Congratulations!!! Jiyeon and Wonjun’s paper, titled “A Unified Framework for Personalized Regions Selection and Functional Relation Modeling for Early MCI...
Welcome to the Machine Intelligence Lab
The Machine Intelligence Lab (MILAB) at Korea University is directed by Professor Heung-Il Suk.
We are tackling fundamentally open problems in developing biologically plausible machine/deep learning algorithms for various applications including medical/computer vision, brain-computer interfaces, healthcare, and neuroinformatics.
Research Areas
Machine/Deep Learning
Developing novel deep learning methods that can integrate multiple neuroimaging modalities
AI in Neuroinformatics
Developing machine-learning algorithms that can estimate the underlying functional patterns from fMRI images and utilize the estimated information for disease diagnosis/prognosis
AI in Medical/Computer Vision
Developing various applications for medical/computer vision tasks, where the objective is to achieve state-of-the-art performance with human-level interpretability in mind
AI in Brain-Computer Interface
Developing BCI-oriented but paradigm-independent algorithms that intelligently remove artifacts/noise and learn a user-specific brain signal patterns by utilizing their resting-state signals
AI in Healthcare
Developing deep architectures for disease phenotying, future patients’ state prediction, missing value imputation, and uncertainty quantification from Electronic Health Records (EHR) for better understanding and investigation of the underpinning phenomena in healthcare observations
Lab’s latest news
Graduate students position opening
Functional MRI – and Machine/Deep-Learning-based Brain Disorder/Disease Diagnosis and Prognosis We seek a couple of highly motivated graduate students on...
[KU Graduate Student Achievement Award] 고원준, 전은지 수상
고원준, 전은지 연구원이 고려대 최우수대학원생에게 수여하는 “KU Graduate Student Achievement Award”를 수상하였습니다.“KU Graduate Student Achievement Award” 는 본교 대학원생의 학문적, 사회적 업적을...
Journal Publication / Lab News
Accepted to IEEE Computational Intelligence Magazine
Congratulations!!! Wonjun’s work on “Multi-Scale Neural Network for EEG Representation Learning in BCI” is accepted to IEEE Computational Intelligence Magazine...