SNU Department of Electrical and Computer Engineering Undergraduate Yoon Jaeyeon Publishes Research on a Journal Scoring Top 5% in Neuroimaging

- “Magna Cum Laude” Award Recipient at an International Colloquium in the Field of MRI
- Starts Business Venture with His Technology to Reduce MRI Scan Time by 1/4

   
▲ SNU Department of Electrical and Computer Engineering Undergraduate Yoon Jaeyeon (Left), An Abstract of Graphics in the Paper (Right)

 
SNU College of Engineering (Dean Cha Kook-heon) announces on 28^th that Yoon Jaeyeon, an undergraduate studying at the Department of Electrical and Computer Engineering, has published his research on NeuroImage, a journal within top 5% in the field of neuroimaging. The journal is booked to be posted in October.
 
Yoon has looked into neuroimaging that can quantify the magnetization of brain material through deep neural network since his start of intern in junior year at the Laboratory for Imaging Science and Technology (LIST) under Associate Professor Lee Jongho (B).
 
He has furthered this research by conducting an international joint project with Stanford U and Harvard U to finally produce this research that has been honorable selected to be published on the NeuroImage. The findings of the research allow the quantitative imaging of the volume of cerebral hemorrhage.
 
Yoon’s research has received the Magna Cum Laude award at the Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM), the largest society in the field of MRI, hosted at Paris, France from 16^th to 21^st of last June. He has also delivered a verbal presentation to the 6000 participants at the meeting.
 
Meanwhile, Yoon, with other Ph.D. students of LIST, has also recently founded the “AIRS(www.airsmed.com),” which is a venture business that develops neuroimaging technology based on deep neural network for quick and accurate medical diagnosis.
 
One of many areas that AIRS takes a keen interest in is to offset the limitation of long MRI scan time. Using the deep neural network, the scan time can be enhanced to be four times faster than the conventional while maintaining the same resolution as the original scan method. The AIRS is planning to dive into developing technologies for various medical imaging techniques (X-ray, CT, PET, etc.) to support the diagnosis procedures of doctors.
 

▲ AIRS Logo


▲ Yoon Presenting at the Annual Meeting of ISMRM