Congratulations!!! Wonsik received the “Outstanding Trainee Award” in the 2024 Korean Society for Human Brain Mapping (KHBM) Fall Workshop.
Category: <span>Lab News</span>
Competition Achievement in MICCAI Grand Challenge
Congratulations!!! Kwanseok achieved excellent results in the TopCow2024 Grand Challenge held at MICCAI. His team ranked in multiple tasks as follows: Detection (CT Angio): 2nd place Detection (MR Angio): 2nd place Segmentation (CT Angio): 3rd place Segmentation (MR Angio): 3rd place He will be awarded official certificates and prizes in recognition of their outstanding performance.
Accepted to Scientific Reports
Congratulations!!! Eunsong’s work on “Neurodevelopmental Imprints of Sociomarkers in Adolescent Brain Connectomes,” has been accepted for publication in Scientific Reports.
Accepted to IEEE-TNNLS
Congratulations!!! Eunjin’s work on “ADT2R: Adaptive Decision Transformer for Dynamic Treatment Regimes in Sepsis,” has been aaccepted for publication to IEEE-TNNLS.
Selected as Best Paper of ICPRAI2024
Congratulations!!! Wooyeol’s paper “Prototype-Guided Contrastive Knowledge Graph Representation Learning for Diagnosis Prediction” presented at ICPRAI2024 is selected as the 2nd best paper award.
Accepted to MICCAI 2024
Congratulations!!! Ahyoung(undergraduate intern) and Da-Woon’s co-wok on “BrainWaveNet: Wavelet-based Transformer for Autism Spectrum Disorder Diagnosis” has been accepted to present at MICCAI2024.
Accepted to IEEE-TCYB
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).
[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)