Congratulations!!! Do-Yeon’s paper on “SIGMAformer: a spatiotemporal Gaussian mixture correlation transformer for global weather forecasting,” has been accepted for publication in npj Climate and Atmospheric Science. Do-Yeon Kim and Heung-Il Suk, “SIGMAformer: a Spatiotemporal Gaussian Mixture Correlation Transformer for Global Weather Forecasting,” npj Climate and Atmospheric Science, 2026 (Accepted)
Congratulations!!! Kwanseok and Jieun’s work on “Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging” has been accepted for publication at Pattern Recognition. Kwanseok Oh, Jieun Lee, Da-Woon Heo, Dinggang Shen, and Heung-Il Suk, “Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging,” Pattern Recognition, 2026 (2024-JCR-IF: 7.6, ENGINEERING,...
Congratulations!!! Wootaek and Junghyo’s paper on “Deconstructing Guidance: A Semantic Hierarchy for Precise Diffusion Model Editing” has been accepted for presentation at ICLR 2026. Wootaek Jeong*, Junghyo Sohn*, Jeeseok Yoon, and Heung-Il Suk, “Deconstructing Guidance: A Semantic Hierarchy for Precise Diffusion Model Editing,” ICLR, 2026. (accepted) (*Equal contribution)
Congratulations!!! Ah-Young and Da-Woon’s work on “Complex Wavelet-Based Transformer for Neurodevelopmental Disorder Diagnosis via Direct Modeling of Real and Imaginary Components” has been accepted for publication to Medical Image Analysis.
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.
