Publication
Efficacy of smartphone application-based multi-domain cognitive training in older adults without dementia
2023 Front. Aging Neurosci.
by Jinju Cho, Dayeong An, Eunhye Cho, Daeun Kim, Ingyu Choi, Jihyun Cha, JongKwan Choi5 Duk L. Na, Hyemin Jang, Juhee Chin,
Distinct effects of cholesterol profile components on amyloid and vascular burdens
2023 Alzheimer’s Research & Therapy
by Sung Hoon Kang, Heejin Yoo, Bo Kyoung Cheon, Yu Hyun Park, Soo-Jong Kim, Hongki Ham, Hyemin Jang, Hee Jin Kim, Kyungmi Oh, Seong-Beom Koh, Duk L. Na, Jun Pyo Kim & Sang Won Seo
Emerging role of vascular burden in AT(N) classification in individuals with Alzheimer’s and concomitant cerebrovascular burdens
2023 BMJ Journals
by Min Young Chun, Hyemin Jang, Soo-Jong Kim, Yu Hyun Park, Jihwan Yun, Samuel N Lockhart, Michael Weiner, Charles De Carli, Seung Hwan Moon, Jae Yong Choi, Kyung Rok Nam, Byung-Hyun Byun, Sang-Moo Lim, Jun Pyo Kim, Yeong Sim Choe, Young Ju Kim, Duk L Na, Hee Jin Kim, Sang Won Seo
Effects of smartphone application-based cognitive training at home on cognition in community-dwelling non-demented elderly individuals: A randomized controlled trial
2021 Alzheimers Dement (N Y)
by Kim SE, Woo S, Kim SW, Chin J, Kim HJ, Lee BI, Park J, Park KW, Kang DY, Noh Y, Ye BS, Yoo HS, Lee JS, Kim Y, Kim SJ, Cho SH, Na DL, Lockhart SN, Jang H, Seo SW
A Validation Study of the Inbrain CST: a Tablet Computer-based Cognitive Screening Test for Elderly People with Cognitive Impairment
2020 J Korean Med Sci
by Juhee Chin, Da Eun Kim, Hyejoo Lee, Juoh Yun, Byung Hwa Lee, Jongha Park, Jiho Yeom, Dae-Seock Shin, and Na DL
Harmonisation of PET imaging features with different amyloid ligands using machine learning-based classifier
2021 Eur J Nucl Med Mol Imaging
by Kang SH, Kim J, Kim JP, Cho SH, Choe YS, Jang H, Kim HJ, Koh SB, Na DL, Seong JK, Seo SW
Prediction of tau accumulation in prodromal Alzheimer’s disease using an ensemble machine learning approach
2021 Sci Rep
by Kim J, Park Y, Park S, Jang H, Kim HJ, Na DL, Lee H, Seo SW
The preclinical amyloid sensitive composite to determine subtle cognitive differences in preclinical Alzheimer’s disease
2020 Sci Rep
by Hahn A, Kim YJ, Kim HJ, Jang H, Cho H, Choi SH, Kim BC, Park KW, Na DL, Chin J, Seo SW
Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes
2020 Eur J Nucl Med Mol Imaging
by Jun Pyo Kim, Jeonghun Kim, Yeshin Kim, Seung Hwan Moon, Yu Hyun Park, Sole Yoo, Hyemin Jang, Hee Jin Kim, Duk L Na, Sang Won Seo, Joon-Kyung Seong
Social Event Memory Test (SEMT): A Video-based Memory Test for Predicting Amyloid Positivity for Alzheimer’s Disease
2018 Sci Rep
by Kim KW, Choi JD, Lee H, Lee NK, Park S, Chin J, Lee BH, Shin J, Kim Y, Jang H, Choi JH, Na DL
Amyloid involvement in subcortical regions predicts cognitive decline
2018 Eur J Nucl Med Mol Imaging
by Cho SH, Shin JH, Jang H, Park S, Kim HJ, Kim SE, Kim SJ, Kim Y, Lee JS, Na DL, Lockhart SN, Rabinovici GD, Seong JK, Seo SW
Prediction Model of Conversion to Dementia Risk in Subjects with Amnestic Mild Cognitive Impairment: A Longitudinal, Multi-Center Clinic-Based Study
2018 J Alzheimers Dis
by Jang H, Ye BS, Woo S, Kim SW, Chin J, Choi SH, Jeong JH, Yoon SJ, Yoon B, Park KW, Hong YJ, Kim HJ, Lockhart SN, Na DL, Seo SW