Ahmed Fakhry

According to our database1, Ahmed Fakhry authored at least 15 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Open Domain Knowledge Extraction for Knowledge Graphs.
CoRR, 2023

GENER: A Parallel Layer Deep Learning Network To Detect Gene-Gene Interactions From Gene Expression Data.
CoRR, 2023

2021
Virufy: A Multi-Branch Deep Learning Network for Automated Detection of COVID-19.
CoRR, 2021

A Multi-Branch Deep Learning Network for Automated Detection of COVID-19.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020
2-Levels of clustering strategy to detect and locate copy-move forgery in digital images.
Multim. Tools Appl., 2020

Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough.
CoRR, 2020

2019
Arabic text clustering using improved clustering algorithms with dimensionality reduction.
Clust. Comput., 2019

2017
Residual Deconvolutional Networks for Brain Electron Microscopy Image Segmentation.
IEEE Trans. Medical Imaging, 2017

Feature and Intensity Based Medical Image Registration Using Particle Swarm Optimization.
J. Medical Syst., 2017

2016
Machine Learning Methods for Brain Image Analysis.
PhD thesis, 2016

Deep models for brain EM image segmentation: novel insights and improved performance.
Bioinform., 2016

2015
Global analysis of gene expression and projection target correlations in the mouse brain.
Brain Informatics, 2015

Leveraging Traceability to Reveal the Tapestry of Quality Concerns in Source Code.
Proceedings of the 8th IEEE/ACM International Symposium on Software and Systems Traceability, 2015

2014
Integrative analysis of the connectivity and gene expression atlases in the mouse brain.
NeuroImage, 2014

Archie: a tool for detecting, monitoring, and preserving architecturally significant code.
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16, 2014


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