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2020 – today
- 2024
[j1]Junmo Kim
, Keun-Soo Heo, Dong-Hee Shin, Hyeonyeong Nam, Dong-Ok Won, Ji-Hoon Jeong, Tae-Eui Kam:
A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio-spectral-temporal EEG signal decoding. Expert Syst. Appl. 251: 123975 (2024)- [c4]Jun-Mo Kim, Soyeon Bak, Hyeonyeong Nam, WooHyeok Choi, Tae-Eui Kam:
Meta-Learning-based Cross-Dataset Motor Imagery Brain-Computer Interface. BCI 2024: 1-4 - 2023
- [c3]Hyeonyeong Nam, Jun-Mo Kim, Tae-Eui Kam:
Feature Selection Based on Layer-Wise Relevance Propagation for EEG-based MI classification. BCI 2023: 1-3 - [c2]Jun-Mo Kim, Soyeon Bak, Hyeonyeong Nam, WooHyeok Choi, Da-Hyun Kim, Tae-Eui Kam:
SAT-Net: SincNet-Based Attentive Temporal Convolutional Network for Motor Imagery Classification. SMC 2023: 4452-4457 - [i1]Bogyeong Kang, Hyeonyeong Nam, Ji-Wung Han, Keun-Soo Heo, Tae-Eui Kam:
Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation. CoRR abs/2303.14998 (2023) - 2022
- [c1]Bogyeong Kang, Hyeonyeong Nam, Ji-Wung Han, Keun-Soo Heo, Tae-Eui Kam:
Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation. BrainLes@MICCAI (2) 2022: 100-108
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