MCNet: An efficient CNN architecture for robust automatic modulation classification T Huynh-The, CH Hua, QV Pham, DS Kim IEEE Communications Letters 24 (4), 811-815, 2020 | 166 | 2020 |
Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images MA Al-Antari, CH Hua, J Bang, S Lee Applied Intelligence 51 (5), 2890-2907, 2021 | 127 | 2021 |
Encoding pose features to images with data augmentation for 3-D action recognition T Huynh-The, CH Hua, DS Kim IEEE Transactions on Industrial Informatics 16 (5), 3100-3111, 2019 | 76 | 2019 |
Image representation of pose-transition feature for 3D skeleton-based action recognition T Huynh-The, CH Hua, TT Ngo, DS Kim Information Sciences 513, 112-126, 2020 | 67 | 2020 |
Selective bit embedding scheme for robust blind color image watermarking T Huynh-The, CH Hua, NA Tu, T Hur, J Bang, D Kim, MB Amin, BH Kang, ... Information Sciences 426, 1-18, 2018 | 64 | 2018 |
Accurate LPI radar waveform recognition with CWD-TFA for deep convolutional network T Huynh-The, VS Doan, CH Hua, QV Pham, TV Nguyen, DS Kim IEEE Wireless Communications Letters 10 (8), 1638-1642, 2021 | 58 | 2021 |
Convolutional network with twofold feature augmentation for diabetic retinopathy recognition from multi-modal images CH Hua, K Kim, T Huynh-The, JI You, SY Yu, T Le-Tien, SH Bae, S Lee IEEE Journal of Biomedical and Health Informatics 25 (7), 2686-2697, 2020 | 57 | 2020 |
Physical activity recognition with statistical-deep fusion model using multiple sensory data for smart health T Huynh-The, CH Hua, NA Tu, DS Kim IEEE Internet of Things Journal 8 (3), 1533-1543, 2020 | 47 | 2020 |
Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification CH Hua, T Huynh-The, K Kim, SY Yu, T Le-Tien, GH Park, J Bang, ... International Journal of Medical Informatics 132, 103926, 2019 | 46 | 2019 |
Learning constellation map with deep CNN for accurate modulation recognition VS Doan, T Huynh-The, CH Hua, QV Pham, DS Kim GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 45 | 2020 |
Learning 3D spatiotemporal gait feature by convolutional network for person identification T Huynh-The, CH Hua, NA Tu, DS Kim Neurocomputing 397, 192-202, 2020 | 38 | 2020 |
Hierarchical topic modeling with pose-transition feature for action recognition using 3D skeleton data T Huynh-The, CH Hua, NA Tu, T Hur, J Bang, D Kim, MB Amin, BH Kang, ... Information Sciences 444, 20-35, 2018 | 32 | 2018 |
Exploiting a low-cost CNN with skip connection for robust automatic modulation classification T Huynh-The, CH Hua, JW Kim, SH Kim, DS Kim 2020 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2020 | 27 | 2020 |
Cross-attentional bracket-shaped convolutional network for semantic image segmentation CH Hua, T Huynh-The, SH Bae, S Lee Information Sciences 539, 277-294, 2020 | 26 | 2020 |
Retinal vessel segmentation using round-wise features aggregation on bracket-shaped convolutional neural networks CH Hua, T Huynh-The, S Lee 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 24 | 2019 |
Convolutional networks with bracket-style decoder for semantic scene segmentation CH Hua, T Huynh-The, S Lee 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 22 | 2018 |
Application and potential of artificial intelligence in heart failure: past, present, and future M Yoon, JJ Park, T Hur, CH Hua, M Hussain, S Lee, DJ Choi International journal of heart failure 6 (1), 11, 2024 | 16 | 2024 |
Accurate deep CNN-based waveform recognition for intelligent radar systems T Huynh-The, CH Hua, VS Doan, QV Pham, DS Kim IEEE Communications Letters 25 (9), 2938-2942, 2021 | 13 | 2021 |
Convolutional network with densely backward attention for facial expression recognition CH Hua, T Huynh-The, H Seo, S Lee 2020 14th International Conference on Ubiquitous Information Management and …, 2020 | 13 | 2020 |
Learning action images using deep convolutional neural networks for 3D action recognition T Huynh-The, CH Hua, DS Kim 2019 IEEE Sensors Applications Symposium (SAS), 1-6, 2019 | 12 | 2019 |