| A machine-learning approach to predict postprandial hypoglycemia W Seo, YB Lee, S Lee, SM Jin, SM Park BMC medical informatics and decision making 19, 1-13, 2019 | 84 | 2019 |
| Toward a fully automated artificial pancreas system using a bioinspired reinforcement learning design: In silico validation S Lee, J Kim, SW Park, SM Jin, SM Park IEEE Journal of Biomedical and Health Informatics 25 (2), 536-546, 2020 | 80 | 2020 |
| In vivo photoacoustic monitoring of vasoconstriction induced by acute hyperglycemia J Ahn, JW Baik, D Kim, K Choi, S Lee, SM Park, JY Kim, SH Nam, C Kim Photoacoustics 30, 100485, 2023 | 33 | 2023 |
| Design and simulation of novel laparoscopic renal denervation system: a feasibility study E Ye, J Baik, S Lee, SY Ryu, S Yang, EK Choi, WH Song, HD Yuk, ... International Journal of Hyperthermia 35 (1), 9-18, 2018 | 16 | 2018 |
| Clinical Decision Transformer: Intended Treatment Recommendation through Goal Prompting S Lee, DY Lee, S Im, NH Kim, SM Park arXiv preprint arXiv:2302.00612, 2023 | 11 | 2023 |
| Do-it-yourself open artificial pancreas system in children and adolescents with type 1 diabetes mellitus: real-world data MS Choi, S Lee, J Kim, G Kim, SM Park, JH Kim Diabetes & Metabolism Journal 46 (1), 154-159, 2022 | 10 | 2022 |
| An Electronic Health Record-Integrated Computerized Intravenous Insulin Infusion Protocol: Clinical Outcomes and in Silico Adjustment. SW Park, S Lee, WC Cha, KY Hur, JH Kim, MK Lee, SM Park, SM Jin Diabetes & Metabolism Journal 44 (1), 2020 | 3 | 2020 |
| High-speed photoacoustic monitoring of vascular changes during acute hyperglycemia J Ahn, JW Baik, D Kim, S Lee, SM Park, JY Kim, C Kim High-Speed Biomedical Imaging and Spectroscopy VIII 12390, 47-52, 2023 | | 2023 |
| 모두를 위한 메타러닝 정창훈, 이승현, 이동민, 장성은, 이승재, 윤승제(감수)최성준 위키북스, ISBN 9791158393670, 2022 | | 2022 |
| Apparatus, method, and program for predicting hypoglycemia, and apparatus, method, and program for generating hypoglycemia prediction model SM Park, WJ Seo, SH Lee US Patent 11,389,117, 2022 | | 2022 |
| Response: An Electronic Health Record-Integrated Computerized Intravenous Insulin Infusion Protocol: Clinical Outcomes and in Silico Adjustment (Diabetes Metab J 2020; 44: 56–66) SW Park, S Lee, WC Cha, KY Hur, JH Kim, MK Lee, SM Park, SM Jin Diabetes & Metabolism Journal 44 (2), 358-359, 2020 | | 2020 |
| REINFORCEMENT LEARNING BASED AUTOMATED INSULIN INFUSION: IN SILICO FEASIBILITY STUDY S Lee, J Kim, SM Jin, SM Park DIABETES TECHNOLOGY & THERAPEUTICS 22, A80-A80, 2020 | | 2020 |
| REINFORCEMENT LEARNING BASED INSULIN BOLUS CALCULATOR: IN SILICO STUDY J Kim, S Lee, JH Kim, SM Park DIABETES TECHNOLOGY & THERAPEUTICS 22, A78-A78, 2020 | | 2020 |
| Support Vector Regression 기반 개인화 혈당 예측 알고리즘 W Seo, S Lee, N Kim, J Kim, SM Park 2019 년 대한의용생체공학회 춘계학술대회, 2019 | | 2019 |
| An ensemble approach for accurately predicting hypoglycemia W Seo, J Lee, S Lee, SM Park Proceedings of the 2019 Frontiers Medical Devices, Washington, DC, USA, 19-21, 2019 | | 2019 |
| Facial Expression Recognition With Deep Learning Approach For Detecting Stress W Seo, S Lee, SM Park Nvidia GPU Technology Conference, 2019 | | 2019 |
| Deep neural networks for predicting blood glucose level of virtual patients with type 1 diabetes W Seo, S Lee, SM Park The Korean Society of Medical & Biological Engineering, 2018 | | 2018 |
| Developing a Computational Model of Renal Nerves and Surgical System for Laparoscopic Renal Denervation E Ye, SH Lee, J Baik, SY Ryu, WH Song, EK Choi, CW Jeong, SM Park 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | | 2018 |
