| A validation study of the Inbrain CST: a tablet computer-based cognitive screening test for elderly people with cognitive impairment J Chin, H Lee, J Yun, BH Lee, J Park, J Yeom, DS Shin, DL Na Journal of Korean Medical Science 35 (34), 2020 | 17 | 2020 |
| Amyloid positivity in the Alzheimer/subcortical-vascular spectrum SH Kang, ME Kim, H Jang, H Kwon, H Lee, HJ Kim, SW Seo, DL Na Neurology 96 (17), e2201-e2211, 2021 | 24 | 2021 |
| Anatomic characteristics of supraorbital foramina in Korean using three-dimensional model SW Woo, HJ Lee, FS Nahm, PB Lee, EJ Choi The Korean journal of pain 26 (2), 130, 2013 | 25 | 2013 |
| Association between APOE ε2 and Aβ burden in patients with Alzheimer- and vascular-type cognitive impairment JS Lee, H Lee, S Park, Y Choe, YH Park, BK Cheon, A Hahn, ... Neurology 95 (17), e2354-e2365, 2020 | 6 | 2020 |
| Clustering and Classification Methods for Prediction of the risk for Developing Disease H Lee State University of New York at Stony Brook, 2016 | | 2016 |
| Comparison of longitudinal changes of cerebral small vessel disease markers and cognitive function between subcortical vascular mild cognitive impairment with and without … CW Yoon, YE Kim, HJ Kim, CS Ki, H Lee, JH Rha, DL Na, SW Seo Frontiers in Neurology 12, 586366, 2021 | 2 | 2021 |
| Machine learning for the prediction of amyloid positivity in amnestic mild cognitive impairment SH Kang, BK Cheon, JS Kim, H Jang, HJ Kim, KW Park, Y Noh, JS Lee, ... Journal of Alzheimer's Disease 80 (1), 143-157, 2021 | 14 | 2021 |
| Paternal age related schizophrenia (PARS): latent subgroups detected by k-means clustering analysis H Lee, D Malaspina, H Ahn, M Perrin, MG Opler, K Kleinhaus, S Harlap, ... Schizophrenia research 128 (1-3), 143-149, 2011 | 56 | 2011 |
| Performance of the plasma Aβ42/Aβ40 ratio, measured with a novel HPLC-MS/MS method, as a biomarker of amyloid PET status in a DPUK-KOREAN cohort H Jang, JS Kim, HJ Lee, CH Kim, DL Na, HJ Kim, JA Allué, L Sarasa, ... Alzheimer's Research & Therapy 13, 1-13, 2021 | 19 | 2021 |
| Potential applications of artificial intelligence in clinical trials for Alzheimer’s disease Y Seo, H Jang, H Lee Life 12 (2), 275, 2022 | 12 | 2022 |
| Predicting conversion of brain β-amyloid positivity in amyloid-negative individuals CJ Park, Y Seo, YS Choe, H Jang, H Lee, JP Kim, ... Alzheimer's Research & Therapy 14 (1), 129, 2022 | 4 | 2022 |
| Prediction of amyloid β PET positivity using machine learning in patients with suspected cerebral amyloid angiopathy markers YH Jung, H Lee, HJ Kim, DL Na, HJ Han, H Jang, SW Seo Scientific Reports 10 (1), 18806, 2020 | 8 | 2020 |
| Prediction of tau accumulation in prodromal Alzheimer’s disease using an ensemble machine learning approach J Kim, Y Park, S Park, H Jang, HJ Kim, DL Na, H Lee, SW Seo Scientific reports 11 (1), 5706, 2021 | 10 | 2021 |
| Relative importance of symptoms, cognition, and other multilevel variables for psychiatric disease classifications by machine learning J Walsh-Messinger, H Jiang, H Lee, K Rothman, H Ahn, D Malaspina Psychiatry Research 278, 27-34, 2019 | 15 | 2019 |
| Social event memory test (SEMT): a video-based memory test for predicting amyloid positivity for Alzheimer’s disease KW Kim, JD Choi, H Lee, NK Lee, S Park, J Chin, BH Lee, J Shin, Y Kim, ... Scientific Reports 8 (1), 10421, 2018 | 7 | 2018 |
| The cortical neuroanatomy related to specific neuropsychological deficits in Alzheimer's continuum SH Kang, YH Park, D Lee, JP Kim, J Chin, Y Ahn, SB Park, HJ Kim, ... Dementia and neurocognitive disorders 18 (3), 77, 2019 | 96 | 2019 |
