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ORCIDMohanad Alkhodari
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2020 – today
- 2025
[j13]Ghada Alhussein
, Mohanad Alkhodari, Ahsan H. Khandoker, Leontios J. Hadjileontiadis:
Novel Speech-Based Emotion Climate Recognition in Peers' Conversations Incorporating Affect Dynamics and Temporal Convolutional Neural Networks. IEEE Access 13: 16752-16769 (2025)- 2024
- [j12]Mohanad Alkhodari, Ahsan H. Khandoker, Herbert F. Jelinek, Angelos Karlas, Stergios Soulaidopoulos, Petros Arsenos, Ioannis Doundoulakis, Konstantinos A. Gatzoulis, Konstantinos Tsioufis, Leontios J. Hadjileontiadis:
Circadian assessment of heart failure using explainable deep learning and novel multi-parameter polar images. Comput. Methods Programs Biomed. 248: 108107 (2024) - [j11]Mohanad Alkhodari, Leontios J. Hadjileontiadis, Ahsan H. Khandoker:
Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and Phonocardiograms. IEEE J. Biomed. Health Informatics 28(4): 1803-1814 (2024) - [c21]Turkay Kart, Mohanad Alkhodari, Winok Lapidaire, Abhirup Banerjee, Adam J. Lewandowski, Paul Leeson:
Deep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures. BIBM 2024: 1542-1547 - [c20]Ghada Alhussein, Mohanad Alkhodari, Shiza Saleem, Efstratia Ganiti-Roumeliotou, Leontios J. Hadjileontiadis:
EmoNet: Deep Learning-based Emotion Climate Recognition Using Peers' Conversational Speech, Affect Dynamics, and Physiological Data. EMBC 2024: 1-4 - [c19]Ghada Alhussein, Mohanad Alkhodari, Hessa Alfalahi, Aamna Alshehhi, Leontios J. Hadjileontiadis:
Deep bispectral Image Analysis for speech-based Conversational Emotional Climate Recognition. PETRA 2024 - 2023
- [c18]Mohanad Alkhodari, Winok Lapidaire, Zhaohan Xiong, Turkay Kart, Yasser Iturria-Medina, Leontios J. Hadjileontiadis, Ahsan Khandoker, Adam J. Lewandowski, Abhirup Banerjee, Paul Leeson:
HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning. BIBM 2023: 1886-1889 - [c17]Murad Almadani, Mohanad Alkhodari, Samit Kumar Ghosh, Ahsan H. Khandoker:
FHSU-NETR: Transformer-Based Deep Learning Model for the Detection of Fetal Heart Sounds in Phonocardiography. CinC 2023: 1-4 - [c16]Mostafa Moussa, Hessa Alfalahi, Mohanad Alkhodari, Leontios J. Hadjileontiadis, Ahsan Khandoker:
Random Forest and Attention-Based Networks in Quantifying Neurological Recovery. CinC 2023: 1-4 - [c15]Ghada Alhussein, Mohanad Alkhodari, Charalampos Lamprou, Ioannis Ziogas, Efstratia Ganiti-Roumeliotou, Ahsan Khandoker, Leontios J. Hadjileontiadis:
Emotional Climate Recognition in Conversations using Peers' Speech-based Bispectral Features and Affect Dynamics. EMBC 2023: 1-5 - [c14]Mohanad Alkhodari, Leontios J. Hadjileontiadis, Herbert F. Jelinek, Ahsan H. Khandoker:
Heart Failure Assessment Using Multiparameter Polar Representations and Deep Learning. EMBC 2023: 1-4 - [c13]Md Hassanuzzaman, Nurul Akhtar Hasan, Mohammad Abdullah-Al-Mamun, Mohanad Alkhodari, Khawza I. Ahmed, Ahsan H. Khandoker, Raqibul Mostafa:
Recognition of Pediatric Congenital Heart Diseases by Using Phonocardiogram Signals and Transformer-Based Neural Networks. EMBC 2023: 1-4 - [c12]Ghada Alhussein, Mohanad Alkhodari, Ahsan H. Khandoker, Leontios J. Hadjileontiadis:
Deep Bispectral Analysis of Conversational Speech Towards Emotional Climate Recognition. IICAIET 2023: 170-175 - [c11]Mohanad Alkhodari, Murad Almadani, Samit Kumar Ghosh, Ahsan H. Khandoker:
Fhsu-Net: Deep Learning-Based Model for the Extraction of Fetal Heart Sounds in Abdominal Phonocardiography. MLSP 2023: 1-6 - 2022
- [j10]Mohammad Fraiwan, Luay Fraiwan, Mohanad Alkhodari, Omnia Hassanin:
Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory. J. Ambient Intell. Humaniz. Comput. 13(10): 4759-4771 (2022) - [j9]Salam Dhou, Mohanad Alkhodari, Dan Ionascu, Christopher Williams, John H. Lewis:
Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility Study. J. Imaging 8(2): 17 (2022) - [c10]Mohanad Alkhodari, Syafiq Kamarul Azman, Leontios J. Hadjileontiadis, Ahsan H. Khandoker:
