Congratulations!!! Junghyo’s work on “Causal Manifold Transport for Identifiable Causal Generation in Diffusion Models” has been accepted for presentation at IJCAI 2026. Junghyo Sohn, Wootaek Jeong, Sujeong Song, Jee Seok Yoon, Heung-Il Suk, “Causal Manifold Transport for Identifiable Causal Generation in Diffusion Models,” IJCAI 2026 (Accepted)
Congratulations!!! Prof. Suk has been appointed as an Associate Editor of IEEE Transactions on Medical Imaging (2024-JCR-IF: 9.8), a leading international journal in the field of medical imaging. The journal is widely recognized for publishing high-impact research in areas such as biomedical imaging, AI-based image analysis, and medical data processing.
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!!! Ha-Eun and Seunghee’s papers have been accepted for presentation at ISBI 2026.
Congratulations!!! Sangmin’s work on “Why Go Heavy? Rethinking Visual Information Reduction in EEG-to-Image Alignment” has been accepted for presentation in BCI 2026.
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.
