, S., Lee, H. J., Han, K., Park, Y. W., Choi, Y. S., Ahn, S. S., ... & Lee, S. K. (2017). Gadolinium deposition in the brain: association with various GBCAs using a generalized additive model. European radiology, 1-9.
Park, Y., Kim, M. D., Jung, D. C., Lee, S. J., Kim, G., Park, S. I., ... & Lee, D. Y. (2015). Can measurement of apparent diffusion coefficient before treatment predict the response to uterine artery embolization for adenomyosis?. European radiology, 25(5), 1303-1309.
Park, Y. W., Kim, M. J., Han, S. W., Kim, D. W., & Lee, M. J. (2015). Meaning of ureter dilatation during ultrasonography in infants for evaluating vesicoureteral reflux. European Journal of radiology, 84(2), 307-311.
Meaning of ureter dilatation during ultrasonography in infants for evaluating vesicoureteral reflux
EUROPEAN JOURNAL OF RADIOLOGY 84/2 :307-311,2015
Can measurement of apparent diffusion coefficient before treatment predict the response to uterine artery embolization for adenomyosis?
EUROPEAN RADIOLOGY 25/5 :1303-1309,2015
Gadolinium deposition in the brain: association with various GBCAs using a generalized additive model
EUROPEAN RADIOLOGY 27/8 :3,353-3,361,2017
Prediction of IDH1-Mutation and 1p/19q-Codeletion Status Using Preoperative MR Imaging Phenotypes in Lower Grade Gliomas
AMERICAN JOURNAL OF NEURORADIOLOGY 39/1 :37-42,2018
Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging
EUROPEAN RADIOLOGY 29/8 :4,068-4,076,2019
Radiomics MRI phenotyping with machine learning to predict the grade of lower-grade gliomas: a study focused on nonenhancing tumors
KOREAN JOURNAL OF RADIOLOGY 20/9 :1,381-1,389,2019
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