187 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Ajman UniversityAE3 papers
- Beni-Suef UniversityEG3 papers
- Suez UniversityEG3 papers
- Universidade de VigoES3 papers
- Zagazig UniversityEG3 papers
- Ahmed Draia UniversityDZ2 papers
- Asia UniversityTW1 paper
- Assiut UniversityEG1 paper
- Birmingham City UniversityGB1 paper
- Cairo UniversityEG1 paper
- CCTEG Shenyang Research InstituteCN1 paper
- Deakin UniversityAU1 paper
5 papers
Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks
Alhassan Mabrouk, Rebeca P. Díaz Redondo, Abdelghani Dahou +2
Pneumonia is a life-threatening lung infection resulting from several different viral infections. Identifying and treating pneumonia on chest X-ray images can be difficult due to i…
Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things
Alhassan Mabrouk, Abdelghani Dahou, Mohamed Abd Elaziz +2
The Internet of Medical Things (IoMT) has dramatically benefited medical professionals that patients and physicians can access from all regions. Although the automatic detection an…
Ensemble Federated Learning: an approach for collaborative pneumonia diagnosis
Alhassan Mabrouk, Rebeca P. Díaz Redondo, Mohamed Abd Elaziz +1
Federated learning is a very convenient approach for scenarios where (i) the exchange of data implies privacy concerns and/or (ii) a quick reaction is needed. In smart healthcare s…
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation
Haiming Yi, Lei Hou, Yuhong Jin +3
Diffusion models have demonstrated powerful data generation capabilities in various research fields such as image generation. However, in the field of vibration signal generation,…
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber +4
Breast histology image classification is a crucial step in the early diagnosis of breast cancer. In breast pathological diagnosis, Convolutional Neural Networks (CNNs) have demonst…