| Predicting Alzheimer’s disease progression using multi-modal deep learning approach G Lee, K Nho, B Kang, KA Sohn, D Kim Scientific reports 9 (1), 1952, 2019 | 405 | 2019 |
| MildInt: deep learning-based multimodal longitudinal data integration framework G Lee, B Kang, K Nho, KA Sohn, D Kim Frontiers in genetics 10, 617, 2019 | 50 | 2019 |
| Identifying subtype-specific associations between gene expression and DNA methylation profiles in breast cancer G Lee, L Bang, SY Kim, D Kim, KA Sohn BMC medical genomics 10, 53-63, 2017 | 21 | 2017 |
| Development and validation of a prediction model for need for massive transfusion during surgery using intraoperative hemodynamic monitoring data SM Lee, G Lee, TK Kim, T Le, J Hao, YM Jung, CW Park, JS Park, JK Jun, ... JAMA network open 5 (12), e2246637-e2246637, 2022 | 16 | 2022 |
| 2019 Predicting Alzheimer’s disease progression using multi-modal deep learning approach Sci G Lee, K Nho, B Kang, KA Sohn, D Kim Rep, 1952 | 3 | 1952 |
| LAMDA at TREC CDS track 2015-Clinical Decision Support Track. MS Cha, WJ Han, G Lee, M Kim, KA Sohn TREC, 2015 | 2 | 2015 |
| Developing an oligogenic risk score for Alzheimer’s disease (adORS) G Lee, EH Suh, SH Jung, Z Wen, L Shen, D Kim, DN Initiative Alzheimer's & Dementia 18, e066011, 2022 | 1 | 2022 |
| 650-P: Artificial Intelligence and Individualized Optimal Glycemic Target in ICU Patients JS Yun, G Lee, J Kim, SH Ko, YB Ahn, D Kim, KH Song Diabetes 71 (Supplement_1), 2022 | 1 | 2022 |
| An interpretable Alzheimer’s disease oligogenic risk score informed by neuroimaging biomarkers improves risk prediction and stratification EH Suh, G Lee, SH Jung, Z Wen, J Bao, K Nho, H Huang, C Davatzikos, ... Frontiers in Aging Neuroscience 15, 1281748, 2023 | | 2023 |
| Author Correction: Predicting Alzheimer’s disease progression using multi-modal deep learning approach G Lee, K Nho, B Kang, KA Sohn, D Kim Scientific reports 13 (1), 12466, 2023 | | 2023 |
| Prediction of MCI-to-AD progression via integration of genetic data and longitudinal biomarkers, imaging and clinical data G Lee, K Nho, E Suh, M Kim, L Shen, KA Sohn, D Kim 2021 Alzheimer's Association International Conference, 2021 | | 2021 |
| 352-P: Assessment of a Deep Learning Model Based on Three-Year Longitudinal Electronic Health Record Data for Predicting Severe Hypoglycemia in Patients with Type 2 Diabetes G Lee, SH Ko, YB Ahn, EY Lee, SA Cha, D Kim, JS Yun Diabetes 70 (Supplement_1), 2021 | | 2021 |
| Generating Time Series Simulation Dataset Derived from Dynamic Time-Varying Bayesian Network G Lee, H Lee, KA Sohn Information Science and Applications 2017: ICISA 2017 8, 53-60, 2017 | | 2017 |
| Reinforcement Learning and Individualized Optimal Glycemic Target in ICU Patients JS Yun, G Lee, J Kim, SH Ko, YB Ahn, KA Sohn, D Kim Available at SSRN 4466838, 0 | | |
| LAMDA at TREC CDS track 2015 MS Cha, WJ Han, G Lee, M Kim, KA Sohn | | |
| Integrative analysis for outcome-guided gene networks from multiple omics profiles H Jeong, G Lee, KA Sohn Survival 1, G2, 0 | | |
