| 2025 |
Liver cancer risk stratification using deep learning on nationwide longitudinal health screening data: a retrospective cohort study |
BMC Medical Informatics and Decision Making |
SCI |
| Real-time rodent behavior classifier using color-based body segmentation (R2C2) |
Lab Animal |
SCI |
| Multimodal AI for risk stratification in autism spectrum disorder: integrating voice and screening tools |
npj Digital Medicine |
SCI |
| Recovered graphene-hydrogel nanocomposites for multi-modal human motion recognition via optimized triboelectrification and machine learning |
Composites Part B: Engineering |
SCI |
| A tumor inpainting framework for MRI using automated masks based on channel-specific conditions across the volume |
Biomedical Signal Processing and Control |
SCI |
| 2024 |
Predicting Post-Neoadjuvant Chemoradiotherapy PD-L1 expression with Multivariate Radiomics in Esophageal Squamous Cell Carcinoma |
BMC Medical Imaging |
SCI |
| Uncertainty Quantification in Automated Detection of Vertebral Metastasis Using Ensemble Monte Carlo Dropout |
Journal of Imaging Informatics in Medicine |
SCI |
| 2023 |
Identifying major predictors for parenting stress in a caregiver of autism spectrum disorder using machine learning models |
Frontiers in Neuroscience |
SCI |
| Chest Radiography of Tuberculosis: Determination of Activity Using Deep Learning Algorithm |
Tuberculosis and Respiratory Diseases |
SCI |
| Development of a deep learning based image processing tool for enhanced organoid analysis |
Scientific Reports |
SCI |
| Detection of Pacemaker and Identification of MRI-conditional Pacemaker Based on Deep-learning Convolutional Neural Networks to Improve Patient Safety |
Journal of Medical Systems |
SCI |
| A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B |
Liver International |
SCI |
| Deep-learning-based detection of vertebral fracture and osteoporosis using lateral spine X-ray radiography |
Journal of Bone and Mineral Research |
SCI |
| 2022 |
Performance of Deep Learning-based Pulmonary Nodule Detection with Synthetic Bone-suppressed Chest Radiographs |
JAMA Network Open |
SCI |
| Influence of computed tomography slice thickness on deep learning-based, automatic coronary artery calcium scoring software performance |
Quantitative Imaging in Medicine and Surgery |
SCI |
| 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 |
SCI |
| 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 |
SCI |
| 2021 |
A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm |
Yonsei Medical Journal |
SCI |
| Radiomics machine learning study with small sample size: single random training-test set split may result in unreliable results |
PLOS ONE |
SCI |
| Bone Radiomics Score Derived From DXA Hip Images Enhances Hip Fracture Prediction in Older Women |
Journal of Bone and Mineral Research |
SCI |
| Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma |
Journal of Clinical Endocrinology & Metabolism |
SCI |
| Development of a deep learning-based algorithm for the automatic detection and quantification of aortic valve calcium |
European Journal of Radiology |
SCI |
| Using deep learning to predict temporomandibular joint disc perforation based on magnetic resonance imaging |
Scientific Reports |
SCI |
| Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation |
Scientific Reports |
SCI |
| 2020 |
Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images |
American Journal of Neuroradiology |
SCI |
| MRI Features May Predict Molecular Features of Glioblastoma in Isocitrate Dehydrogenase Wild-Type Lower-Grade Gliomas |
American Journal of Neuroradiology |
SCI |
| Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls |
Scientific Reports |
SCI |
| Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas |
European Radiology |
SCI |
| 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 |
SCI |
| Deep Learning for Automated Detection of Cyst and Tumors of the Jaw in Panoramic Radiographs |
Journal of Clinical Medicine |
SCI |
| Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation |
Scientific Reports |
SCI |
| Machine Learning Based Radiomic HPV Phenotyping of Oropharyngeal SCC: A Feasibility Study Using MRI |
Laryngoscope |
SCI |
| 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 |
SCI |
| 2018 |
Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction: A preliminary report |
Bone |
SCI |
