정승우 연구원이 고려대 정보대학이 우수 논문을 제출한 수료연구생에게 수여하는 “우수논문상”을 수상하였습니다. 축하합니다!
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 OHBM 2024
Congratulations!!! Wonsik’s paper, titled “Enhanced Functional Connectivity Representation by Contrastive Learning for Brain Disease Diagnosis,” is accepted at OHBM 2024.
2 papers have been accepted to BCI 2024
Congratulations!!! 2 papers have been accepted to BCI 2024.
Accepted to ICASSP2024
Congratulations!!! Jiwon’s work on “Eigendecomposition-Based Spatial-Temporal Attention for Brain Cognitive States Identification,” has been accepted for publication in ICASSP2024.
Kwanseok awarded “JW Foundation Fundamental Scientist Scholarship.”
Congratulations!! Kwanseok Oh won the 4th JW Foundation Fundamental Scientist Scholarship. JW Foundation awards a scholarship of 24M won (about...
Accepted to Schizophrenia Bulletin
Congratulations!!! Da-Woon’s work (collaboration with Jeonbuk National University Hospital) on “Deep Learning-based Brain Age Prediction in Patients with Schizophrenia Spectrum...
Accepted to IEEE-TMI
Congratulations!!! Eunsong’s work on “A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis,” has been accepted for publication...
Accepted to IEEE-TMI
Congratulations!!! Wonsik’s work on “EAG-RS: A Novel Explainability-guided ROI Selection Framework for ASD Diagnosis via Inter-regional Relation Learning,” has been...