Ensemble Transformer-Based Neural Networks Detect Heart Murmur in Phonocardiogram Recordings. CinC 2022: 1-4 - [c9]Shiza Saleem, Mohanad Alkhodari, Leontios J. Hadjileontiadis, Ahsan H. Khandoker, Herbert F. Jelinek:
Effects of Beta-Blocker on Heart Rate Variability in Heart Failure with Preserved Ejection Fraction. CinC 2022: 1-4 - [c8]Ghada Alhussein, Mohanad Alkhodari, Ahsan Khandokher, Leontios J. Hadjileontiadis:
Emotional Climate Recognition in Interactive Conversational Speech Using Deep Learning. ICDH 2022: 96-103 - 2021
- [j8]Mohanad Alkhodari, Mamunur Rashid, Mohammad Abdul Mukit, Khawza I. Ahmed, Raqibul Mostafa, Sharmin Parveen, Ahsan H. Khandoker:
Screening Cardiovascular Autonomic Neuropathy in Diabetic Patients With Microvascular Complications Using Machine Learning: A 24-Hour Heart Rate Variability Study. IEEE Access 9: 119171-119187 (2021) - [j7]Mohanad Alkhodari, Herbert F. Jelinek, Shiza Saleem, Leontios J. Hadjileontiadis, Ahsan H. Khandoker:
Revisiting Left Ventricular Ejection Fraction Levels: A Circadian Heart Rate Variability-Based Approach. IEEE Access 9: 130111-130126 (2021) - [j6]Mohanad Alkhodari, Luay Fraiwan:
Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings. Comput. Methods Programs Biomed. 200: 105940 (2021) - [j5]Mohanad Alkhodari, Amer Zakaria, Nasser Qaddoumi:
Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study. Sensors 21(21): 7078 (2021) - [j4]Mohanad Alkhodari, Herbert F. Jelinek, Naoufel Werghi, Leontios J. Hadjileontiadis, Ahsan H. Khandoker:
Estimating Left Ventricle Ejection Fraction Levels Using Circadian Heart Rate Variability Features and Support Vector Regression Models. IEEE J. Biomed. Health Informatics 25(3): 746-754 (2021) - [c7]Mohanad Alkhodari, Georgios K. Apostolidis, Herbert F. Jelinek, Leontios J. Hadjileontiadis, Ahsan H. Khandoker:
Prediction of LVEF using BiLSTM and Swarm Decomposition-based 24-h HRV Components. CISP-BMEI 2021: 1-5 - [c6]Mohanad Alkhodari, Georgios K. Apostolidis, Charilaos A. Zisou, Leontios J. Hadjileontiadis, Ahsan H. Khandoker:
Swarm Decomposition Enhances the Discrimination of Cardiac Arrhythmias in Varied-Lead ECG Using ResNet-BiLSTM Network Activations. CinC 2021: 1-4 - 2020
- [j3]Luay Fraiwan, Mohanad Alkhodari:
Classification of Focal and Non-Focal Epileptic Patients Using Single Channel EEG and Long Short-Term Memory Learning System. IEEE Access 8: 77255-77262 (2020) - [j2]Mohanad Alkhodari, Deema K. Islayem, Feryal A. Alskafi, Ahsan H. Khandoker:
Predicting Hypertensive Patients With Higher Risk of Developing Vascular Events Using Heart Rate Variability and Machine Learning. IEEE Access 8: 192727-192739 (2020) - [j1]Luay Fraiwan, Mohanad Alkhodari:
Neonatal sleep stage identification using long short-term memory learning system. Medical Biol. Eng. Comput. 58(6): 1383-1391 (2020) - [c5]Mohanad Alkhodari, Leontios J. Hadjileontiadis, Ahsan H. Khandoker:
Identification of Cardiac Arrhythmias From 12-lead ECG Using Beat-wise Analysis and a Combination of CNN and LSTM. CinC 2020: 1-4 - [c4]Mohanad Alkhodari, Herbert F. Jelinek, Naoufel Werghi, Leontios J. Hadjileontiadis, Ahsan H. Khandoker:
Investigating Circadian Heart Rate Variability in Coronary Artery Disease Patients with Various Degrees of Left Ventricle Ejection Fraction. EMBC 2020: 714-717 - [c3]Mohanad Alkhodari, Amer Zakaria, Nasser Qaddoumi:
Image Classification in Microwave Tomography using a Parametric Intensity Model. ICCSPA 2020: 1-4 - [c2]Mohanad Alkhodari, Omnia Hassanin, Salam Dhou:
A Comparative Study of Meningioma Tumors Segmentation Methods from MR Images. ICSPIS 2020: 1-4
2010 – 2019
- 2018
- [c1]Mohanad Alkhodari, Abdelrahman Rashed, Meera Alex, Nai-Shyong Yeh:
Fetal ECG Extraction Using Independent Components and Characteristics Matching. ICSPIS 2018: 1-4
Coauthor Index
aka: Ahsan Khandoker
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