Search Results - "Lee, Seung-Koo" :: K.UTB vyhledávací portál

Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging

by Park, Yae Won, Oh, Jongmin, You, Seng Chan, Han, Kyunghwa, Ahn, Sung Soo, Choi, Yoon Seong, Chang, Jong Hee, Kim, Se Hoon, Lee, Seung-Koo
Published in European radiology (01.08.2019)

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Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results

by An, Chansik, Park, Yae Won, Ahn, Sung Soo, Han, Kyunghwa, Kim, Hwiyoung, Lee, Seung-Koo
Published in PloS one (12.08.2021)

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Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation

by Bae, Sohi, An, Chansik, Ahn, Sung Soo, Kim, Hwiyoung, Han, Kyunghwa, Kim, Sang Wook, Park, Ji Eun, Kim, Ho Sung, Lee, Seung-Koo
Published in Scientific reports (21.07.2020)

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Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach

by Suh, Hie Bum, Choi, Yoon Seong, Bae, Sohi, Ahn, Sung Soo, Chang, Jong Hee, Kang, Seok-Gu, Kim, Eui Hyun, Kim, Se Hoon, Lee, Seung-Koo
Published in European radiology (01.09.2018)

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Magnetic Resonance Imaging–Visible Perivascular Spaces in Basal Ganglia Predict Cognitive Decline in Parkinson's Disease

by Park, Yae Won, Shin, Na‐Young, Chung, Seok Jong, Kim, Jiwoong, Lim, Soo Mee, Lee, Phil Hyu, Lee, Seung‐Koo, Ahn, Kook Jin
Published in Movement disorders (01.11.2019)

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Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction

by Choi, Yoon Seong, Ahn, Sung Soo, Chang, Jong Hee, Kang, Seok-Gu, Kim, Eui Hyun, Kim, Se Hoon, Jain, Rajan, Lee, Seung-Koo
Published in European radiology (01.07.2020)

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Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction

by Bae, Sohi, Choi, Yoon Seong, Ahn, Sung Soo, Chang, Jong Hee, Kang, Seok-Gu, Kim, Eui Hyun, Kim, Se Hoon, Lee, Seung-Koo
Published in Radiology (01.12.2018)

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MRI‐Based Radiomics Approach for Differentiating Juvenile Myoclonic Epilepsy from Epilepsy with Generalized Tonic–Clonic Seizures Alone

by Sim, Yongsik, Lee, Seung‐Koo, Chu, Min Kyung, Kim, Won‐Joo, Heo, Kyoung, Kim, Kyung Min, Sohn, Beomseok
Published in Journal of magnetic resonance imaging (01.07.2024)

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Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging

by Park, Yae Won, Jun, Yohan, Lee, Yangho, Han, Kyunghwa, An, Chansik, Ahn, Sung Soo, Hwang, Dosik, Lee, Seung-Koo
Published in European radiology (01.09.2021)

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ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images

by Zacharaki, Evangelia I., Shen, Dinggang, Lee, Seung-Koo, Davatzikos, Christos
Published in IEEE transactions on medical imaging (01.08.2008)

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Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation

by Park, Yae Won, Choi, Dongmin, Park, Ji Eun, Ahn, Sung Soo, Kim, Hwiyoung, Chang, Jong Hee, Kim, Se Hoon, Kim, Ho Sung, Lee, Seung-Koo
Published in Scientific reports (03.02.2021)

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Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas

by Park, Yae Won, Ahn, Sung Soo, Park, Chae Jung, Han, Kyunghwa, Kim, Eui Hyun, Kang, Seok-Gu, Chang, Jong Hee, Kim, Se Hoon, Lee, Seung-Koo
Published in European radiology (01.12.2020)

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Association between choroid plexus volume and cognition in Parkinson disease

by Jeong, Seong Ho, Jeong, Hyun-Jae, Sunwoo, Mun Kyung, Ahn, Sung Soo, Lee, Seung-Koo, Lee, Phil Hyu, Kim, Yun Joong, Sohn, Young H, Park, Chae Jung, Chung, Seok Jong
Published in European journal of neurology (01.10.2023)

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Characteristics of perivascular space dilatation in normal aging

by Park, Chang‐hyun, Shin, Na‐Young, Nam, Yoonho, Yoon, Uicheul, Ahn, Kookjin, Lee, Seung‐Koo
Published in Human brain mapping (01.06.2023)

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Amide proton transfer imaging to discriminate between low- and high-grade gliomas: added value to apparent diffusion coefficient and relative cerebral blood volume

by Choi, Yoon Seong, Ahn, Sung Soo, Lee, Seung-Koo, Chang, Jong Hee, Kang, Seok-Gu, Kim, Se Hoon, Zhou, Jinyuan
Published in European radiology (01.08.2017)

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Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma

by Park, Yae Won, Eom, Jihwan, Kim, Sooyon, Kim, Hwiyoung, Ahn, Sung Soo, Ku, Cheol Ryong, Kim, Eui Hyun, Lee, Eun Jig, Kim, Sun Ho, Lee, Seung-Koo
Published in The journal of clinical endocrinology and metabolism (01.08.2021)

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