Congratulations!!! Wonjun’s paper, “Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition,” is accepted for presentation in ACPR 2021. W. Ko, E. Jeon, and H.-I. Suk, “Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition,” Proc. The 6th Asian Conference on Pattern Recognition (ACPR), 2021.
![[PhD/MS Thesis Defences]](https://milab.korea.ac.kr/wordpress/wp-content/uploads/2021/08/graduate-300x300.jpg "graduation cap diploma isolated on a white background")
Congratulations! Eunji (Ph.D. program), and Yurim and Jaein (M.S. program) have successfully defended their thesis. They will acquire, respectively, doctoral and master’s degrees in August of this year.
Congratulations!!! Eunjin’s paper, “Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI” is accepted for publication in IEEE-TNNLS.
![[2021 Junior Fellow Research Grant]](https://milab.korea.ac.kr/wordpress/wp-content/uploads/2021/07/ku_junior_rg-300x300.png "ku_junior_rg")
윤지석, 고원준 연구원이 “2021 Junior Fellow Research Grant”를 수상하였습니다. 축하합니다!
![[KU 연구장려장학금] Wisnu, 정원식 수상](https://milab.korea.ac.kr/wordpress/wp-content/uploads/2020/08/cropped-logo_right-1.png "main_logo"){kind=logo}
![[2021 한국인공지능학회 하계학술대회 최우수 논문상]](https://milab.korea.ac.kr/wordpress/wp-content/uploads/2021/07/2021_KAIA-300x300.png "2021_KAIA")
전은지, 정승우, 허다운 연구원이 한국인공지능학회 주관한 2021 하계학술대회에 제출한 논문이 “엘지이노텍 최우수논문상”을 수상하였습니다. 축하합니다!
Congratulations!!! Two papers by Jaein and Wonsik are accepted for presentation in MICCAI, 2021.
Congratulation!! A paper on leveraging population-based and personalized reference Intervals for liver and spleen volumes in healthy individuals and those with viral hepatitis has been accepted for publication in Radiology. D.W. Kim, J. Ha, S. Lee, J.H. Kwon, N.Y. Kim, Y. Sung, J.-S. Yoon, H.-I. Suk, Y. Lee, and B.-K. Kang, “Population-based and Personalized Reference Intervals...
Congratulations!!! Wisnu’s work of “ProtoBrainMaps: Prototypical Brain Maps for Alzheimer’s Disease Progression Modeling” is accepted for presentation in MIDL.
