Congratulations!!! Jee Seok’s paper, “Domain Generalization for Medical Image Analysis: A Review,” has been accepted for publication in the Proceedings of the IEEE.

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 연구자들이 유기적으로 관계를 맺고 학술적·기술적·산업적 정보 교환을 하는 동시에 한국 고유의 데이터를 축적하기 위하여 지난 2002년 설립되었습니다. 뇌기능매핑 분야 최고 권위의 상인 뇌기능매핑학회 학술상 본상은 KHBM 정회원으로서 탁월한 연구 업적을 보인 자로, 3년간의 주저자 연구 업적을 종합적으로 평가하여 매년 1인에게 수여하는 상입니다.

Congratulations!!! Yeajin received an “Excellent Poster Award” in the 2024 Korean Society for Human Brain Mapping (KHBM) Fall Workshop.

Congratulations!!! Wonsik received the “Outstanding Trainee Award” in the 2024 Korean Society for Human Brain Mapping (KHBM) Fall Workshop.

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.

Congratulations!!! Eunsong’s work on “Neurodevelopmental Imprints of Sociomarkers in Adolescent Brain Connectomes,” has been accepted for publication in Scientific Reports.

Congratulations!!! Eunjin’s work on “ADT2R: Adaptive Decision Transformer for Dynamic Treatment Regimes in Sepsis,” has been aaccepted for publication to IEEE-TNNLS.

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.

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.

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).