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Erlei zhang
Erlei zhang
Northwest A&F University -- Northwest University -- UT Southwestern Medical Center -- Xidian
Verified email at nwu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
582020
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
502015
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
462013
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
402020
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
402016
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
362020
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
322020
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
292016
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
272016
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
172021
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, 2023
162023
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
152013
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
112022
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
112013
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
102019
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
92021
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
92019
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
92019
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
82023
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
82022
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