Publications Papers

1st Author

• 1. De-identification of Magnetic Resonance Imaging: A Comprehensive Review for Ensuring Patient Privacy in Research Usage, HIR, 2026;July 

  2.  Impact of a Mobile Nutrition App on Dietary Outcomes in Cancer Survivors: A Pilot Feasibility Study, JMIR Cancer. 2026;Jan.

  3. Development of explainable machine learning models to predict side effects in patients with rheumatoid arthritis taking methotrexate treatment: a nationwide multicentre cohort study. BMJ Open. 2025; November

  4. Real-world validation of a deep learning model for detecting nasogastric tube placement on chest X-rays. Tomography. 2025; December

  5. Explainable AI for colorectal cancer mortality and risk factor prediction in Korea: A nationwide cancer cohort study. Int J Med Inform. 2025; October

  6. Predictive Mortality and Gastric Cancer Risk Using Clinical and Socio-Economic Data: A Nationwide Multicenter Cohort Study. Cancers. 2024;December

  7. Mortality Prediction Modeling for Patients with Breast Cancer Based on Explainable Machine Learning. Cancers. 2024; December.

  8. Multi-classification of Osteoporosis Grading Stages Using Abdominal Computed Tomography with Clinical Variables: Application of Deep Learning with a Convolutional Neural Network. J Korean Soc Radiol. 2024; May.

  9. Status of MyHealthWay and Suggestions for Widespread Implementation, Emphasizing the Utilization and Practical Use of Personal Medical Data. Healthc Inform Res. 2024; April.

  10. Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study. J Korean Med Sci. 2024; February.

  11. Deep Learning Application for the Classification of Alzheimer's Disease Using 18F-flortaucipir (AV-1451) Tau Positron Emission Tomography. Sci Rep. 2023; May.

  12. Machine Learning Application for Classification of Alzheimer's Disease Stages Using 18F-fortaucipir Positron Emission Tomography. Biomed Eng Online. 2023; April.

  13. The Image and Multimodal Classification for Alzheimer's Disease by Convolutional Neural Network and Combination with Long Short-Term Memory Using Tau-PET Images. Alzheimer's Assoc Int Conf. 2022; July.

  14. Quantitative Assessment of the Longitudinal Changes of Pulmonary Vascular Counts in Chronic Obstructive Pulmonary Disease. Respir Res. 2022; February.

  15. A Comprehensive Visual Rating Scale for Predicting Progression from Mild Cognitive Impairment to Dementia in Patients with Alzheimer's Pathology or Suspected Non-Alzheimer's Pathology. Dement Neurocogn Disord. 2020; December.

  16. The Applications of Radiomics for Predicting Survival Rate of Patients with Head and Neck Squamous Cell Carcinoma (HNSCC). J Magn. 2020; December.

  17. Radiomics in Oncology: Method and Clinical Applications. J Magn. 2020; March.

  18. A Study on Retrospective of External Radiation Exposure Dose by Optically Stimulated Luminescence of Smart Chip Card. JRST. 2019;October

  19. Analysis of the Stability of the Forest Area in Jeollanamdo and Jeollabukdo through Environmental Radioactivity Measurement.  JRI. 2018;August

Co-author

• 20. De-identification Strategy and Re-identification Risks for Head Computed Tomography Images via Deep Learning, J Imaging Inform Med, 2026; Jan.

  21. Association of psychosis with cognitive impairment is mediated by amyloidopathy in cognitive impairment. Front. Aging Neurosci. 2025; Dec.

  22. Hearing Loss and the Risk of Dementia: A Longitudinal Analysis of the Korean National Health Insurance Service Senior Cohort. J Alzheimers Dis. 2025; March.

  23. M4: Multi-modality Multi-task Model for mRS Prediction Using Diffusion-Weighted Magnetic Resonance Imaging. Sci Rep. 2024; August.

  24. Predicting the Progression of MCI to Alzheimer's Dementia Using Recurrent Neural Networks with a Series of Neuropsychological Tests. J Clin Neurol. 2024; May.

  25. Association Between Nicotine Dependence, Smartphone Usage Patterns, and Expected Compliance with the Smoking Cessation Application Among Smokers. Healthc Inform Res. 2024; May.

  26. Deep Learning Model Integrating Radiologic and Clinical Data to Predict Mortality After Ischemic Stroke. Heliyon. 2024; May.

  27. Lower-Body Fractures and the Risk of Dementia: A Nationwide Population-Based Study. J Clin Neurol. 2024; January.

  28. In-Advance Prediction of Pressure Ulcers via Deep Learning-Based Robust Missing Value Imputation on Real-Time Intensive Care Variables. J Clin Med. 2023; December.

  29. Machine Learning-Based Automatic Estimation of Cortical Atrophy Using Brain Computed Tomography Images. Sci Rep. 2022; August.

  30. Predicting Progression to Dementia with 'Comprehensive Visual Rating Scale' and Machine Learning Algorithms. Front Neurol. 2022; July.

  31. Indirect Volume Estimation for Acute Ischemic Stroke from Diffusion-Weighted Image Using Slice Image Segmentation. J Pers Med. 2022; March.

  32. Analysis of Treatment Patterns of Anti-Dementia Medications in Newly Diagnosed Alzheimer's Dementia Using OMOP CDM. Sci Rep. 2022; March.

  33. An Aggregated-Based Deep Learning Method for Leukemic B-Lymphoblast Classification. Diagnostics. 2020; December.

  34. Depressive Symptoms Are Associated with Worse Cognitive Prognosis in Patients with Newly Diagnosed Idiopathic Parkinson's Disease. Psychogeriatrics. 2020; August.

  35. Dynamic Association Between AT(N) Profile and Cognition Mediated by Cortical Thickness in Alzheimer's Continuum. Neuroimage Clin. 2020; May.

  36. The Understanding and Development of Acquiring Nuclear Medicine Images: A Review of Past, Present and Future. J Korean Magn Soc. 2021; March.

  37. Comparison of Reconstruction Algorithms for F-18 FP CIT PET Images. JKPS. 2019;May

  38. Evaluation of Noise and SNR according to Change of Tube Voltage by CT Equipment – Comparison of Automatic Exposure Control Method and Manual Exposure Control Method. JRI. 2018;May

1. 1st author, Discharge-Anchored Prediction of 3-Month and 1-Year Functional Outcomes After Acute Ischemic Stroke 

2. 1st author, Deep Learning based Multi-center Diffusion Weighted Image Analysis for TOAST Classification of Acute Ischemic Stroke 

3. 1st author, Predictive Classification of Progression in MCI Using Lipidomics

4. 1st author, Comparison of Freesurfer Version as Golden Standard for Cognitive Impairment in Alzheimer's Disease Patients

5. Co-author, Analysis of the correlation between brain tau imaging and brain waves

6. Co-author, Safety of 2-L Polyethylene Glycol Plus Ascorbate Versus 4-L Polyethylene Glycol for Colonoscopy in High-Risk Patients: Older Adults and Severe Renal Insufficiency, Digestive Diseases and Sciences.