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Ewha Graduate School AI Convergence Research Team Wins Minister of Science and ICT Award

  • Date2025.01.16
  • 26330

Developed the world’s first unsupervised learning-based algorithm

Conducted innovative research aimed at reducing radiation exposure and enhancing diagnostic accuracy

(왼쪽부터) 전선영, 이유미, 김지원, 남연정 씨

 (From left) Jeon Seon-young, Lee Yumi, Kim Ji-won, Nam Yeon-jung


The research team of the AI Convergence at Ewha Graduate School (Advisor: Professor Choi Jang-hwan) won the grand prize at the final presentation of the 2024 Engineering Research Team Program for Female Graduate Students Advanced Course, organized by the Korea Foundation for Women In Science, Engineering and Technology (WISET) on December 6, 2024.


This program aims to nurture female talent in science and engineering, strengthening the research capabilities and leadership, supporting their entry into the field. The research team, consisting of PhD student Jeon Seon-young (Team Leader) and master’s students Lee Yumi, Kim Ji-won, and Nam Yeon-jung, was selected for the project titled “Deep Learning-Based Noise Removal Framework Utilizing Dynamic Context Recognition for Low-Dose Fluoroscopy Imaging” and worked on developing technology to restore clear and sharp images from low-dose X-ray images by combining medical imaging and artificial intelligence. The research was carried out from April and lasted for seven months.


Low-dose fluoroscopy technology is notable for its ability to capture images with a small amount of radiation while providing real-time visuals. However, this comes with the problem of lower resolution, reduced quality, and increased noise. To address this, the research team designed a restoration technology using deep learning, specifically developing a model that automatically analyzes the motion and surrounding environment of the image, removes motion artifacts and noise, and clearly visualizes changes and movements in patients. It was the world’s first for the research team to develop the unsupervised learning-based algorithm in the field of low-dose fluoroscopy. So the team was awarded the Minister of Science and ICT’s Grand Prize.


Jeon Seon-young stated, “I participated in the 'Engineering Research Team Program for Female Graduate Students' because I saw it as a great opportunity to grow my capabilities as a researcher and expand the social value of my research. Low-dose fluoroscopy is a highly challenging topic in the medical imaging field, and I take great pride in the meaningful results we have achieved, accelerating the development of related technologies. Above all, this success would not have been possible without the unwavering support and guidance from our professor, and the dedication from our team members.”