| 2022 | | Accuracy of auto-identification of the posteroanterior cephalometric landmarks using cascade convolution neural network algorithm and cephalometric images of different quality from nationwide multiple centers | 김영호 |
| 2021 | | Accuracy of automated identification of lateral cephalometric landmarks using cascade convolutional neural networks on lateral cephalograms from nationwide multi-centres | 김영호 |
| 2023 | | Acute coronary event (ACE) prediction following breast radiotherapy by features extracted from 3D CT, dose, and cardiac structures | 정승연 |
| 2019 | | Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT | 하은주 |
| 2025 | | Artificial Intelligence-Based Early Prediction of Acute Respiratory Failure in the Emergency Department Using Biosignal and Clinical Data | 박지은, 정우영, 정윤정 |
| 2024 | | Convolutional neural network-based classification of craniosynostosis and suture lines from multi-view cranial X-rays | 노태훈 |
| 2025 | | Convolutional neural network-based method for the real-time detection of reflex syncope during head-up tilt test | 홍지만 |
| 2019 | | Deep convolutional neural network models for the diagnosis of thyroid cancer | 하은주 |
| 2022 | | Deep learning model for tongue cancer diagnosis using endoscopic images | 김철호, 신유섭, 장전엽, 허재성 |
| 2023 | | Deep learning using computed tomography to identify high-risk patients for acute small bowel obstruction: development and validation of a prediction model : a retrospective cohort study | 손상용, 송정호, 신호정, 한상욱, 허훈 |
| 2020 | | DeepBTS: Prediction of Recurrence-free Survival of Non-small Cell Lung Cancer Using a Time-binned Deep Neural Network | 이현우 |
| 2021 | | External Validation of the Long Short-Term Memory Artificial Neural Network-Based SCaP Survival Calculator for Prediction of Prostate Cancer Survival | 김선일 |
| 2025 | | Leveraging deep transfer learning and explainable AI for accurate COVID-19 diagnosis: Insights from a multi-national chest CT scan study | SHAH, MASAUD, 우현구 |
| 2025 | | Predicting orthognathic surgery results as postoperative lateral cephalograms using graph neural networks and diffusion models | 김영호 |
| 2021 | | Predicting speech discrimination scores from pure-tone thresholds—A machine learning-based approach using data from 12,697 subjects | 김한태, 장정훈, 정연훈 |
| 2019 | | Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data | 문소영 |
| 2024 | | SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model features | Basith, Shaherin, 이광 |
| 2021 | | Style transfer strategy for developing a generalizable deep learning application in digital pathology | 노진, 박래웅 |
