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Ahmed Elazab
Ahmed Elazab
PhD, Biomedical engineering
Verified email at szu.edu.cn
Title
Cited by
Cited by
Year
Breast cancer detection and diagnosis using mammographic data: Systematic review
SJS Gardezi, A Elazab, B Lei, T Wang
Journal of medical Internet research 21 (7), e14464, 2019
1092019
Deep learning framework for Alzheimer’s disease diagnosis via 3D-CNN and FSBi-LSTM
C Feng, A Elazab, P Yang, T Wang, F Zhou, H Hu, X Xiao, B Lei
IEEE Access 7, 63605-63618, 2019
1062019
Lung nodule classification using deep feature fusion in chest radiography
C Wang, A Elazab, J Wu, Q Hu
Computerized Medical Imaging and Graphics 57, 10-18, 2017
1012017
Segmentation of brain tissues from magnetic resonance images using adaptively regularized kernel-based fuzzy-means clustering
A Elazab, C Wang, F Jia, J Wu, G Li, Q Hu
Computational and mathematical methods in medicine 2015, 2015
1012015
A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning
H Lei, T Han, F Zhou, Z Yu, J Qin, A Elazab, B Lei
Pattern Recognition 79, 290-302, 2018
972018
Breast cancer image classification via multi-network features and dual-network orthogonal low-rank learning
Y Wang, B Lei, A Elazab, EL Tan, W Wang, F Huang, X Gong, T Wang
IEEE Access 8, 27779-27792, 2020
402020
Protein–protein interactions prediction via multimodal deep polynomial network and regularized extreme learning machine
H Lei, Y Wen, Z You, A Elazab, EL Tan, Y Zhao, B Lei
IEEE journal of biomedical and health informatics 23 (3), 1290-1303, 2018
332018
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images
A Elazab, C Wang, SJS Gardezi, H Bai, Q Hu, T Wang, C Chang, B Lei
Neural Networks 132, 321-332, 2020
322020
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease
B Lei, N Cheng, AF Frangi, EL Tan, J Cao, P Yang, A Elazab, J Du, Y Xu, ...
Medical image analysis 61, 101652, 2020
262020
Deeply-learnt damped least-squares (DL-DLS) method for inverse kinematics of snake-like robots
OM Omisore, S Han, L Ren, A Elazab, L Hui, T Abdelhamid, NA Azeez, ...
Neural Networks 107, 34-47, 2018
212018
3D convolutional neural network and stacked bidirectional recurrent neural network for Alzheimer’s disease diagnosis
C Feng, A Elazab, P Yang, T Wang, B Lei, X Xiao
International workshop on predictive intelligence in medicine, 138-146, 2018
212018
Simultaneous reconstruction of the time-dependent Robin coefficient and heat flux in heat conduction problems
T Abdelhamid, AH Elsheikh, A Elazab, SW Sharshir, ES Selima, D Jiang
Inverse Problems in Science and Engineering 26 (9), 1231-1248, 2018
212018
Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder
C Wang, A Elazab, F Jia, J Wu, Q Hu
Biomedical engineering online 17 (1), 1-19, 2018
202018
Parkinson's disease diagnosis via joint learning from multiple modalities and relations
H Lei, Z Huang, F Zhou, A Elazab, EL Tan, H Li, J Qin, B Lei
IEEE Journal of Biomedical and Health Informatics 23 (4), 1437-1449, 2018
202018
A novel technique for robust and fast segmentation of corneal layer interfaces based on spectral-domain optical coherence tomography imaging
T Zhang, A Elazab, X Wang, F Jia, J Wu, G Li, Q Hu
Ieee Access 5, 10352-10363, 2017
202017
Robust kernelized local information fuzzy C-means clustering for brain magnetic resonance image segmentation
A Elazab, YM AbdulAzeem, S Wu, Q Hu
Journal of X-ray Science and Technology 24 (3), 489-507, 2016
192016
Macroscopic cerebral tumor growth modeling from medical images: A review
A Elazab, YM Abdulazeem, AM Anter, Q Hu, T Wang, B Lei
IEEE Access 6, 30663-30679, 2018
172018
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis
B Lei, Y Zhao, Z Huang, X Hao, F Zhou, A Elazab, J Qin, H Lei
Medical Image Analysis 61, 101632, 2020
162020
Non-iterative geometric approach for inverse kinematics of redundant lead-module in a radiosurgical snake-like robot
OM Omisore, S Han, L Ren, N Zhang, K Ivanov, A Elazab, L Wang
BioMedical Engineering OnLine 16 (1), 1-25, 2017
162017
Post-surgery glioma growth modeling from magnetic resonance images for patients with treatment
A Elazab, H Bai, YM Abdulazeem, T Abdelhamid, S Zhou, KKL Wong, ...
Scientific Reports 7 (1), 1-13, 2017
152017
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