Dr. Ahmed Abas Mohammed Elazab

Assistant Professor
Shenzhen University, China

Highest Degree
Ph.D. in Pattern Recognition and Intelligent System from Chinese Academy of Sciences, China

My URL
https://livedna.org/20.23709

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Area of Interest:

Computer Sciences
Image Processing
Pattern Recognition
Data Structures
Algorithm

Selected Publications

  1. Lei, H., T. Han, F. Zhou, Z. Yu, J. Qin, A. Elazab and B. Lei, 2018. A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning. Pattern Recognit., 79: 290-302.
    CrossRef  |  

  2. Zhang, T., A. Elazab, X. Wang, F. Jia, J. Wu, G. Li and Q. Hu, 2017. A novel technique for robust and fast segmentation of corneal layer interfaces based on spectral-domain optical coherence tomography imaging. IEEE Access, 5: 10352-10363.
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  3. Xu, J., A. Elazab, J. Liang, F. Jia and H. Zheng et al., 2017. Cortical and subcortical structural plasticity associated with the glioma volumes in patients with cerebral gliomas revealed by surface-based morphometry. Front. Neurol., Vol. 8 10.3389/fneur.2017.00266.
    CrossRef  |  

  4. Wang, C., A. Elazab, J. Wu and Q. Hu, 2017. Lung nodule classification using deep feature fusion in chest radiography. Comput. Med. Imaging Graph., 57: 10-18.
    CrossRef  |  

  5. Omisore, O.M., S. Han, L. Ren, N. Zhang, K. Ivanov, A. Elazab and L. Wang, 2017. Non-iterative geometric approach for inverse kinematics of redundant lead-module in a radiosurgical snake-like robot. Biomed. Eng. Online, Vol. 16. 10.1186/s12938-017-0383-2.
    CrossRef  |  

  6. Elazab, A., H. Bai, Y.M. AbdulAzeem, T. Abdelhamid, S. Zhou, K. K.L. Wong and Q. Hu, 2017. Post-surgery glioma growth modeling from magnetic resonance images for patients with treatment. Sci. Rep., Vol. 7 10.1038/s41598-017-01189-2.
    CrossRef  |  

  7. Abdelhamid, T., A.H. Elsheikh, A. Elazab, S.W. Sharshir, E.S. Selima and D. Jiang, 2017. Simultaneous reconstruction of the time-dependent robin coefficient and heat flux in heat conduction problems. Inverse Prob. Sci. Eng. 10.1080/17415977.2017.1391243.
    CrossRef  |  

  8. Elazab, A., Y.M. AbdulAzeem, S. Wu and Q. Hu, 2016. Robust kernelized local information fuzzy c-means clustering for brain magnetic resonance image segmentation. J. X-Ray Sci. Technol., 24: 489-507.
    CrossRef  |  

  9. Chen, M., S. Zhu, F. Jia, X. Li, A. Elazab and Q. Hu, 2016. Segmentation of cerebral edema around intracranial hemorrhage on CT scans through classification model learned from patients with both CT and T2-weighted Magnetic resonance images. J. Integration Technol., 5: 11-29.

  10. Elazab, A., C. Wang, F. Jia, J. Wu, G. Li and Q Hu, 2015. Segmentation of brain tissues from magnetic resonance images using adaptively regularized kernel-based fuzzy c-means clustering. Comput. Math. Methods Med., Vol. 2015. 10.1155/2015/485495.
    CrossRef  |  

  11. Chen, M., A. Elazab, F. Jia, J. Wu, G. Li, X. Li and Q. Hu, 2015. Automatic estimation of midline shift in patients with cerebral glioma based on enhanced voigt model and local symmetry. Australas. Phys. Eng. Sci. Med., 38: 627-641.
    CrossRef  |  
Member since April, 2018