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1
20 and 40-Hz Flickering-Light Stimulation Induces Changes in Functional Connectivity of Memory-Related Areas

Lee, Jeongwon; Jang, Donggon; Kunanbayev, Kassymzhomart; Kim, Dae-Shik, Conference on Cognitive Computational Neuroscience, CCN 2022, CCN, 2022-08-26

2
Accurate Hippocampus Segmentation Based on Self-supervised Learning with Fewer Labeled Data

Kunanbayev, Kassymzhomart; Jang, Donggon; Jeong, Woojin; Kim, Nahyun; Kim, Dae-Shik, 25th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2022 workshop, MICCAI, 2022-09-19

3
ROI-to-ROI fMRI Brain Functional Connectivity Analysis of Flickering Light Stimulation for Entraining Gamma Waves

Kunanbayev, Kassymzhomart; Lee, Jeongwon; Kim, Dae-Shik, Conference on Cognitive Computational Neuroscience 2023, CCN, 2023-08-24

4
Towards Precise and Robust Hippocampus Segmentation using Self-Supervised Contrastive Learning

Kunanbayev, Kassymzhomart; Jang, Donggon; Lee, Jeongwon; Kim, Dae-Shik, Conference on Cognitive Computational Neuroscience, CCN 2022, CCN, 2022-08-26

5
Variance-Invariance-Covariance Regularization with Local Self-Supervised Learning Improves Hippocampus Segmentation with Fewer Labels

Kunanbayev, Kassymzhomart; Jang, Donggon; Lee, Jeongwon; Kim, Dae-Shik, Conference on Cognitive Computational Neuroscience, CCN 2022, CCN, 2022-08-26

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