Mohanad Alkhodari

Orcid: 0000-0002-5248-6327

According to our database1, Mohanad Alkhodari authored at least 31 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and Phonocardiograms.
IEEE J. Biomed. Health Informatics, April, 2024

Circadian assessment of heart failure using explainable deep learning and novel multi-parameter polar images.
Comput. Methods Programs Biomed., 2024

Deep bispectral Image Analysis for speech-based Conversational Emotional Climate Recognition.
Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024

2023
Fhsu-Net: Deep Learning-Based Model for the Extraction of Fetal Heart Sounds in Abdominal Phonocardiography.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Deep Bispectral Analysis of Conversational Speech Towards Emotional Climate Recognition.
Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2023

Recognition of Pediatric Congenital Heart Diseases by Using Phonocardiogram Signals and Transformer-Based Neural Networks.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Heart Failure Assessment Using Multiparameter Polar Representations and Deep Learning.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Emotional Climate Recognition in Conversations using Peers' Speech-based Bispectral Features and Affect Dynamics.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Random Forest and Attention-Based Networks in Quantifying Neurological Recovery.
Proceedings of the Computing in Cardiology, 2023

FHSU-NETR: Transformer-Based Deep Learning Model for the Detection of Fetal Heart Sounds in Phonocardiography.
Proceedings of the Computing in Cardiology, 2023

HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility Study.
J. Imaging, 2022

Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory.
J. Ambient Intell. Humaniz. Comput., 2022

Emotional Climate Recognition in Interactive Conversational Speech Using Deep Learning.
Proceedings of the IEEE International Conference on Digital Health, 2022

Effects of Beta-Blocker on Heart Rate Variability in Heart Failure with Preserved Ejection Fraction.
Proceedings of the Computing in Cardiology, 2022

Ensemble Transformer-Based Neural Networks Detect Heart Murmur in Phonocardiogram Recordings.
Proceedings of the Computing in Cardiology, 2022

2021
Estimating Left Ventricle Ejection Fraction Levels Using Circadian Heart Rate Variability Features and Support Vector Regression Models.
IEEE J. Biomed. Health Informatics, 2021

Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study.
Sensors, 2021

Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings.
Comput. Methods Programs Biomed., 2021

Screening Cardiovascular Autonomic Neuropathy in Diabetic Patients With Microvascular Complications Using Machine Learning: A 24-Hour Heart Rate Variability Study.
IEEE Access, 2021

Revisiting Left Ventricular Ejection Fraction Levels: A Circadian Heart Rate Variability-Based Approach.
IEEE Access, 2021

Swarm Decomposition Enhances the Discrimination of Cardiac Arrhythmias in Varied-Lead ECG Using ResNet-BiLSTM Network Activations.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Prediction of LVEF using BiLSTM and Swarm Decomposition-based 24-h HRV Components.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2020
Neonatal sleep stage identification using long short-term memory learning system.
Medical Biol. Eng. Comput., 2020

Classification of Focal and Non-Focal Epileptic Patients Using Single Channel EEG and Long Short-Term Memory Learning System.
IEEE Access, 2020

Predicting Hypertensive Patients With Higher Risk of Developing Vascular Events Using Heart Rate Variability and Machine Learning.
IEEE Access, 2020

A Comparative Study of Meningioma Tumors Segmentation Methods from MR Images.
Proceedings of the 3rd International Conference on Signal Processing and Information Security, 2020

Image Classification in Microwave Tomography using a Parametric Intensity Model.
Proceedings of the International Conference on Communications, 2020

Investigating Circadian Heart Rate Variability in Coronary Artery Disease Patients with Various Degrees of Left Ventricle Ejection Fraction.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Identification of Cardiac Arrhythmias From 12-lead ECG Using Beat-wise Analysis and a Combination of CNN and LSTM.
Proceedings of the Computing in Cardiology, 2020

2018
Fetal ECG Extraction Using Independent Components and Characteristics Matching.
Proceedings of the International Conference on Signal Processing and Information Security, 2018


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