Jee Seok Yoon

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 14

Top Topics

Diffusion Model

Nodule Detection

Image Generation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk
Domain Generalization for Medical Image Analysis: A Survey. CoRR (2023)
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) (2023)
Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation. IPMI (2023)
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 (2023)
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) (2023)
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) (2022)
Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation. CoRR (2022)
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 (2022)
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 (2021)
Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision. CoRR (2020)
Jee Seok Yoon, Wonjun Ko, Heung-Il Suk
Plug-in Factorization for Latent Representation Disentanglement. CoRR (2019)
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 (2019)
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 (2019)
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)