BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis E Zhang, S Seiler, M Chen, W Lu, X Gu Physics in Medicine & Biology 65 (12), 125005, 2020 | 62 | 2020 |
Fast multifeature joint sparse representation for hyperspectral image classification E Zhang, X Zhang, H Liu, L Jiao IEEE Geoscience and Remote Sensing Letters 12 (7), 1397-1401, 2015 | 51 | 2015 |
Improving hyperspectral image classification using spectral information divergence E Zhang, X Zhang, S Yang, S Wang IEEE Geoscience and Remote Sensing Letters 11 (1), 249-253, 2013 | 46 | 2013 |
Spectral–spatial hyperspectral image ensemble classification via joint sparse representation E Zhang, X Zhang, L Jiao, L Li, B Hou Pattern Recognition 59, 42-54, 2016 | 40 | 2016 |
Robustness study of noisy annotation in deep learning based medical image segmentation S Yu, M Chen, E Zhang, J Wu, H Yu, Z Yang, L Ma, X Gu, W Lu Physics in Medicine & Biology 65 (17), 175007, 2020 | 39 | 2020 |
Shallow–deep convolutional network and spectral-discrimination-based detail injection for multispectral imagery pan-sharpening L Liu, J Wang, E Zhang, B Li, X Zhu, Y Zhang, J Peng IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 38 | 2020 |
PSMD-Net: A novel pan-sharpening method based on a multiscale dense network J Peng, L Liu, J Wang, E Zhang, X Zhu, Y Zhang, J Feng, L Jiao IEEE Transactions on Geoscience and Remote Sensing 59 (6), 4957-4971, 2020 | 32 | 2020 |
Weighted multifeature hyperspectral image classification via kernel joint sparse representation E Zhang, X Zhang, L Jiao, H Liu, S Wang, B Hou Neurocomputing 178, 71-86, 2016 | 30 | 2016 |
Class-level joint sparse representation for multifeature-based hyperspectral image classification E Zhang, L Jiao, X Zhang, H Liu, S Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 27 | 2016 |
Hybrid Conv-ViT network for hyperspectral image classification H Yan, E Zhang, J Wang, C Leng, A Basu, J Peng IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023 | 21 | 2023 |
A 3D cascaded spectral–spatial element attention network for hyperspectral image classification H Yan, J Wang, L Tang, E Zhang, K Yan, K Yu, J Peng Remote Sensing 13 (13), 2451, 2021 | 17 | 2021 |
Spatial-spectral classification based on group sparse coding for hyperspectral image X Zhang, P Weng, J Feng, E Zhang, B Hou 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 1745 …, 2013 | 15 | 2013 |
Hyperspectral image classification via deep network with attention mechanism and multigroup strategy J Wang, J Sun, E Zhang, T Zhang, K Yu, J Peng Expert Systems with Applications 224, 119904, 2023 | 11 | 2023 |
A classification benchmark for Arabic alphabet phonemes with diacritics in deep neural networks E Almekhlafi, ALM Moeen, E Zhang, J Wang, J Peng Computer Speech & Language 71, 101274, 2022 | 11 | 2022 |
Hyperspectral image classification based on nonlocal means with a novel class-relativity measurement M Jia, M Gong, E Zhang, Y Li, L Jiao IEEE Geoscience and Remote Sensing Letters 11 (7), 1300-1304, 2013 | 11 | 2013 |
A relic sketch extraction framework based on detail-aware hierarchical deep network J Peng, J Wang, J Wang, E Zhang, Q Zhang, Y Zhang, X Peng, K Yu Signal Processing 183, 108008, 2021 | 10 | 2021 |
GGD-GAN: Gradient-guided dual-branch adversarial networks for relic sketch generation J Wang, E Zhang, S Cui, J Wang, Q Zhang, J Fan, J Peng Pattern Recognition 141, 109586, 2023 | 9 | 2023 |
MTFFN: Multimodal transfer feature fusion network for hyperspectral image classification H Yan, E Zhang, J Wang, C Leng, J Peng IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 9 | 2022 |
A Matlab toolbox for feature importance ranking S Yu, Z Zhang, X Liang, J Wu, E Zhang, W Qin, Y Xie 2019 International Conference on Medical Imaging Physics and Engineering …, 2019 | 9 | 2019 |
Boundary-aware semi-supervised deep learning for breast ultrasound computer-aided diagnosis E Zhang, S Seiler, M Chen, W Lu, X Gu 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 9 | 2019 |