Dina A Ragab

Years Active: 2019-2024
Publications (10 Years): 7

Arab Academy for Science Technology and Maritime Transport

University of Strathclyde (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Arab Academy for Science Technology and Maritime Transport May 01 2014

Egypt

Assistant Lecturer :: Electronics and Communications

Education History

University of Strathclyde Jan 01 2016

United Kingdom

PHD :: Electronic and Electrical Engineering

Arab Academy for Science Technology and Maritime Transport Feb 01 2008 - Nov 01 2011

Egypt

MSC :: Electronics and Communications

Arab Academy for Science Technology and Maritime Transport Sep 01 2002 - Jul 01 2007

Egypt

BSC :: Electronics and Communications

Publications

Dina A Ragab, Salema Fayed, Noha Ghatwary
DeepCSFusion: Deep Compressive Sensing Fusion for Efficient COVID-19 Classification. Journal of imaging informatics in medicine 37 (4) (2024)
Dina A Ragab, Salema Fayed, Noha Ghatwary
DeepCSFusion: Deep Compressive Sensing Fusion for Efficient COVID-19 Classification. Journal of imaging informatics in medicine (2024)
Dina A Ragab, Salema Fayed, Noha Ghatwary
DeepCSFusion: Deep Compressive Sensing Fusion for Efficient COVID-19 Classification. Journal of imaging informatics in medicine 37 (4) (2024)
Dina A Ragab, Salema Fayed, Noha Ghatwary
DeepCSFusion: Deep Compressive Sensing Fusion for Efficient COVID-19 Classification. Journal of imaging informatics in medicine 37 (4) (2024)
Dina A Ragab, Omneya Attallah
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features. PeerJ. Computer science 6 (2020)
Omneya Attallah, Dina A Ragab, Maha Sharkas
MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks. PeerJ 8 (2020)
Dina A Ragab, Maha A Sharkas, Omneya Attallah
Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple Classifiers. Diagnostics (Basel, Switzerland) 9 (4) (2019)

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