Congratulations!!! Jee Seok’s paper, “Domain Generalization for Medical Image Analysis: A Review,” has been accepted for publication in the Proceedings of the IEEE.
Author: milab
[KHBM 2024] Academic Award
Congratulations! Professor Heung-Il Suk received an “Academic Award” at the 2024 Korean Society for Human Brain Mapping (KHBM) Fall Workshop. 석흥일 교수님이 2024년 대한뇌기능매핑학회(KHBM) 추계학술대회에서 ‘학술상’ 본상을 수상했습니다. 대한뇌기능매핑학회(KHBM)는 최첨단 영상 도구(EEG/MEG, SPECT, PET, fMRI 등)들을 통해 인간의 여러 기능이 뇌에서 어떻게 발현되는지를 연구하는 국내 뇌기능 관련 대표 학회로 뇌기능 매핑 연구에 관심을 가진 국내...
[KHBM 2024] Excellent Poster Award
Congratulations!!! Yeajin received an “Excellent Poster Award” in the 2024 Korean Society for Human Brain Mapping (KHBM) Fall Workshop.
[KHBM 2024] Outstanding Trainee Award
Congratulations!!! Wonsik received the “Outstanding Trainee Award” in the 2024 Korean Society for Human Brain Mapping (KHBM) Fall Workshop.
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).