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ArticlesFull Text
Restricted Mean Survival Time for Survival Analysis: A Quick Guide for Clinical Researchers
Author / Creator:Han, Kyunghwa ; Jung, Inkyung
Publisher:Korea (South): The Korean Society of Radiology
Journal title:Korean Journal of Radiology, 2022, 23(5), , pp.495-499
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ArticlesPeer ReviewedFull Text
Quality assessment of radiomics research in cardiac CT: a systematic review
Author / Creator:Lee, Suji ; Han, Kyunghwa ; Suh, Young Joo
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2022-05, Vol.32 (5), p.3458-3468
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Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation
Author / Creator:Bae, Sohi ; An, Chansik ; Ahn, Sung Soo ; Kim, Hwiyoung ; Han, Kyunghwa ; Kim, Sang Wook ; Park, Ji Eun ; Kim, Ho Sung ; Lee, Seung-Koo
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2020-07, Vol.10 (1), p.12110, Article 12110
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Statistical Methods for the Analysis of Inter-Reader Agreement Among Three or More Readers
Author / Creator:Han, Kyunghwa ; Ryu, Leeha
Publisher:Korea (South): The Korean Society of Radiology
Journal title:Korean Journal of Radiology, 2024, 25(4), , pp.325-327
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ArticlesPeer ReviewedFull Text
Patient-centered radiology reports with generative artificial intelligence: adding value to radiology reporting
Author / Creator:Park, Jiwoo ; Oh, Kangrok ; Han, Kyunghwa ; Lee, Young Han
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2024-06, Vol.14 (1), p.13218-9, Article 13218
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ArticlesPeer ReviewedFull Text
Prevalence of abnormal cardiovascular magnetic resonance findings in recovered patients from COVID-19: a systematic review and meta-analysis
Author / Creator:Kim, Jin Young ; Han, Kyunghwa ; Suh, Young Joo
Publisher:England: BioMed Central Ltd
Journal title:Journal of cardiovascular magnetic resonance, 2021-09, Vol.23 (1), p.100-100, Article 100
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ArticlesPeer ReviewedFull Text
Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging
Author / Creator:Park, Yae Won ; Jun, Yohan ; Lee, Yangho ; Han, Kyunghwa ; An, Chansik ; Ahn, Sung Soo ; Hwang, Dosik ; Lee, Seung-Koo
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2021-09, Vol.31 (9), p.6686-6695
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ArticlesPeer ReviewedFull Text
Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging
Author / Creator:Park, Yae Won ; Oh, Jongmin ; Seng Chan You ; Han, Kyunghwa ; Ahn, Sung Soo ; Choi, Yoon Seong ; Chang, Jong Hee ; Kim, Se Hoon ; Seung-Koo, Lee
Publisher:Heidelberg: Springer Nature B.V
Journal title:European radiology, 2019-08, Vol.29 (8), p.4068-4076
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ArticlesPeer ReviewedFull Text
Application of artificial intelligence–based computer-assisted diagnosis on synthetic mammograms from breast tomosynthesis: comparison with digital mammograms
Author / Creator:Lee, Si Eun ; Han, Kyunghwa ; Kim, Eun-Kyung
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2021-09, Vol.31 (9), p.6929-6937
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ArticlesPeer ReviewedFull Text
Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results
Author / Creator:An, Chansik ; Park, Yae Won ; Ahn, Sung Soo ; Han, Kyunghwa ; Kim, Hwiyoung ; Lee, Seung-Koo
Publisher:United States: Public Library of Science
Journal title:PloS one, 2021-08, Vol.16 (8), p.e0256152-e0256152
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ArticlesPeer ReviewedFull Text
A radiomics-based model for predicting prognosis of locally advanced gastric cancer in the preoperative setting
Author / Creator:Shin, Jaeseung ; Lim, Joon Seok ; Huh, Yong-Min ; Kim, Jie-Hyun ; Hyung, Woo Jin ; Chung, Jae-Joon ; Han, Kyunghwa ; Kim, Sungwon
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2021-01, Vol.11 (1), p.1879-1879, Article 1879
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ArticlesPeer ReviewedFull Text
Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas
Author / Creator:Park Yae Won ; Ahn, Sung Soo ; Park Chae Jung ; Han Kyunghwa ; Kim, Eui Hyun ; Seok-Gu, Kang ; Chang, Jong Hee ; Kim, Se Hoon ; Seung-Koo, Lee
Publisher:Heidelberg: Springer Nature B.V
Journal title:European radiology, 2020-12, Vol.30 (12), p.6475-6484
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ArticlesPeer ReviewedFull Text
Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma
Author / Creator:Lee, Si Eun ; Han, Kyunghwa ; Kwak, Jin Young ; Lee, Eunjung ; Kim, Eun-Kyung
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2018-09, Vol.8 (1), p.13546-8, Article 13546
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ArticlesPeer ReviewedFull Text
Stability selection for LASSO with weights based on AUC
Author / Creator:Kwon, Yonghan ; Han, Kyunghwa ; Suh, Young Joo ; Jung, Inkyung
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2023-03, Vol.13 (1), p.5207-5207, Article 5207
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ArticlesPeer ReviewedFull Text
Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma
Author / Creator:Joo Bio ; Han Kyunghwa ; Ahn, Sung Soo ; Choi, Yoon Seong ; Chang, Jong Hee ; Seok-Gu, Kang ; Kim, Se Hoon ; Zhou, Jinyuan ; Seung-Koo, Lee
Publisher:Heidelberg: Springer Nature B.V
Journal title:European radiology, 2019-12, Vol.29 (12), p.6643-6652
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ArticlesPeer ReviewedFull Text
Implications of US radiomics signature for predicting malignancy in thyroid nodules with indeterminate cytology
Author / Creator:Yoon, Jiyoung ; Lee, Eunjung ; Kang, Sang-Wook ; Han, Kyunghwa ; Park, Vivian Youngjean ; Kwak, Jin Young
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2021-07, Vol.31 (7), p.5059-5067
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ArticlesPeer ReviewedFull Text
Diffusion tensor and postcontrast T1-weighted imaging radiomics to differentiate the epidermal growth factor receptor mutation status of brain metastases from non-small cell lung cancer
Author / Creator:Park, Yae Won ; An, Chansik ; Lee, JaeSeong ; Han, Kyunghwa ; Choi, Dongmin ; Ahn, Sung Soo ; Kim, Hwiyoung ; Ahn, Sung Jun ; Chang, Jong Hee ; Kim, Se Hoon ; Lee, Seung-Koo
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Neuroradiology, 2021-03, Vol.63 (3), p.343-352
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ArticlesPeer ReviewedFull Text
Artificial intelligence for breast cancer screening in mammography (AI-STREAM): preliminary analysis of a prospective multicenter cohort study
Author / Creator:Chang, Yun-Woo ; Ryu, Jung Kyu ; An, Jin Kyung ; Choi, Nami ; Park, Young Mi ; Ko, Kyung Hee ; Han, Kyunghwa
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2025-03, Vol.16 (1), p.2248-11, Article 2248
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ArticlesPeer ReviewedFull Text
The impact of artificial intelligence on the reading times of radiologists for chest radiographs
Author / Creator:Shin, Hyun Joo ; Han, Kyunghwa ; Ryu, Leeha ; Kim, Eun-Kyung
Publisher:London: Nature Publishing Group UK
Journal title:NPJ digital medicine, 2023-04, Vol.6 (1), p.82-82, Article 82
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ArticlesPeer ReviewedFull Text
Three-dimensional radiomics of triple-negative breast cancer: Prediction of systemic recurrence
Author / Creator:Koh, Jieun ; Lee, Eunjung ; Han, Kyunghwa ; Kim, Sujeong ; Kim, Dong-kyu ; Kwak, Jin Young ; Yoon, Jung Hyun ; Moon, Hee Jung
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2020-02, Vol.10 (1), p.2976-2976, Article 2976
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Showing 1 to 20 of 166 results

