Deep learning in remote sensing applications: A meta-analysis and review L Ma, Y Liu, X Zhang, Y Ye, G Yin, B Johnson ISPRS Journal of Photogrammetry and Remote Sensing 152, 166-177, 2019 | 1780 | 2019 |
A general framework for image fusion based on multi-scale transform and sparse representation Y Liu, S Liu, Z Wang Information Fusion 24, 147-164, 2015 | 1271 | 2015 |
Multi-focus image fusion with a deep convolutional neural network Y Liu, X Chen, H Peng, Z Wang Information Fusion 36, 191-207, 2017 | 1133 | 2017 |
IFCNN: A general image fusion framework based on convolutional neural network Y Zhang, Y Liu, P Sun, H Yan, X Zhao, L Zhang Information Fusion 54, 99-118, 2020 | 859 | 2020 |
Image fusion with convolutional sparse representation Y Liu, X Chen, RK Ward, ZJ Wang IEEE Signal Processing Letters 23 (12), 1882-1886, 2016 | 837 | 2016 |
Deep learning for pixel-level image fusion: Recent advances and future prospects Y Liu, X Chen, Z Wang, ZJ Wang, RK Ward, X Wang Information fusion 42, 158-173, 2018 | 654 | 2018 |
Medical Image Fusion With Parameter-Adaptive Pulse Coupled Neural Network in Nonsubsampled Shearlet Transform Domain M Yin, X Liu, Y Liu, X Chen IEEE Transactions on Instrumentation and Measurement 68 (1), 49-64, 2019 | 517 | 2019 |
Multi-focus image fusion with dense SIFT Y Liu, S Liu, Z Wang Information Fusion 23, 139-155, 2015 | 450 | 2015 |
A medical image fusion method based on convolutional neural networks Y Liu, X Chen, J Cheng, H Peng 2017 20th international conference on information fusion (Fusion), 1-7, 2017 | 382 | 2017 |
Infrared and visible image fusion with convolutional neural networks Y Liu, X Chen, J Cheng, H Peng, Z Wang International Journal of Wavelets, Multiresolution and Information …, 2018 | 365 | 2018 |
Simultaneous image fusion and denoising with adaptive sparse representation Y Liu, Z Wang IET Image Processing 9 (5), 347-357, 2015 | 346 | 2015 |
EEG-based emotion recognition via channel-wise attention and self attention W Tao, C Li, R Song, J Cheng, Y Liu, F Wan, X Chen IEEE Transactions on Affective Computing 14 (1), 382-393, 2023 | 295 | 2023 |
Medical Image Fusion via Convolutional Sparsity based Morphological Component Analysis Y Liu, X Chen, RK Ward, ZJ Wang IEEE Signal Processing Letters 26 (3), 485-489, 2019 | 262 | 2019 |
Multi-focus image fusion: A survey of the state of the art Y Liu, L Wang, J Cheng, C Li, X Chen Information Fusion 64, 71-91, 2020 | 248 | 2020 |
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI Z Zhu, X He, G Qi, Y Li, B Cong, Y Liu Information Fusion 91, 376-387, 2023 | 210 | 2023 |
Video-based heart rate measurement: Recent advances and future prospects X Chen, J Cheng, R Song, Y Liu, R Ward, ZJ Wang IEEE Transactions on Instrumentation and Measurement 68 (10), 3600-3615, 2019 | 198 | 2019 |
Emotion recognition from multi-channel eeg via deep forest J Cheng, M Chen, C Li, Y Liu, R Song, A Liu, X Chen IEEE Journal of Biomedical and Health Informatics 25 (2), 453-464, 2021 | 179 | 2021 |
Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network Y Liu, Y Ding, C Li, J Cheng, R Song, F Wan, X Chen Computers in Biology and Medicine 123, 103927:1-11, 2020 | 163 | 2020 |
Image Dehazing by An Artificial Image Fusion Method based on Adaptive Structure Decomposition M Zheng, G Qi, Z Zhu, Y Li, H Wei, Y Liu IEEE Sensors Journal, 2020 | 155 | 2020 |
PulseGAN: Learning to generate realistic pulse waveforms in remote photoplethysmography R Song, H Chen, J Cheng, C Li, Y Liu, X Chen IEEE Journal of Biomedical and Health Informatics 25 (5), 1373-1384, 2021 | 153 | 2021 |