Sihyun Lee
Integrated M.S. - Ph.D Student, GIST AI Graduate School
Gwangju Institute of Science and Technology (GIST)
AI Graduate School
Research Interests
- Image enhancement
- Anomaly Detection
- Image Processing
- Segmentation
- Calcium imaging analysis
Research Topics
- Image Enhancement for Microscopy and Medical Image
- Cell Segmentation using Deep Learning
- Calcium Signal Analysis
- 3D Reconstruction and Segmentation for Ultrasound Image
- Object Detection for Clinical Application
Publications
Journal & Paper
- [1] Machine Learning Based Model Development and Optimization for Predicting Radiation, Sihyun Lee, Journal of Radiation Industry, 2023.
Conference
- [1] Data Augmentation for Cardiac PET/MRI Fusion Images Using AutoEncoder-Based Reconstruction, Sihyun Lee, Brain & Brain PET, 2025, Seoul Korea
- [2] Autonomous Radiation Source Detection Approach for Mobile Robots Using Reinforcement Learning, Sihyun Lee, Jiyun Kim, ISORD 12, 2024, Orlando USA
- [3] Strategies for Radiation Dose Rate Prediction in Emergency Scenarios, Sihyun Lee, ISORD 12, 2024, Orlando USA
- [4] One-Class SVM Based Anomaly Detection for LSTM-Based Radiation Prediction, Sihyun Lee, ISORD 11, 2023, Seoul Korea
Education
- Integrated M.S. - Ph.D in GIST AI Graduate School
- B.S. in Electronic Engineering(Intelligence of IoT), Chosun University, 2018 - 2024
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