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Mohanad Alkhodari

Showing results (1-10 of 33) with videos related to

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Computer Methods and Programs in Biomedicine|January 25, 2021
Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordingsMohanad Alkhodari, Luay Fraiwan
Medical & Biological Engineering & Computing|April 14, 2020
Neonatal sleep stage identification using long short-term memory learning systemLuay Fraiwan, Mohanad Alkhodari
Plos One|January 13, 2022
Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning toolMohanad Alkhodari, Ahsan H Khandoker
Sensors (Basel, Switzerland)|November 13, 2021
Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility StudyMohanad Alkhodari, Amer Zakaria, Nasser Qaddoumi
Biomedical Engineering Online|February 3, 2022
Using prior information to enhance microwave tomography images in bone health assessmentMohanad Alkhodari, Amer Zakaria, Nasser Qaddoumi
IEEE Journal of Biomedical and Health Informatics|January 23, 2024
Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and PhonocardiogramsMohanad Alkhodari, Leontios J Hadjileontiadis, Ahsan H Khandoker
Journal of Imaging|February 24, 2022
Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility StudySalam Dhou, Mohanad Alkhodari, Dan Ionascu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
EmoNet: Deep Learning-based Emotion Climate Recognition Using Peers' Conversational Speech, Affect Dynamics, and Physiological DataGhada Alhussein, Mohanad Alkhodari, Shiza Saleem, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Heart Failure Assessment Using Multiparameter Polar Representations and Deep Learning<sup></sup>Mohanad Alkhodari, Leontios J Hadjileontiadis, Herbert F Jelinek, et al.
Frontiers in Network Physiology|October 9, 2025
Oscillatory components of bidirectional cardio-respiratory coupling in depression and suicidal ideation: insights from swarm decomposition and entropy analysisHerbert F Jelinek, Mohanad Alkhodari, Ahsan H Khandoker, et al.
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Showing results (1-10 of 33) with videos related to

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Pageof 4
Computer Methods and Programs in Biomedicine|January 25, 2021
Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordingsMohanad Alkhodari, Luay Fraiwan
Medical & Biological Engineering & Computing|April 14, 2020
Neonatal sleep stage identification using long short-term memory learning systemLuay Fraiwan, Mohanad Alkhodari
Plos One|January 13, 2022
Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning toolMohanad Alkhodari, Ahsan H Khandoker
Sensors (Basel, Switzerland)|November 13, 2021
Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility StudyMohanad Alkhodari, Amer Zakaria, Nasser Qaddoumi
Biomedical Engineering Online|February 3, 2022
Using prior information to enhance microwave tomography images in bone health assessmentMohanad Alkhodari, Amer Zakaria, Nasser Qaddoumi
IEEE Journal of Biomedical and Health Informatics|January 23, 2024
Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and PhonocardiogramsMohanad Alkhodari, Leontios J Hadjileontiadis, Ahsan H Khandoker
Journal of Imaging|February 24, 2022
Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility StudySalam Dhou, Mohanad Alkhodari, Dan Ionascu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
EmoNet: Deep Learning-based Emotion Climate Recognition Using Peers' Conversational Speech, Affect Dynamics, and Physiological DataGhada Alhussein, Mohanad Alkhodari, Shiza Saleem, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Heart Failure Assessment Using Multiparameter Polar Representations and Deep Learning<sup></sup>Mohanad Alkhodari, Leontios J Hadjileontiadis, Herbert F Jelinek, et al.
Frontiers in Network Physiology|October 9, 2025
Oscillatory components of bidirectional cardio-respiratory coupling in depression and suicidal ideation: insights from swarm decomposition and entropy analysisHerbert F Jelinek, Mohanad Alkhodari, Ahsan H Khandoker, et al.
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