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Ali Mohammad Alqudah

Showing results (1-10 of 15) with videos related to

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Medical & 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 Alqudah
Journal of Medical Engineering & Technology|November 27, 2019
Towards classifying non-segmented heart sound records using instantaneous frequency based featuresAli Mohammad Alqudah
Journal of Medical Engineering & Technology|October 7, 2017
An enhanced method for real-time modelling of cardiac related biosignals using Gaussian mixturesAli Mohammad Alqudah
Diagnostics (Basel, Switzerland)|February 13, 2026
Awake Insights for Obstructive Sleep Apnea: Severity Detection Using Tracheal Breathing Sounds and Meta-Model AnalysisAli Mohammad Alqudah, Zahra Moussavi
Health Information Science and Systems|November 25, 2025
A multimodal approach for cardiac signals classification using deep learning with explainable AI methodsAli Mohammad Alqudah, Ausilah Alfraihat
Journal of Medical Engineering & Technology|March 26, 2021
Sliding window based deep ensemble system for breast cancer classificationAmin Alqudah, Ali Mohammad Alqudah
Sensors (Basel, Switzerland)|October 29, 2025
Assessing Obstructive Sleep Apnea Severity During Wakefulness via Tracheal Breathing Sound AnalysisAli Mohammad Alqudah, Zahra Moussavi
Scientific Reports|August 22, 2022
A lightweight hybrid deep learning system for cardiac valvular disease classificationYazan Al-Issa, Ali Mohammad Alqudah
Soft Computing|October 3, 2022
Deep learning models for detecting respiratory pathologies from raw lung auscultation soundsAli Mohammad Alqudah, Shoroq Qazan, Yusra M Obeidat
Journal of Clinical Medicine|February 13, 2026
Interpretable Acoustic Features from Wakefulness Tracheal Breathing for OSA Severity AssessmentAli Mohammad Alqudah, Walid Ashraf, Brian Lithgow, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Medical & 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 Alqudah
Journal of Medical Engineering & Technology|November 27, 2019
Towards classifying non-segmented heart sound records using instantaneous frequency based featuresAli Mohammad Alqudah
Journal of Medical Engineering & Technology|October 7, 2017
An enhanced method for real-time modelling of cardiac related biosignals using Gaussian mixturesAli Mohammad Alqudah
Diagnostics (Basel, Switzerland)|February 13, 2026
Awake Insights for Obstructive Sleep Apnea: Severity Detection Using Tracheal Breathing Sounds and Meta-Model AnalysisAli Mohammad Alqudah, Zahra Moussavi
Health Information Science and Systems|November 25, 2025
A multimodal approach for cardiac signals classification using deep learning with explainable AI methodsAli Mohammad Alqudah, Ausilah Alfraihat
Journal of Medical Engineering & Technology|March 26, 2021
Sliding window based deep ensemble system for breast cancer classificationAmin Alqudah, Ali Mohammad Alqudah
Sensors (Basel, Switzerland)|October 29, 2025
Assessing Obstructive Sleep Apnea Severity During Wakefulness via Tracheal Breathing Sound AnalysisAli Mohammad Alqudah, Zahra Moussavi
Scientific Reports|August 22, 2022
A lightweight hybrid deep learning system for cardiac valvular disease classificationYazan Al-Issa, Ali Mohammad Alqudah
Soft Computing|October 3, 2022
Deep learning models for detecting respiratory pathologies from raw lung auscultation soundsAli Mohammad Alqudah, Shoroq Qazan, Yusra M Obeidat
Journal of Clinical Medicine|February 13, 2026
Interpretable Acoustic Features from Wakefulness Tracheal Breathing for OSA Severity AssessmentAli Mohammad Alqudah, Walid Ashraf, Brian Lithgow, et al.
Pageof 2