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ORCIDJee Seok Yoon
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2020 – today
- 2024
[j6]Jee Seok Yoon
, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk:
Domain Generalization for Medical Image Analysis: A Review. Proc. IEEE 112(10): 1583-1609 (2024)- 2023
- [j5]Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Kun Ho Lee, Heung-Il Suk:
Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning. NeuroImage 273: 120073 (2023) - [j4]Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk:
Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4843-4857 (2023) - [j3]Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk:
Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI. IEEE Trans. Neural Networks Learn. Syst. 34(2): 739-749 (2023) - [c2]Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li:
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation. IPMI 2023: 388-400 - [i7]Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk:
Domain Generalization for Medical Image Analysis: A Survey. CoRR abs/2310.08598 (2023) - 2022
- [j2]Jee Seok Yoon, Myung-Cheol Roh, Heung-Il Suk:
A Plug-in Method for Representation Factorization in Connectionist Models. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3792-3803 (2022) - [i6]Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk:
XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning. CoRR abs/2207.13223 (2022) - [i5]Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li:
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation. CoRR abs/2212.08228 (2022) - 2021
- [i4]Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk:
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model. CoRR abs/2108.09451 (2021) - 2020
- [i3]Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk:
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision. CoRR abs/2011.10381 (2020)
2010 – 2019
- 2019
- [j1]Bum-Chae Kim, Jee Seok Yoon, Jun-Sik Choi, Heung-Il Suk:
Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection. Neural Networks 115: 1-10 (2019) - [i2]Jee Seok Yoon, Wonjun Ko, Heung-Il Suk:
Plug-in Factorization for Latent Representation Disentanglement. CoRR abs/1905.11088 (2019) - [i1]Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk:
Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator. CoRR abs/1910.07747 (2019) - 2018
- [c1]Wonjun Ko, Jee Seok Yoon, Eunsong Kang, Eunji Jun, Jun-Sik Choi, Heung-Il Suk:
Deep recurrent spatio-temporal neural network for motor imagery based BCI. BCI 2018: 1-3
Coauthor Index
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