Jee Seok Yoon

17 papers A* 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization.
IJCAI
Jee Seok Yoon, Junghyo Sohn, Wootaek Jeong, Heung-Il Suk
2025 J jnl
MEASURE: Multi-scale Minimal Sufficient Representation Learning for Domain Generalization in Sleep Staging.
CoRR
Sangmin Jo, Jee Seok Yoon, Wootaek Jeong, Kwanseok Oh, Heung-Il Suk
2024 J jnl
Domain Generalization for Medical Image Analysis: A Review.
Proc. IEEE
Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk
2023 J jnl
Domain Generalization for Medical Image Analysis: A Survey.
CoRR
Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk
2023 J jnl
Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning.
NeuroImage
Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Kun Ho Lee, Heung-Il Suk
2023 J jnl
Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model.
IEEE Trans. Pattern Anal. Mach. Intell.
Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2023 J jnl
Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI.
IEEE Trans. Neural Networks Learn. Syst.
Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk
2023 — conf
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation.
IPMI
Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li
2022 J jnl
A Plug-in Method for Representation Factorization in Connectionist Models.
IEEE Trans. Neural Networks Learn. Syst.
Jee Seok Yoon, Myung-Cheol Roh, Heung-Il Suk
2022 J jnl
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation.
CoRR
Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li
2022 J jnl
XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning.
CoRR
Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2021 J jnl
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model.
CoRR
Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2020 J jnl
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision.
CoRR
Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2019 J jnl
Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection.
Neural Networks
Bum-Chae Kim, Jee Seok Yoon, Jun-Sik Choi, Heung-Il Suk
2019 J jnl
Plug-in Factorization for Latent Representation Disentanglement.
CoRR
Jee Seok Yoon, Wonjun Ko, Heung-Il Suk
2019 J jnl
Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator.
CoRR
Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk
2018 — conf
Deep recurrent spatio-temporal neural network for motor imagery based BCI.
BCI
Wonjun Ko, Jee Seok Yoon, Eunsong Kang, Eunji Jun, Jun-Sik Choi, Heung-Il Suk