Publications

~ 2025

• [J23] J. Kim#, H.-L. Yang#, E. Kim*, H.-C. Lee*, H.-K. Yoon, Y. J. Kim, K.-N. Kim, J.-Y. Kim, J. M. Sung, T. Lee, "Analysis and development of risk prediction models for chronic opioid use after surgery: a cohort study using the nationwide database", Korean Journal of Anesthesiology, 78(5), Oct. 2025. (SCIE, IF=6.3, JCR 2024 top 7.35%), https://doi.org/10.4097/kja.24831

• [J22] H.-L. Yang#, S.-A Park#, H.Y. Lee, H. Lee, H.-G. Ryu, H.-C. Lee, S.-M. Lee, J. Lee, "Associations of Driving Pressure and Mechanical Power with Postoperative Pulmonary Complications in One-lung Ventilated Surgery", Journal of Clinical Anesthesia, 106:111981, Sep. 2025 (SCIE, IF=5.1, JCR 2024 top 10.29%), https://doi.org/10.1016/j.jclinane.2025.111981 

• [J21] H.-L. Yang, Leo A. Celi, H. Lee, S.-A Park, SJ. Lee, C.-W. Jung, H.-C. Lee, "Effect of selection bias on the performance of deep learning-based intraoperative hypotension prediction model using real-world samples in a publicly available dataset", British Journal of Anaesthesia, 135(3):571-581, Sep. 2025. (SCIE, IF=9.2, JCR 2024 top 1.47%, #1, top journal in Anesthesiology area) https://doi.org/10.1016/j.bja.2025.03.024

  • [Editorial Cover] S. T. Vistisen, and P. Elbers, "Predicting arterial pressure without prejudice: towards effective hypotension prediction models", British Journal of Anaesthesia, Jul. 2025. https://doi.org/10.1016/j.bja.2025.06.016 

• [J20] S. Shim, M.-S. Kim, C. G. Yae, Y. K. Kang, J. R. Do, H. K. Kim*, H.-L. Yang*, "Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification", Journal of the American Medical Informatics Association, 32(5):800-810, May 2025. (SCIE, IF=4.6, JCR 2024 top 10.81%) https://dx.doi.org/10.1093/jamia/ocaf021 

• [J19] H.-L. Yang#, S.-A Park#, H.Y. Lee, H. Lee, H.G. Ryu, "Feasibility of estimating tidal volume from electrocardiograph-derived respiration signal and respiration waveform", Journal of Critical Care, 85:154920, Feb. 2025 (SCIE, IF=2.9), https://doi.org/10.1016/j.jcrc.2024.154920 

• [J18] S. Kwon#, S. Chung#, S.-R. Lee*, K. Kim*, J. Kim, D. Baek, H.-L. Yang, E.-K. Choi, S. Oh, "Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study", Digital Health, 11:20552076241311460, Jan. 2025 (SCIE, IF=3.3, JCR 2024 Q1), https://doi.org/10.1177/20552076241311460 

• [J17] H.Y. Lee, S. Chung, D. Hyeon, H.-L. Yang, H.-C. Lee, H.G. Ryu, H. Lee, "Reinforcement learning model for optimizing dexmedetomidine dosing to prevent delirium in critically ill patients", npj Digital Medicine, 7(1):325, Nov. 2024. (SCIE, IF=15.1, JCR 2024 top 0.54%, #1) https://doi.org/10.1038/s41746-024-01335-x 

• [J16] 양현림*, 김민경, 이정찬, 이사람, "소프트웨어 의료기기 허가심사를 위한 연구개발 프로세스 연계 요구사항 분석 및 가이드라인 개발", Journal of the Biomedical Engineering Research, 45(5): 268-278, 2024. (KCI) https://dx.doi.org/10.9718/JBER.2024.45.5.268

• [C3] S. Shim, H.-L. Yang*, M.-S. Kim*, "Comparison of Self-Supervised Learning Methods for Optical Coherence Tomography Image Classification", The 8th International Conference on Medical and Health Informatics (ICMHI 2024), May 2024. https://doi.org/10.1145/3673971.3673989

• [J15] J. Kim, H.-L. Yang, S.-H. Kim, S. Kim, J. Lee, J. Ryu, K. Kim, Z. Kim, G. Ahn, D. Kwon, H.-J. Yoon, "Deep learning-based long-term risk evaluation of incident type 2 diabetes using electrocardiogram in a non-diabetic population: a retrospective, multicentre study", EClinicalMedicine, 68:102445, Feb. 2024 (SCIE, IF=10.0, JCR 2024 top 3.31%); https://doi.org/10.1016/j.eclinm.2024.102445 

• [J14] D. Yun, H.-L. Yang, S.K. Kwon, S.-R. Lee, K. Kim, K. Kim, H.-C. Lee, C.-W. Jung, Y.S. Kim, S.S. Han*, "Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture", Journal of the American Medical Informatics Association, 31(1):79-88, Dec. 2023. (SCIE, IF=4.7, JCR 2023 top 10.92%); https://doi.org/10.1093/jamia/ocad219 

