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Ahmed Elazab
PeerJ Editor, Author & Reviewer
1,600 Points

Contributions by role

Editor 1,600

Contributions by subject area

Bioinformatics
Artificial Intelligence
Data Mining and Machine Learning
Data Science
Computer Vision
Human-Computer Interaction
Neural Networks
Graphics
Multimedia
Computational Biology
Algorithms and Analysis of Algorithms

Ahmed Elazab

PeerJ Editor, Author & Reviewer

Summary

Ahmed Elazab received his Ph.D. degree in pattern recognition and intelligent systems from Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, China, Jan 2017. He was a postdoctoral research fellow from Jan 2018 to April 2020 at the School of Biomedical Engineering, Shenzhen University, Shenzhen, China where he is currently a research associate since Jan 2021. Dr. Elazab has authored and co-authored more than 80 peer-reviewed papers and has been a reviewer in prestigious peer-reviewed international journals. His main research interests include machine and deep learning, medical image analysis, brain anatomy analysis, and computer-aided detection and diagnosis.

Algorithms & Analysis of Algorithms Artificial Intelligence Bioinformatics Computational Biology Computational Science Computer Aided Design Computer Vision Data Mining & Machine Learning Data Science Mathematical Biology

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

Shenzhen University

Work details

Associate Researcher

Shenzhen University
January 2021
Health Science Center, School of Biomedical Engineering

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 7

Academic Editor on

August 24, 2023
Classification of Alzheimer’s disease stages from magnetic resonance images using deep learning
Alejandro Mora-Rubio, Mario Alejandro Bravo-Ortíz, Sebastián Quiñones Arredondo, Jose Manuel Saborit Torres, Gonzalo A. Ruz, Reinel Tabares-Soto
https://doi.org/10.7717/peerj-cs.1490
June 6, 2023
A novel framework based on deep learning for COVID-19 diagnosis from X-ray images
SeyyedMohammad JavadiMoghaddam
https://doi.org/10.7717/peerj-cs.1375
October 3, 2022
Research on melanoma image segmentation by incorporating medical prior knowledge
Hong Zhao, Aolong Wang, Chenpeng Zhang
https://doi.org/10.7717/peerj-cs.1122
February 16, 2022
2D facial landmark localization method for multi-view face synthesis image using a two-pathway generative adversarial network approach
Mahmood H.B. Alhlffee, Yea-Shuan Huang, Yi-An Chen
https://doi.org/10.7717/peerj-cs.897
July 13, 2021
A comprehensive review of deep learning-based single image super-resolution
Syed Muhammad Arsalan Bashir, Yi Wang, Mahrukh Khan, Yilong Niu
https://doi.org/10.7717/peerj-cs.621
June 22, 2021
Deep sequence modelling for predicting COVID-19 mRNA vaccine degradation
Talal S. Qaid, Hussein Mazaar, Mohammed S. Alqahtani, Abeer A. Raweh, Wafaa Alakwaa
https://doi.org/10.7717/peerj-cs.597
November 23, 2020
Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks
Haruna Chiroma, Absalom E. Ezugwu, Fatsuma Jauro, Mohammed A. Al-Garadi, Idris N. Abdullahi, Liyana Shuib
https://doi.org/10.7717/peerj-cs.313