| 2021 | A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm
| YONSEI MEDICAL JOURNAL |
| 2023 | A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B | LIVER INTERNATIONAL |
| 2021 | Bone Radiomics Score Derived From DXA Hip Images Enhances Hip Fracture Prediction in Older Women | JOURNAL OF BONE AND MINERAL RESEARCH |
| 2023 | Chest Radiography of Tuberculosis: Determination of Activity Using Deep Learning Algorithm
| TUBERCULOSIS AND RESPIRATORY DISEASES |
| 2022 | Clinical application of deep learning-based synthetic CT from real MRI to improve dose planning accuracy in Gamma Knife radiosurgery: a proof of concept study | BIOMEDICAL ENGINEERING LETTERS |
| 2024 | Computed Tomography Radiomics for Preoperative Prediction of Spread Through Air Spaces in the Early Stage of Surgically Resected Lung Adenocarcinomas
| YONSEI MEDICAL JOURNAL |
| 2023 | Deep-Learning-Based Detection of Vertebral Fracture and Osteoporosis Using Lateral Spine X-Ray Radiography | JOURNAL OF BONE AND MINERAL RESEARCH |
| 2023 | Detection of Pacemaker and Identification of MRI-conditional Pacemaker Based on Deep-learning Convolutional Neural Networks to Improve Patient Safety | JOURNAL OF MEDICAL SYSTEMS |
| 2021 | Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2023 | Development and Validation of a Deep Learning-Based Synthetic Bone-Suppressed Model for Pulmonary Nodule Detection in Chest Radiographs
| JAMA NETWORK OPEN |
| 2022 | Development and Validation of a Visually Explainable Deep Learning Model for Classification of C-shaped Canals of the Mandibular Second Molars in Periapical and Panoramic Dental Radiographs | JOURNAL OF ENDODONTICS |
| 2023 | Development of a deep learning based image processing tool for enhanced organoid analysis
| SCIENTIFIC REPORTS |
| 2021 | Development of a deep learning-based algorithm for the automatic detection and quantification of aortic valve calcium | EUROPEAN JOURNAL OF RADIOLOGY |
| 2019 | Development of a deep neural network for generating synthetic dual-energy chest x-ray images with single x-ray exposure | PHYSICS IN MEDICINE AND BIOLOGY |
| 2021 | Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation
| SCIENTIFIC REPORTS |
| 2021 | Diffusion tensor and postcontrast T1-weighted imaging radiomics to differentiate the epidermal growth factor receptor mutation status of brain metastases from non-small cell lung cancer | NEURORADIOLOGY |
| 2023 | Fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasis | JOURNAL OF NEURORADIOLOGY |
| 2023 | Identifying major predictors for parenting stress in a caregiver of autism spectrum disorder using machine learning models
| FRONTIERS IN NEUROSCIENCE |
| 2023 | Influence of computed tomography slice thickness on deep learning-based, automatic coronary artery calcium scoring software performance
| QUANTITATIVE IMAGING IN MEDICINE AND SURGERY |
| 2021 | Machine Learning Based Radiomic HPV Phenotyping of Oropharyngeal SCC: A Feasibility Study Using MRI | LARYNGOSCOPE |
| 2021 | MRI Features May Predict Molecular Features of Glioblastoma in Isocitrate Dehydrogenase Wild-Type Lower-Grade Gliomas | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2020 | Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls
| SCIENTIFIC REPORTS |
| 2021 | Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results
| PLOS ONE |
| 2020 | Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas | EUROPEAN RADIOLOGY |
| 2021 | Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma | JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM |
| 2020 | Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation
| SCIENTIFIC REPORTS |
| 2023 | T1 Map-Based Radiomics for Prediction of Left Ventricular Reverse Remodeling in Patients With Nonischemic Dilated Cardiomyopathy
| KOREAN JOURNAL OF RADIOLOGY |
| 2021 | Using deep learning to predict temporomandibular joint disc perforation based on magnetic resonance imaging
| SCIENTIFIC REPORTS |
