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Sungwon Ham

Showing results (11-20 of 27) with videos related to

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Scientific Reports|March 3, 2025
Improving accuracy for inferior alveolar nerve segmentation with multi-label of anatomical adjacent structures using active learning in cone-beam computed tomographySungchul On, Junhyeok Ock, Myungsoo Bae, et al.
Scientific Reports|November 29, 2022
Fully automated condyle segmentation using 3D convolutional neural networksNayansi Jha, Taehun Kim, Sungwon Ham, et al.
European Radiology|April 27, 2024
Olecranon bone age assessment in puberty using a lateral elbow radiograph and a deep-learning modelGayoung Choi, Sungwon Ham, Bo-Kyung Je, et al.
Korean Journal of Radiology|February 27, 2024
Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical ProfessionalsKiduk Kim, Kyungjin Cho, Ryoungwoo Jang, et al.
European Radiology|October 31, 2020
Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastomaJi Eun Park, Sungwon Ham, Ho Sung Kim, et al.
Scientific Reports|July 25, 2023
Automated detection of intracranial aneurysms using skeleton-based 3D patches, semantic segmentation, and auxiliary classification for overcoming data imbalance in brain TOF-MRASungwon Ham, Jiyeon Seo, Jihye Yun, et al.
European Radiology|May 16, 2024
Electron density dual-energy CT can improve the detection of lumbar disc herniation with higher image quality than standard and virtual non-calcium imagesJuhyun Jeong, Sungwon Ham, Euddeum Shim, et al.
AJNR. American Journal of Neuroradiology|June 12, 2025
Machine Learning-Based Prediction of Delayed Neurological Sequelae in Carbon Monoxide Poisoning Using Automatically Extracted MR Imaging FeaturesGrace Yoojin Lee, Chang Hwan Sohn, Dongwon Kim, et al.
Scientific Reports|October 17, 2020
Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection statusChong Hyun Suh, Kyung Hwa Lee, Young Jun Choi, et al.
Stroke|January 29, 2020
Machine Learning Approach to Identify Stroke Within 4.5 HoursHyunna Lee, Eun-Jae Lee, Sungwon Ham, et al.
Pageof 3

Showing results (11-20 of 27) with videos related to

Sort By:
Pageof 3
Scientific Reports|March 3, 2025
Improving accuracy for inferior alveolar nerve segmentation with multi-label of anatomical adjacent structures using active learning in cone-beam computed tomographySungchul On, Junhyeok Ock, Myungsoo Bae, et al.
Scientific Reports|November 29, 2022
Fully automated condyle segmentation using 3D convolutional neural networksNayansi Jha, Taehun Kim, Sungwon Ham, et al.
European Radiology|April 27, 2024
Olecranon bone age assessment in puberty using a lateral elbow radiograph and a deep-learning modelGayoung Choi, Sungwon Ham, Bo-Kyung Je, et al.
Korean Journal of Radiology|February 27, 2024
Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical ProfessionalsKiduk Kim, Kyungjin Cho, Ryoungwoo Jang, et al.
European Radiology|October 31, 2020
Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastomaJi Eun Park, Sungwon Ham, Ho Sung Kim, et al.
Scientific Reports|July 25, 2023
Automated detection of intracranial aneurysms using skeleton-based 3D patches, semantic segmentation, and auxiliary classification for overcoming data imbalance in brain TOF-MRASungwon Ham, Jiyeon Seo, Jihye Yun, et al.
European Radiology|May 16, 2024
Electron density dual-energy CT can improve the detection of lumbar disc herniation with higher image quality than standard and virtual non-calcium imagesJuhyun Jeong, Sungwon Ham, Euddeum Shim, et al.
AJNR. American Journal of Neuroradiology|June 12, 2025
Machine Learning-Based Prediction of Delayed Neurological Sequelae in Carbon Monoxide Poisoning Using Automatically Extracted MR Imaging FeaturesGrace Yoojin Lee, Chang Hwan Sohn, Dongwon Kim, et al.
Scientific Reports|October 17, 2020
Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection statusChong Hyun Suh, Kyung Hwa Lee, Young Jun Choi, et al.
Stroke|January 29, 2020
Machine Learning Approach to Identify Stroke Within 4.5 HoursHyunna Lee, Eun-Jae Lee, Sungwon Ham, et al.
Pageof 3