Congratulations!!! Wonjun and Eunjin’s review paper, “A Survey on Deep Learning-based Short/Zero-calibration Approaches for EEG-based Brain-Computer Interfaces,” has been accepted...
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.
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
Functional MRI – and Machine/Deep-Learning-based Brain Disorder/Disease Diagnosis and Prognosis We seek a couple of highly motivated graduate students on...