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Showing results 1 to 6 of 6

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
Learning Color Representations for Low-Light Image Enhancement

Kim, Bomi; Lee, Sunhyeok; Kim, Nahyun; Jang, Donggon; Kim, Dae-Shik, 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, pp.904 - 912, IEEE Computer Society, 2022-01-05

4
Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix

Jang, Donggon; Son, Sanhyeok; Kim, Dae-Shik, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022, pp.147 - 154, EEE/CVF, 2022-06-20

5
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

6
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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