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Restricted Mean Survival Time for Survival Analysis: A Quick Guide for Clinical Researchers

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Quality assessment of radiomics research in cardiac CT: a systematic review

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

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Statistical Methods for the Analysis of Inter-Reader Agreement Among Three or More Readers

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Patient-centered radiology reports with generative artificial intelligence: adding value to radiology reporting

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Prevalence of abnormal cardiovascular magnetic resonance findings in recovered patients from COVID-19: a systematic review and meta-analysis

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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

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

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Application of artificial intelligence–based computer-assisted diagnosis on synthetic mammograms from breast tomosynthesis: comparison with digital mammograms

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

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A radiomics-based model for predicting prognosis of locally advanced gastric cancer in the preoperative setting

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

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Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma

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Stability selection for LASSO with weights based on AUC

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Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma

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Implications of US radiomics signature for predicting malignancy in thyroid nodules with indeterminate cytology

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Diffusion tensor and postcontrast T1-weighted imaging radiomics to differentiate the epidermal growth factor receptor mutation status of brain metastases from non-small cell lung cancer

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Artificial intelligence for breast cancer screening in mammography (AI-STREAM): preliminary analysis of a prospective multicenter cohort study

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The impact of artificial intelligence on the reading times of radiologists for chest radiographs

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Three-dimensional radiomics of triple-negative breast cancer: Prediction of systemic recurrence

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