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Dina A Ragab

Showing results (1-10 of 9) with videos related to

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Peerj. Computer Science|April 5, 2021
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted featuresDina A Ragab, Omneya Attallah
Peerj|October 16, 2020
MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networksOmneya Attallah, Dina A Ragab, Maha Sharkas
Journal of Imaging Informatics in Medicine|February 21, 2024
DeepCSFusion: Deep Compressive Sensing Fusion for Efficient COVID-19 ClassificationDina A Ragab, Salema Fayed, Noha Ghatwary
Diagnostics (Basel, Switzerland)|November 14, 2019
Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple ClassifiersDina A Ragab, Maha Sharkas, Omneya Attallah
Peerj|February 5, 2019
Breast cancer detection using deep convolutional neural networks and support vector machinesDina A Ragab, Maha Sharkas, Stephen Marshall, et al.
Scientific Reports|May 8, 2026
DC bias optimization in intelligent DCO-OFDM Li-Fi systems using hybrid machine learning with hardware validationEsraa Abdelhakim, Dina A Ragab, Mohamed Abaza, et al.
Scientific Reports|May 7, 2026
Hybrid deep learning framework for image restoration in Fso systems affected by log-normal fadingFatma A Soliman, Dina A Ragab, Walid El-Shafai, et al.
Computers in Biology and Medicine|February 8, 2021
A framework for breast cancer classification using Multi-DCNNsDina A Ragab, Omneya Attallah, Maha Sharkas, et al.
Pediatric Research|September 8, 2019
Longer duration of kangaroo care improves neurobehavioral performance and feeding in preterm infants: a randomized controlled trialRania A El-Farrash, Dina M Shinkar, Dina A Ragab, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Peerj. Computer Science|April 5, 2021
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted featuresDina A Ragab, Omneya Attallah
Peerj|October 16, 2020
MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networksOmneya Attallah, Dina A Ragab, Maha Sharkas
Journal of Imaging Informatics in Medicine|February 21, 2024
DeepCSFusion: Deep Compressive Sensing Fusion for Efficient COVID-19 ClassificationDina A Ragab, Salema Fayed, Noha Ghatwary
Diagnostics (Basel, Switzerland)|November 14, 2019
Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple ClassifiersDina A Ragab, Maha Sharkas, Omneya Attallah
Peerj|February 5, 2019
Breast cancer detection using deep convolutional neural networks and support vector machinesDina A Ragab, Maha Sharkas, Stephen Marshall, et al.
Scientific Reports|May 8, 2026
DC bias optimization in intelligent DCO-OFDM Li-Fi systems using hybrid machine learning with hardware validationEsraa Abdelhakim, Dina A Ragab, Mohamed Abaza, et al.
Scientific Reports|May 7, 2026
Hybrid deep learning framework for image restoration in Fso systems affected by log-normal fadingFatma A Soliman, Dina A Ragab, Walid El-Shafai, et al.
Computers in Biology and Medicine|February 8, 2021
A framework for breast cancer classification using Multi-DCNNsDina A Ragab, Omneya Attallah, Maha Sharkas, et al.
Pediatric Research|September 8, 2019
Longer duration of kangaroo care improves neurobehavioral performance and feeding in preterm infants: a randomized controlled trialRania A El-Farrash, Dina M Shinkar, Dina A Ragab, et al.
Pageof 1