Congratulations! Wonjun’s work on EEG-Oriented Self-Supervised Learning with Triple Information Pathways Network has been accepted for publication in IEEE-TCYB. Wonjun Ko, Seungwoo Jeong, Sa-Kwang Song, and Heung-Il Suk, “EEG-Oriented Self-Supervised Learning with Triple Information Pathways Network,” IEEE Transactions on Cybernetics (Accepted).
Year: <span>2024</span>
[2024 Junior Fellow Research Grant]
정승우, 윤지석, 오관석, 정원식 연구원이 “2024 Junior Fellow Research Grant”를 수상하였습니다. 축하합니다!
Accepted to IEEE-TNNLS
Congratulations!!! Seungwoo and Wonsik’s work on “Deep Geometric Learning with Monotonicity Constraints for Alzheimer’s Disease Progression,” has been accepted for publication in IEEE-TNNLS. Seungwoo Jeong*, Wonsik Jung*, Junghyo Sohn, and Heung-Il Suk, “Deep Geometric Learning with Monotonicity Constraints for Alzheimer’s Disease Progression,” IEEE Transactions on Neural Networks and Learning Systems (*: equally contributed, Accepted)
Accepted to Frontiers in Aging Neuroscience
Congratulations!!! Wonsik’s paper, “Deep learning model for individualized trajectory prediction of clinical outcomes in mild cognitive impairment,” has been accepted for publication in Frontiers in Aging Neuroscience (JCR-IF: 4.8). W. Jung*, S.E. Kim*, J Kim, H. Jang, C.J. Park, H.J. Kim, D.L. Na, S.W. Seo†, and H.-I. Suk†, “Deep learning model for individualized trajectory prediction of clinical outcomes in mild cognitive...
2 papers have been accepted to KINGPC 2024
Congratulations!!! 2 papers have been accepted to KINGPC 2024.
Accepted to ICPRAI 2024
Congratulations!!! Wooyeol’s work on “Prototype-Guided Contrastive Knowledge Graph Representation Learning for Diagnosis Prediction,” has been accepted for presentation at ICPRAI 2024.
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.