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Ahmed Fakhry
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Books and Theses
- 2016
- [b1]Ahmed Fakhry:
Machine Learning Methods for Brain Image Analysis. Old Dominion University, Norfolk, Virginia, USA, 2016
Journal Articles
- 2020
- [j7]Mohamed Abdel-Basset, Gunasekaran Manogaran, Ahmed Fakhry, Ibrahim M. El-Henawy:
2-Levels of clustering strategy to detect and locate copy-move forgery in digital images. Multim. Tools Appl. 79(7-8): 5419-5437 (2020) - 2019
- [j6]Arun Kumar Sangaiah
, Ahmed Fakhry, Mohamed Abdel-Basset
, Ibrahim M. El-Henawy:
Arabic text clustering using improved clustering algorithms with dimensionality reduction. Clust. Comput. 22(Supplement): 4535-4549 (2019) - 2017
- [j5]Mohamed Abdel-Basset, Ahmed Fakhry, Ibrahim M. El-Henawy, Tie Qiu, Arun Kumar Sangaiah
:
Feature and Intensity Based Medical Image Registration Using Particle Swarm Optimization. J. Medical Syst. 41(12): 197:1-197:15 (2017) - [j4]Ahmed Fakhry, Tao Zeng, Shuiwang Ji
:
Residual Deconvolutional Networks for Brain Electron Microscopy Image Segmentation. IEEE Trans. Medical Imaging 36(2): 447-456 (2017) - 2016
- [j3]Ahmed Fakhry, Hanchuan Peng, Shuiwang Ji
:
Deep models for brain EM image segmentation: novel insights and improved performance. Bioinform. 32(15): 2352-2358 (2016) - 2015
- [j2]Ahmed Fakhry, Tao Zeng, Hanchuan Peng, Shuiwang Ji
:
Global analysis of gene expression and projection target correlations in the mouse brain. Brain Informatics 2(2): 107-117 (2015) - 2014
- [j1]Shuiwang Ji
, Ahmed Fakhry, Houtao Deng:
Integrative analysis of the connectivity and gene expression atlases in the mouse brain. NeuroImage 84: 245-253 (2014)
Conference and Workshop Papers
- 2021
- [c3]Ahmed Fakhry, Xinyi Jiang, Jaclyn Xiao
, Gunvant Chaudhari, Asriel Han:
A Multi-Branch Deep Learning Network for Automated Detection of COVID-19. Interspeech 2021: 4139-4143 - 2015
- [c2]Xiaoli Lian, Ahmed Fakhry, Li Zhang, Jane Cleland-Huang:
Leveraging Traceability to Reveal the Tapestry of Quality Concerns in Source Code. SST@ICSE 2015: 50-56 - 2014
- [c1]Mehdi Mirakhorli, Ahmed Fakhry, Artem Grechko, Mateusz Wieloch, Jane Cleland-Huang:
Archie: a tool for detecting, monitoring, and preserving architecturally significant code. SIGSOFT FSE 2014: 739-742
Informal and Other Publications
- 2023
- [i4]Ahmed Fakhry, Raneem Khafagy, Adriaan-Alexander Ludl:
GENER: A Parallel Layer Deep Learning Network To Detect Gene-Gene Interactions From Gene Expression Data. CoRR abs/2310.03611 (2023) - [i3]Kun Qian, Anton Belyi, Fei Wu, Samira Khorshidi, Azadeh Nikfarjam, Rahul Khot, Yisi Sang, Katherine Luna, Xianqi Chu, Eric Choi, Yash Govind, Chloe Seivwright, Yiwen Sun, Ahmed Fakhry, Theodoros Rekatsinas, Ihab F. Ilyas, Xiaoguang Qi, Yunyao Li:
Open Domain Knowledge Extraction for Knowledge Graphs. CoRR abs/2312.09424 (2023) - 2021
- [i2]Ahmed Fakhry, Xinyi Jiang, Jaclyn Xiao, Gunvant Chaudhari, Asriel Han, Amil Khanzada:
Virufy: A Multi-Branch Deep Learning Network for Automated Detection of COVID-19. CoRR abs/2103.01806 (2021) - 2020
- [i1]Gunvant Chaudhari, Xinyi Jiang, Ahmed Fakhry, Asriel Han, Jaclyn Xiao, Sabrina Shen, Amil Khanzada
:
Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough. CoRR abs/2011.13320 (2020)
Coauthor Index
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