Cortical thickness in single- versus multiple-domain amnestic mild cognitive impairment. - Sang Won Seo; Kiho Im; Jong-Min Lee; Yun-Hee Kim; Sung Tae Kim; Seong Yoon Kim; Dong Won Yang; Sun I. Kim; Yoon Sun Cho; Duk L. Na (NeuroImage, 2007)

Sulcal morphology changes and their relationship with cortical thickness and gyral white matter volume in mild cognitive impairment and Alzheimer's disease. - Kiho Im; Jong-Min Lee; Sang Won Seo; Sun Hyung Kim; Sun I. Kim; Duk L. Na (NeuroImage, 2008)

Defining functional SMA and pre-SMA subregions in human MFC using resting state fMRI: Functional connectivity-based parcellation method. - Jae-Hun Kim; Jong-Min Lee; Hang Joon Jo; Sook Hui Kim; Jung Hee Lee; Sung Tae Kim; Sang Won Seo; Robert W. Cox; Duk L. Na; Sun I. Kim; Ziad S. Saad (NeuroImage, 2010)

Automatic extraction of sulcal lines on cortical surfaces based on anisotropic geodesic distance. - Joon-Kyung Seong; Kiho Im; Sang Wook Yoo; Sang Won Seo; Duk L. Na; Jong-Min Lee (NeuroImage, 2010)

Fully automated pipeline for quantification and localization of white matter hyperintensity in brain magnetic resonance image. - Seun Jeon; Uicheul Yoon; Jun-Sung Park; Sang Won Seo; Jung-Hyun Kim; Sung Tae Kim; Sun I. Kim; Duk L. Na; Jong-Min Lee (Int. J. Imaging Syst. Technol., 2011)

The relationships between extent and microstructural properties of the midsagittal corpus callosum in human brain. - Jun-Sung Park; Uicheul Yoon; Ki-Chang Kwak; Sang Won Seo; Sun I. Kim; Duk L. Na; Jong-Min Lee (NeuroImage, 2011)

Social network analysis algorithm on a many-core GPU. - Sang Won Seo; Joohyun Kyong; Eun-Jin Im (ICUFN, 2012)

Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis. - Young-Beom Lee; Jeonghyeon Lee; Sungho Tak; Kangjoo Lee; Duk L. Na; Sang Won Seo; Yong Jeong; Jong Chul Ye (NeuroImage, 2016)

Normalization of cortical thickness measurements across different T1 magnetic resonance imaging protocols by novel W-Score standardization. - Jinyong Chung; Kwangsun Yoo; Peter Lee; Chan Mi Kim; Jee Hoon Roh; Ji Eun Park; Sang Joon Kim; Sang Won Seo; Jeong-Hyeon Shin; Joon-Kyung Seong; Yong Jeong (NeuroImage, 2017)

Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data. - Min Ju Kang; Sang Yun Kim; Duk L. Na; Byeong C. Kim; Dong Won Yang; Eun-Joo Kim; Hae Ri Na; Hyun Jeong Han; Jae-Hong Lee; Jong Hun Kim; Kee Hyung Park; Kyung Won Park; et al. (BMC Medical Informatics Decis. Mak., 2019)

Neural substrates of cognitive reserve in Alzheimer's disease spectrum and normal aging. - Dong Hyuk Lee; Peter Lee; Sang Won Seo; Jee Hoon Roh; Minyoung Oh; Jungsu S. Oh; Seung Jun Oh; Jae Seung Kim; Yong Jeong (NeuroImage, 2019)

Real-world prediction of preclinical Alzheimer's disease with a deep generative model. - Uiwon Hwang; Sung-Woo Kim; Dahuin Jung; Seung Wook Kim; Hyejoo Lee; Sang Won Seo; Joon-Kyung Seong; Sungroh Yoon (Artif. Intell. Medicine, 2023)

Enhancing Cerebral Microbleed Segmentation with Pretrained UNETR++. - Junmo Kwon; Sang Won Seo; Hyunjin Park (BIBM, 2024)

Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-Weighted and T2*-Weighted MRI. - Junmo Kwon; Sang Won Seo; Hyunjin Park (MICCAI (2), 2024)