Congratulations!!! Sangmin’s work on “HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment” has been accepted for presentation at AAAI, 2026. Sangmin Jo, Wootaek Jeong, Da-Woon Heo, Yoohwan Hwang, and Heung-Il Suk, “HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment,” AAAI, 2026.
Congratulations! Yeajin’s work on “Explainable Normative Modeling for Brain Disorder Identification in Resting-State fMRI” has been accepted for publication to IEEE-TMI.
Congratulations!!! Kwanseok’s work on “FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation,” has been aaccepted for publication to IEEE-TNNLS.
Congratulations!!! Junyeong’s work on “IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation,” has been accepted for publication in Artificial Intelligence in Medicine. Junyeong Maeng, Kwanseok Oh, Wonsik Jung, and Heung-Il Suk, “IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation,” Artificial Intelligence in Medicine, Accepted 2025. (IF: 6.1, MEDICAL INFORMATICS 4/44)
Congratulations! Kwanseok’s work on “A Quantitatively Interpretable Model for Alzheimer’s Disease Prediction Using Deep Counterfactuals” has been accepted for publication in NeuroImage. K. Oh, D.-W. Heo, A. Mulyadi, W. Jung, E. Kang, K. Lee, and H.-I. Suk, “A Quantitatively Interpretable Model for Alzheimer’s Disease Prediction Using Deep Counterfactuals,” NeuroImage, Accepted 2025. (2023-JCR-IF: 4.7, Neuroimaging 1/15)
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!!! 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! 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).
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)
