Congratulations!!! Jiwon’s work on “Eigendecomposition-Based Spatial-Temporal Attention for Brain Cognitive States Identification,” has been accepted for publication in ICASSP2024.
Year: <span>2023</span>
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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 $22,000) to Ph.D. students with the potential to be future leaders in the field of fundamental science.
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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 Disorders,” has been accepted for publication in Schizophrenia Bulletin.
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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 in IEEE-TMI.
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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 accepted for publication in IEEE-TMI.
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3 Papers Accepted to JKAIA 2023
Congratulations. 3 papers by Eunsong, Eunjin, and Kwanseok are accepted for presentation at JKAIA2023.
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석흥일 교수님, 식약처장 표창 수상
2023년 혁신의료기기 산업 발전에 대한 우수 공적자로 선정되어 식품의약품안전처장 표창을 수상하였다. Professor Heung-Il Suk received the “Award for Contribution to the Development of the Innovative Medical Device Industry” from the Ministry of Food and Drug Safety.
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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 Reports.
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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.
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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 Journal of Cleaner Production (JCR-IF: 11.1).