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Scientific Reports|August 22, 2022
A lightweight hybrid deep learning system for cardiac valvular disease classificationYazan Al-Issa, Ali Mohammad AlqudahMedical & Biological Engineering & Computing|November 16, 2019
AOCT-NET: a convolutional network automated classification of multiclass retinal diseases using spectral-domain optical coherence tomography imagesAli Mohammad AlqudahJournal of Medical Engineering & Technology|November 27, 2019
Towards classifying non-segmented heart sound records using instantaneous frequency based featuresAli Mohammad AlqudahJournal of Medical Engineering & Technology|October 7, 2017
An enhanced method for real-time modelling of cardiac related biosignals using Gaussian mixturesAli Mohammad AlqudahDiagnostics (Basel, Switzerland)|February 13, 2026
Awake Insights for Obstructive Sleep Apnea: Severity Detection Using Tracheal Breathing Sounds and Meta-Model AnalysisAli Mohammad Alqudah, Zahra MoussaviHealth Information Science and Systems|November 25, 2025
A multimodal approach for cardiac signals classification using deep learning with explainable AI methodsAli Mohammad Alqudah, Ausilah AlfraihatJournal of Medical Engineering & Technology|March 26, 2021
Sliding window based deep ensemble system for breast cancer classificationAmin Alqudah, Ali Mohammad AlqudahSensors (Basel, Switzerland)|October 29, 2025
Assessing Obstructive Sleep Apnea Severity During Wakefulness via Tracheal Breathing Sound AnalysisAli Mohammad Alqudah, Zahra MoussaviJournal of Healthcare Engineering|October 1, 2019
eHealth Cloud Security Challenges: A SurveyYazan Al-Issa, Mohammad Ashraf Ottom, Ahmed TamrawiPlos One|April 14, 2025
Deep learning models for segmenting phonocardiogram signals: a comparative studyHiam Alquran, Yazan Al-Issa, Mohammed Alsalatie, et al.Pageof 3