Search Results - "Alkhodari, Mohanad"

Enhancing CCTA image quality: a review of deep learning approaches for advanced artifact correction and denoising.

Authors: Alkhodari, Mohanad Alefisha, Eman Jelinek, Herbert F. et al.

Source: Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-67, 67p

Correction: Enhancing CCTA image quality: a review of deep learning approaches for advanced artifact correction and denoising.

Authors: Alkhodari, Mohanad Alefishat, Eman Jelinek, Herbert F. et al.

Source: Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-1, 1p

Oscillatory components of bidirectional cardio-respiratory coupling in depression and suicidal ideation: insights from swarm decomposition and entropy analysis.

Authors: Jelinek, Herbert F. Alkhodari, Mohanad Khandoker, Ahsan H. et al.

Source: Frontiers in Network Physiology. 2025, p1-17. 17p.

Early administration of renin–angiotensin system inhibitors improves survival and cardiac remodeling in heart failure with preserved ejection fraction.

Authors: Kono, Yuka Sonoda, Kunihiro Ohtake, Kazuo et al.

Source: PLoS ONE. 3/12/2026, Vol. 21 Issue 3, p1-16. 16p.

Emotional Climate Recognition in Speech‐Based Conversations: Leveraging Deep Bispectral Image Analysis and Affect Dynamics.

Authors: Alhussein, Ghada Alkhodari, Mohanad Saleem, Shiza et al.

Source: Expert Systems; Nov2025, Vol. 42 Issue 11, p1-18, 18p

Prediction of fetal RR intervals from maternal factors using machine learning models.

Authors: Widatalla, Namareq Alkhodari, Mohanad Koide, Kunihiro et al.

Source: Scientific Reports. 11/13/2023, Vol. 13 Issue 1, p1-9. 9p.

Machine Learning Identifies the Emotion Climate During Naturalistic Conversations Using Speech Features and Affect Dynamics.

Authors: Alhussein, Ghada Alkhodari, Mohanad Hadjileontiadis, Leontios J. et al.

Source: Human Behavior & Emerging Technologies; 8/1/2025, Vol. 2025, p1-23, 23p

Using prior information to enhance microwave tomography images in bone health assessment.

Authors: Alkhodari, Mohanad Zakaria, Amer Qaddoumi, Nasser

Source: BioMedical Engineering OnLine. 2/2/2022, Vol. 21 Issue 1, p1-22. 22p.

A study protocol to characterise pathophysiological and molecular markers of rheumatic heart disease and degenerative aortic stenosis using multiparametric cardiovascular imaging and multiomics techniques.

Authors: Mutithu, Daniel W. Aremu, Olukayode O. Mokaila, Dipolelo et al.

Source: PLoS ONE. 5/13/2024, Vol. 19 Issue 5, p1-19. 19p.

Diabetic foot ulcer mobile detection system using smart phone thermal camera: a feasibility study.

Authors: Fraiwan, Luay AlKhodari, Mohanad Ninan, Jolu et al.

Source: BioMedical Engineering OnLine. 10/3/2017, Vol. 16, p1-19. 19p.

Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool.

Authors: Alkhodari, Mohanad Khandoker, Ahsan H.

Source: PLoS ONE. 1/13/2022, Vol. 17 Issue 1, p1-25. 25p.

Neonatal sleep stage identification using long short-term memory learning system.

Authors: Fraiwan, Luay Alkhodari, Mohanad

Source: Medical & Biological Engineering & Computing; Jun2020, Vol. 58 Issue 6, p1383-1391, 9p, 2 Diagrams, 4 Charts, 1 Graph

Estimating Left Ventricle Ejection Fraction Levels Using Circadian Heart Rate Variability Features and Support Vector Regression Models.

Authors: Alkhodari, Mohanad Jelinek, Herbert F. Werghi, Naoufel et al.

Source: IEEE Journal of Biomedical & Health Informatics; Mar2021, Vol. 25 Issue 3, p746-754, 9p

Exploring emotional climate recognition in peer conversations through bispectral features and affect dynamics.

Authors: Alhussein, Ghada Alkhodari, Mohanad Ziogas, Ioannis et al.

Source: Computer Methods & Programs in Biomedicine; Jun2025, Vol. 265, pN.PAG-N.PAG, 1p

Investigating the effects of beta-blockers on circadian heart rhythm using heart rate variability in ischemic heart disease with preserved ejection fraction.

Authors: Saleem, Shiza Khandoker, Ahsan H. Alkhodari, Mohanad et al.

Source: Scientific Reports. 4/10/2023, Vol. 13 Issue 1, p1-14. 14p.

Classification of data on stacked autoencoder using modified sigmoid activation function.

Authors: Kumar, Arvind Sodhi, Sartaj Singh

Source: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 44 Issue 1, p1-18, 18p

A two-step pre-processing tool to remove Gaussian and ectopic noise for heart rate variability analysis.

Authors: Saleem, Shiza Khandoker, Ahsan H. Alkhodari, Mohanad et al.

Source: Scientific Reports. 11/1/2022, Vol. 12 Issue 1, p1-15. 15p.

Circadian assessment of heart failure using explainable deep learning and novel multi-parameter polar images.

Authors: Alkhodari, Mohanad Khandoker, Ahsan H. Jelinek, Herbert F. et al.

Source: Computer Methods & Programs in Biomedicine; May2024, Vol. 248, pN.PAG-N.PAG, 1p

Investigating automated regression models for estimating left ventricular ejection fraction levels in heart failure patients using circadian ECG features.

Authors: Al Younis, Sona M. Hadjileontiadis, Leontios J. Al Shehhi, Aamna M. et al.

Source: PLoS ONE. 12/11/2023, Vol. 18 Issue 12, p1-24. 24p.

Machine Learning for Screening Microvascular Complications in Type 2 Diabetic Patients Using Demographic, Clinical, and Laboratory Profiles.

Authors: Rashid, Mamunur Alkhodari, Mohanad Mukit, Abdul et al.

Source: Journal of Clinical Medicine. Feb2022, Vol. 11 Issue 4, pN.PAG-N.PAG. 1p.