Congratulations!!! Eunsong and Jieun’s papers are early accepted for presentation at MICCAI 2022.Both of their works are among the top...
Welcome to the Machine Intelligence Lab. (MILab)
The Machine Intelligence Laboratory is focusing on researches on developing machine learning and deep learning methods to investigate and analyze patterns inherent in various forms of data with their application to medical/computer vision, brain-computer interfaces, healthcare, and neuroinformatics.
Lab’s latest news
Accepted to IEEE-JBHI
Congratulations. Yurim and Eunji’s work on “Multi-view Integrative Attention-based Deep Representation Learning for Irregular Clinical Time-series Data” is accepted for publication...
Accepted to IEEE-TMI
Congratulations!!! Wonjun’s work on “A Deep Generative–Discriminative Learning for Multi-modal Representation in Imaging Genetics,” is accepted for publication in IEEE-TMI.
Accepted to Korean Journal of Radiology
Congratulations!!! A paper on Deep Learning-Based Assessment of Functional Liver Capacity Using Gadoxetic Acid-Enhanced Hepatobiliary Phase Magnetic Resonance Imaging has...
Accepted to Scientific Reports
Congratulations!!! Wonjun’s paper, “Semi-Supervised Generative and Discriminative Adversarial Learning for Motor Imagery-based Brain-Computer Interface” is accepted for publication in Scientific...
Accepted to Diagnostics
Congratulation!! A paper on accuracy and efficiency of right-lobe graft weight estimation using deep learning-assisted CT volumetry for living donor...
![[KU Achievement Award] 고원준, 정원식 수상](https://milab.korea.ac.kr/wordpress/wp-content/uploads/2022/03/Ku_achievement-580x366.jpg "Ku_achievement")
[KU Achievement Award] 고원준, 정원식 수상
Congratulations!!! Wonjun and Wonsik received the ‘KU Achievement Award.’
Accepted to ICASSP2022
Congratulations!!! Jaeun’s paper, “Enhancing Contextual Encoding with Stage-Confusion and Stage-Transition Estimation for EEG-Based Sleep Staging,” is accepted for presentation at...