• [J13] H. Lee, H.-L. Yang, H.G. Ryu, C.-W. Jung, Y.J. Cho, S.B. Yoon, H.-K. Yoon, H.-C. Lee*, "Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU", npj Digital Medicine, 6(1):215, Nov. 2023. (SCIE, IF=12.4, JCR 2023 top 1.15%, #2); https://doi.org/10.1038/s41746-023-00960-2 

• [J12] D. Yun, H.-L. Yang, S.G. Kim, K. Kim, D.K. Kim, K.-H. Oh, K.W. Joo, Y.S. Kim, S.S. Han*, "Real-time dual prediction of intradialytic hypotension and hypertension using an explainable deep learning model", Scientific Report, 13(1):18054, Oct. 2023. (SCIE, IF=3.8, JCR 2023 Q1); https://doi.org/10.1038/s41598-023-45282-1

• [J11] J.-B. Park, H.-J. Lee, H.-L. Yang, E.-H. Kim, H.-C. Lee, C.-W. Jung, H.-S. Kim*, "Machine learning-based prediction of intraoperative hypoxemia for pediatric patients", PLoS One, 18(3):e0282303, Mar. 2023 (SCIE, IF=2.9, JCR 2023 Q1); https://doi.org/10.1371/journal.pone.0282303 

• [J10] H.-Y. Cho#, K. Lee#, H.-J. Kong, H.-L. Yang, C.-W. Jung, H.-P. Park, J.-Y. Hwang, H.-C. Lee*, "Deep-learning model associating lateral cervical radiographic features with Cormack–Lehane grade 3 or 4 glottic view", Anaesthesia, 78(1):64-72, Jan. 2023 (SCIE, IF=10.7, JCR 2022 top 1.47%, #1); https://doi.org/10.1111/anae.15874

• [C2] S.-A Park, H.-C. Lee, C.-W. Jung, H.-L. Yang*, "Attention mechanisms for physiological signal deep learning: which attention should we take?", MICCAI 2022 (top conference in medical AI area). (acceptance rate=31%), http://arxiv.org/abs/2207.06904, https://doi.org/10.1007/978-3-031-16431-6_58

• [J9] H.-K. Yoon, H.-L. Yang, C.-W. Jung, H.-C. Lee*, "Artificial intelligence in perioperative medicine: a narrative review", Korean Journal of Anesthesiology, 73(3):202-215, Jun. 2022 (SCIE, IF=2.9); https://doi.org/10.4097/kja.22157 

• [J8] J.G. Nam#, J.W. Kim#, K. Noh, H. Chio, D.S. Kim, S.-J. Yoo, H.-L. Yang, E.J. Hwang, J.M. Goo, E.-A. Park, H.Y. Sun, M.-S. Kim*, C.M. Park*, "Automatic Prediction of Left Cardiac Chamber Enlargement from Chest Radiographs using Convolutional Neural Network", European Radiology, 31(11):8130-8140, Nov. 2021 (SCIE, IF=7.034, JCR 2021 top 15%); https://doi.org/10.1007/s00330-021-07963-1

• [J7] H.-L. Yang, C.-W Jung, S.-M. Yang, M.-S. Kim, S. Shim, K.-H. Lee, H.-C. Lee*, "Development and validation of an arterial pressure-based cardiac output algorithm using a convolutional neural network: Retrospective study based on prospective registry data", JMIR Medical Informatics, 9(8):e24762, Aug. 2021 (SCIE, IF=3.231); https://doi.org/10.2196/24762 

• [C1] H.-L. Yang, H.-C. Lee, C.-W. Jung, M.-S. Kim*, "A Deep Learning Method for Intraoperative Age-agnostic and Disease-specific Cardiac Output Monitoring from Arterial Blood Pressure" (Full paper track), IEEE International conference on bioinformatics and bioengineering (IEEE BIBE) 2020, https://doi.org/10.1109/BIBE50027.2020.00112

• [J6] H.-L. Yang, J.J. Kim, J.H. Kim, Y.K. Kang, D.H. Park, H.S. Park, H.K. Kim*, M.-S. Kim*, "Weakly supervised lesion localization for age-related macular degeneration detection using optical coherence tomography images", PLOS ONE, 14(4):e0215076, Apr. 2019. (SCIE, IF=2.766) https://doi.org/10.1371/journal.pone.0215076

• [J5] H.-L. Yang, T.W. Chang* and Y. Choi, "Exploring the Research Trend of Smart Factory with Topic Modeling", Sustainability, 10(8), 2018. (SCIE, SSCI, IF=2.592) https://doi.org/10.3390/su10082779

• [J4] T.W. Chang* and H.-L. Yang, "Latent Semantic Analysis of Research Papers on Smart Factory", ICIC Express Letters, 11(4), 2017.

• [J3] H.L. Yang, H.Y. Oh, H.J. Lee, T.W. Chang*, "A Study on Mobile Service through Analysis of Business Model Patents", Journal of the Korea Management Engineers Society, 21(4), 2016.

• [J2] H.L. Yang and T.W. Chang*, "Development of Multiple Visual Devices for 3D Surveillance of Big Structure", ICIC Express Letters Part B: Applications, 7(9), 2016.

• [J1] H.L. Yang and T.W. Chang*, "An R-based Genetic Algorithm for Placement of Surveillance Cameras", ICIC Express Letters, 10(6), 2016.