Congratulations!!! Da-Woon’s work (collaboration with Jeonbuk National University Hospital) on “Deep Learning-based Brain Age Prediction in Patients with Schizophrenia Spectrum...
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-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...
3 Papers Accepted to JKAIA 2023
Congratulations. 3 papers by Eunsong, Eunjin, and Kwanseok are accepted for presentation at JKAIA2023.
석흥일 교수님, 식품의약품안전처장 표창
2023년 혁신의료기기 산업 발전에 대한 우수 공적자로 선정되어 식품의약품안전처장 표창을 수상하였다. Professor Heung-Il Suk received the “Award for Contribution to...
Accepted to Scientific Reports
Congratulations!!! Junghyo’s work on “Module of Axis-based Nexus Attention for Weakly Supervised Object Localization” has been accepted for publication at Scientific...
Accepted to IEEE-TPAMI
Congratulations!!! Seungwoo’s work on “Deep Efficient Continuous Manifold Learning for Time Series Modeling,” has been accepted for publication in IEEE-TPAMI.
Accepted to Journal of Cleaner Production
Congratulations!!! Do-Yeon’s work on “Spatiotemporal Graph Neural Networks for Predicting Mid-to-Long-Term PM2.5 Concentrations” has been accepted for publication in the...