6 papers
HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment
Sangmin Jo, Wootaek Jeong, Da-Woon Heo +2
Recent progress in artificial intelligence has encouraged numerous attempts to understand and decode human visual system from brain signals. These prior works typically align neura…
Permutation-Equivariant 2D State Space Models: Theory and Canonical Architecture for Multivariate Time Series
Seungwoo Jeong, Heung-Il Suk
Multivariate time series (MTS) modeling often implicitly imposes an artificial ordering over variables, violating the inherent exchangeability found in many real-world systems wher…
MEASURE: Multi-scale Minimal Sufficient Representation Learning for Domain Generalization in Sleep Staging
Sangmin Jo, Jee Seok Yoon, Wootaek Jeong +2
Deep learning-based automatic sleep staging has significantly advanced in performance and plays a crucial role in the diagnosis of sleep disorders. However, those models often stru…
Domain Generalization for Medical Image Analysis: A Review
Jee Seok Yoon, Kwanseok Oh, Yooseung Shin +2
Medical image analysis (MedIA) has become an essential tool in medicine and healthcare, aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in deep…
IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation
Junyeong Maeng, Kwanseok Oh, Wonsik Jung +1
Brain age transformation aims to convert reference brain images into synthesized images that accurately reflect the age-specific features of a target age group. The primary objecti…
DyMix: Dynamic Frequency Mixup Scheduler based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease Identification
Yooseung Shin, Kwanseok Oh, Heung-Il Suk
Advances in deep learning (DL)-based models for brain image analysis have significantly enhanced the accuracy of Alzheimer's disease (AD) diagnosis, allowing for more timely interv…