5 citations · 14 across the 7 of their papers we have counts for
7 papers
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation
Kwanseok Oh, Eunjin Jeon, Da-Woon Heo +2
Single-source domain generalization (SDG) in medical image segmentation (MIS) aims to generalize a model using data from only one source domain to segment data from an unseen targe…
EAG-RS: A Novel Explainability-guided ROI-Selection Framework for ASD Diagnosis via Inter-regional Relation Learning
Wonsik Jung, Eunjin Jeon, Eunsong Kang +1
Deep learning models based on resting-state functional magnetic resonance imaging (rs-fMRI) have been widely used to diagnose brain diseases, particularly autism spectrum disorder…
TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging
Jauen Phyo, Wonjun Ko, Eunjin Jeon +1
Sleep staging is essential for sleep assessment and plays a vital role as a health indicator. Many recent studies have devised various machine learning as well as deep learning arc…
Fine-Grained Attention for Weakly Supervised Object Localization
Junghyo Sohn, Eunjin Jeon, Wonsik Jung +2
Although recent advances in deep learning accelerated an improvement in a weakly supervised object localization (WSOL) task, there are still challenges to identify the entire body…
A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs
Wonjun Ko, Eunjin Jeon, Heung-Il Suk
In this work, we formulate the problem of estimating and selecting task-relevant temporal signal segments from a single EEG trial in the form of a Markov decision process and propo…
Multi-Scale Neural network for EEG Representation Learning in BCI
Wonjun Ko, Eunjin Jeon, Seungwoo Jeong +1
Recent advances in deep learning have had a methodological and practical impact on brain-computer interface research. Among the various deep network architectures, convolutional ne…