Congratulations!!! Hannah’s work on “Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation” is accepted for presentation at MICCAI2025. Hannah Yun, Junyeong Maeng, Eunsong Kang, Heung-Il Suk, “Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation,” MICCAI, 2025 (Accepted).
Congratulations!!! Jee Seok’s work on “ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization” has been accepted to present at IJCAI2025 (Acceptance rate: 19.3%). Jee Seok Yoon, Junghyo Sohn, Wootaek Jeong, Heung-Il Suk, “ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization,” International Joint Conference on Artificial Intelligence (IJCAI), 2025. (Accepted)
Congratulations! Jaehyun’s work on “Parameter-Efficient Fine-Tuning Adapts EEG Foundation Models to Downstream Tasks Effectively” has been accepted to present at OHBM2025. Jaehyun Jeon, Seungwoo Jeong, Heung-Il Suk, “Parameter-Efficient Fine-Tuning Adapts EEG Foundation Models to Downstream Tasks Effectively,” OHBM, 2025.
Congratulations!!! Seungwoo’s work on “Energy-Guided Brain Topology Mamba for EEG-based BCI,” has been accepted for presentation in BCI 2025.
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!!! 2 papers have been accepted to KINGPC 2024.
Congratulations!!! Wooyeol’s work on “Prototype-Guided Contrastive Knowledge Graph Representation Learning for Diagnosis Prediction,” has been accepted for presentation at ICPRAI 2024.
Congratulations!!! Wonsik’s paper, titled “Enhanced Functional Connectivity Representation by Contrastive Learning for Brain Disease Diagnosis,” is accepted at OHBM 2024.
Congratulations!!! 2 papers have been accepted to BCI 2024.
Congratulations!!! Jiwon’s work on “Eigendecomposition-Based Spatial-Temporal Attention for Brain Cognitive States Identification,” has been accepted for publication in ICASSP2024.
