Hossam Magdy Balaha - Gynecology

Author Information

Hossam Magdy Balaha is affiliated with the Computer Engineering and Control Systems Department at the Faculty of Engineering, Mansoura University, Egypt. His research contributions prominently focus on the intersection of artificial intelligence, deep learning, and medical image analysis.

Research Contributions

Hossam Magdy Balaha has made significant contributions to the fields of deep learning, genetic algorithms, and medical imaging. His recent work includes developing frameworks for the recognition and prognosis of COVID-19 patients and early ultrasound diagnoses of breast cancer. His research has also delved into the automatic diagnosis of COVID-19 from chest x-ray images, Arabic handwritten character recognition, and human action recognition using transfer learning approaches.

Aliases

Hossam Magdy Balaha is also known by the aliases H.m. Balaha and Hossam M Balaha.

Publication and Citation Metrics

Publication Year	Title	DOI
2022	A complete framework for accurate recognition and prognosis of COVID-19 patients based on deep transfer learning and feature classification approach	10.1007/s10462-021-10127-8
2022	Hybrid deep learning and genetic algorithms approach (HMB-DLGAHA) for the early ultrasound diagnoses of breast cancer	10.1007/s00521-021-06851-5
2021	Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms	10.1016/j.artmed.2021.102156
2021	An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest x-ray images	10.7717/peerj-cs.555
2021	Recognizing arabic handwritten characters using deep learning and genetic algorithms	10.1007/s11042-021-11185-4
2021	A new Arabic handwritten character recognition deep learning system (AHCR-DLS)	10.1007/s00521-020-05397-2
2021	Human Action Recognition Based on Transfer Learning Approach	10.1109/ACCESS.2021.3086668
2021	CovH2SD: A COVID-19 detection approach based on Harris Hawks Optimization and stacked deep learning	10.1016/j.eswa.2021.115805
2021	Automatic Exam Correction Framework (AECF) for the MCQs, Essays, and Equations Matching	10.1109/ACCESS.2021.3060940
2020	Automatic recognition of handwritten Arabic characters: a comprehensive review	10.1007/s00521-020-05137-6