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Heba M Emara

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

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Scientific Reports|February 9, 2026
PCSA-Net: pyramid channel and spatial attention network for multiclass renal disease diagnosis using CT imagesNahed Tawfik, Heba M Emara, Walid El-Shafai, et al.
Frontiers in Physiology|May 21, 2025
A stacked learning framework for accurate classification of polycystic ovary syndrome with advanced data balancing and feature selection techniquesHeba M Emara, Walid El-Shafai, Naglaa F Soliman, et al.
Frontiers in Public Health|December 19, 2022
Efficient framework for brain tumor detection using different deep learning techniquesFatma Taher, Mohamed R Shoaib, Heba M Emara, et al.
Scientific Reports|December 23, 2025
Exploiting fuzzy weights in CNN model-based taxonomic classification of 500-bp sequence bacterial datasetAbeer D Algarni, Fathi E Abd El-Samie, Naglaa F Soliman, et al.
Computers in Biology and Medicine|December 30, 2023
Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the DiaCNN modelMohamed R Shoaib, Heba M Emara, Jun Zhao, et al.
Journal of Ambient Intelligence and Humanized Computing|March 14, 2022
Hybrid classification structures for automatic COVID-19 detectionMohamed R Shoaib, Heba M Emara, Mohamed Elwekeil, et al.
Microscopy Research and Technique|June 14, 2021
Deep convolutional neural networks for COVID-19 automatic diagnosisHeba M Emara, Mohamed R Shoaib, Mohamed Elwekeil, et al.
International Journal for Numerical Methods in Biomedical Engineering|January 25, 2022
Deep-learning-based seizure detection and prediction from electroencephalography signalsFatma E Ibrahim, Heba M Emara, Walid El-Shafai, et al.
Diagnostics (Basel, Switzerland)|April 13, 2023
Simultaneous Super-Resolution and Classification of Lung Disease ScansHeba M Emara, Mohamed R Shoaib, Walid El-Shafai, et al.
Medical & Biological Engineering & Computing|September 6, 2023
Automated diagnosis of EEG abnormalities with different classification techniquesEssam Abdellatef, Heba M Emara, Mohamed R Shoaib, et al.
Pageof 1

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

Sort By:
Pageof 1
Scientific Reports|February 9, 2026
PCSA-Net: pyramid channel and spatial attention network for multiclass renal disease diagnosis using CT imagesNahed Tawfik, Heba M Emara, Walid El-Shafai, et al.
Frontiers in Physiology|May 21, 2025
A stacked learning framework for accurate classification of polycystic ovary syndrome with advanced data balancing and feature selection techniquesHeba M Emara, Walid El-Shafai, Naglaa F Soliman, et al.
Frontiers in Public Health|December 19, 2022
Efficient framework for brain tumor detection using different deep learning techniquesFatma Taher, Mohamed R Shoaib, Heba M Emara, et al.
Scientific Reports|December 23, 2025
Exploiting fuzzy weights in CNN model-based taxonomic classification of 500-bp sequence bacterial datasetAbeer D Algarni, Fathi E Abd El-Samie, Naglaa F Soliman, et al.
Computers in Biology and Medicine|December 30, 2023
Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the DiaCNN modelMohamed R Shoaib, Heba M Emara, Jun Zhao, et al.
Journal of Ambient Intelligence and Humanized Computing|March 14, 2022
Hybrid classification structures for automatic COVID-19 detectionMohamed R Shoaib, Heba M Emara, Mohamed Elwekeil, et al.
Microscopy Research and Technique|June 14, 2021
Deep convolutional neural networks for COVID-19 automatic diagnosisHeba M Emara, Mohamed R Shoaib, Mohamed Elwekeil, et al.
International Journal for Numerical Methods in Biomedical Engineering|January 25, 2022
Deep-learning-based seizure detection and prediction from electroencephalography signalsFatma E Ibrahim, Heba M Emara, Walid El-Shafai, et al.
Diagnostics (Basel, Switzerland)|April 13, 2023
Simultaneous Super-Resolution and Classification of Lung Disease ScansHeba M Emara, Mohamed R Shoaib, Walid El-Shafai, et al.
Medical & Biological Engineering & Computing|September 6, 2023
Automated diagnosis of EEG abnormalities with different classification techniquesEssam Abdellatef, Heba M Emara, Mohamed R Shoaib, et al.
Pageof 1