인공지능 연구원으로 Kidney segmentation, Renal Function Prediction 과 같은 연구를 수행 1. Automatic segmentation of Kidney, mass using deep learning (In Progress) 2. Feasibility of Artificial Intelligence in Predicting Postoperative Renal Function: Moving Toward a New Normal in Personalized Surgical Patient Care (In Progress)

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근골격계 영상의학과 X-ray, MRI 영상 데이터를 활용하여 딥러닝 프로젝트를 진행 및 1저자로 해외 학회 3편, 국내 학회 1편 발표 1. Application of Through-Plane Super-Resolution Shoulder MRI for the Diagnosis of SLAP Lesions (RSNA 2020) 2. Deep Radiomics-based Approach for the Diagnosis of Osteoporosis Using Hip Radiographs (RSNA 2020, KCR 2020) 3. Radiomics-based Approach for the Diagnosis of Osteoporosis Using Hip Radiographs (ECR 2020)

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신경계 영상의학과 Brain MRI 영상 데이터를 활용한 Radiomics 연구 진행 및 Radiomic analysis pipeline 개발, 공저자 해외 저널 1편 참여 1. Robust Performance of Deep Learning for Distinguishing Glioblastoma from Single Brain Metastasis Using Radiomic Features: Model Development and Validation (Scientific Reports)

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