Selected Publications: CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging (MICCAI 2024); Convolutional Implicit Neural Representation of pathology whole-slide images (MICCAI 2024); W-DRAG: A joint framework of WGAN with data random augmentation optimized for generative networks for bone marrow edema detection in dual energy CT (Computerized Medical Imaging and Graphics, 2024); Prediction of bone mineral density in CT using deep learning with explainability (Frontiers in Physiology, 2023); Diagnostic performance for detecting bone marrow edema of the hip on dual-energy CT: Deep learning model vs. musculoskeletal physicians and radiologists (European Journal of Radiology, 2022).
Research Experience
Full-Time Research Fellow, AMI LAB, 2023 - present; Insurance Product and System Manager & Broker, M Financial Service, 2018 - 2020.
Education
2021 - 2023: M.S. in Information Convergence Engineering, Pusan National University, advised by Prof. MinWoo Kim; 2010 - 2017: B.S. in Industrial and Information Systems Engineering, Jeonbuk National University.
Background
Research Interests: Medical Image Analysis, Image Reconstruction & Enhancement, Multi-Modal Data Handling, Task-based Imaging and Assessment, Multi-Task Learning, Model Robustness, Explainable AI. Background: Currently a Full-Time Research Fellow at the AI-based Medical Imaging Lab, Pusan National University, focusing on the application of artificial intelligence in medical imaging, especially improving the generalization of models in various medical image analysis tasks.
Miscellany
Hobbies: Playing tennis, running, watching Netflix series (except horror) during free time.