Jee Seok Yoon
Orcid: 0000-0003-0721-504X
According to our database1,
Jee Seok Yoon
authored at least 12 papers
between 2018 and 2023.
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Bibliography
2023
Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning.
NeuroImage, June, 2023
Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI.
IEEE Trans. Neural Networks Learn. Syst., February, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning.
CoRR, 2022
2020
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision.
CoRR, 2020
2019
Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection.
Neural Networks, 2019
Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator.
CoRR, 2019
2018
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018