| 2023 | | Lymphangiography and lymphatic embolisation for the treatment of chyle leaks after neck surgery: assessment of lymphangiography findings and embolisation techniques | 김진우, 원제환, 최태원 |
| 2008 | | Lymphangioma of Fetus | 양정인 |
| 2004 | | Lymphangioma of the Urinary Bladder in an Adult Treated with Transurethral Resection | - |
| 2016 | | Lymphatic Embolization for the Treatment of Pelvic Lymphoceles: Preliminary Experience in Five Patients | 김진우, 원제환, 유희석, 장석준 |
| 2023 | | Lymphatic Intervention, the Frontline of Modern Lymphatic Medicine: Part I. History, Anatomy, Physiology, and Diagnostic Imaging of the Lymphatic System | 김진우 |
| 2023 | | Lymphatic Intervention, the Frontline of Modern Lymphatic Medicine: Part II. Classification and Treatment of the Lymphatic Disorders | 김진우 |
| 2016 | | Lymphatic Leak Occurring After Surgical Lymph Node Dissection: A Preliminary Study Assessing the Feasibility and Outcome of Lymphatic Embolization | 공태욱, 김진우, 백지흠, 원제환, 유희석, 장석준 |
| 2022 | | Lymphatic-Venous Malformation Presenting as a Mediastinal Mass in a 6-Year-Old Boy | 김석휘, 김중헌, 박지은, 장전엽 |
| 2019 | | Lymphopenia as a Potential Predictor of Ipsilateral Breast Tumor Recurrence in Early Breast Cancer | 임현이, 전미선, 정용식, 조오연 |
| 2011 | | Lymphopenia is an important prognostic factor in peripheral T-cell lymphoma (NOS) treated with anthracycline-containing chemotherapy. | 박준성, 정성현 |
| 2020 | | Lysophosphatidylserine induces eosinophil extracellular trap formation and degranulation: Implications in severe asthma | 박해심, 최영우 |
| 2023 | | M13KO7 bacteriophage enables Potato Virus Y detection | 권명희 |
| 2020 | | Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screening | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
| 2021 | | Machine learning approach using routine immediate postoperative laboratory values for predicting postoperative mortality | 박래웅 |
| 2018 | | Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation | 최소연 |
| 2020 | | Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory analysis of the CONSERVE study | 최소연 |
| 2018 | | Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals | 박래웅, 윤덕용, 최영 |
| 2022 | | Machine Learning Model for Classifying the Results of Fetal Cardiotocography Conducted in High-Risk Pregnancies | 김미란, 장혜진 |
| 2023 | | Machine Learning-assisted Quantitative Mapping of Intracortical Axonal Plasticity Following a Focal Cortical Stroke in Rodents | 김병곤, 박범희 |
| 2019 | | Machine learning-based identification of hip arthroplasty designs | 김정택 |
