Jee Seok Yoon

Orcid: 0000-0003-0721-504X

According to our database1, Jee Seok Yoon authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

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

Domain Generalization for Medical Image Analysis: A Survey.
CoRR, 2023

SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
A Plug-in Method for Representation Factorization in Connectionist Models.
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

Plug-in Factorization for Latent Representation Disentanglement.
CoRR, 2019

2018
Deep recurrent spatio-temporal neural network for motor imagery based BCI.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018


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