Mohanad Alkhodari
Orcid: 0000-0002-5248-6327
According to our database1,
Mohanad Alkhodari
authored at least 31 papers
between 2018 and 2024.
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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
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
Proceedings of the 14th International Congress on Image and Signal Processing, 2021
2020
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
Proceedings of the 3rd International Conference on Signal Processing and Information Security, 2020
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
Proceedings of the International Conference on Signal Processing and Information Security, 2018