Temporal Patterns of Pre- and Post-Natal Target Organ Damage Associated Wih Hypertensive Pregnancy: A Systematic Review.
Journal article
Cutler HR. et al, (2023), Eur J Prev Cardiol
Modelling Relations Between Blood Pressure, Cardiovascular Phenotype and Clinical Factors Using Large Scale Imaging Data.
Journal article
Kart T. et al, (2023), European Heart Journal - Cardiovascular Imaging
The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare.
Journal article
Alkhodari M. et al, (2023), Expert Rev Cardiovasc Ther
Investigating the effects of beta-blockers on circadian heart rhythm using heart rate variability in ischemic heart disease with preserved ejection fraction.
Journal article
Saleem S. et al, (2023), Sci Rep, 13
Novel Speech-Based Emotion Climate Recognition in Peers’ Conversations Incorporating Affect Dynamics and Temporal Convolutional Neural Networks
Preprint
Alhussein G. et al, (2023)
Novel Speech-Based Emotion Climate Recognition in Peers’ Conversations Incorporating Affect Dynamics and Temporal Convolutional Neural Networks
Preprint
Alhussein G. et al, (2023)
A two-step pre-processing tool to remove Gaussian and ectopic noise for heart rate variability analysis.
Journal article
Saleem S. et al, (2022), Sci Rep, 12
Deep learning identifies cardiac coupling between mother and fetus during gestation
Journal article
Alkhodari M. et al, (2022), Frontiers in Cardiovascular Medicine
Machine Learning for Screening Microvascular Complications in Type 2 Diabetic Patients Using Demographic, Clinical, and Laboratory Profiles.
Journal article
Rashid M. et al, (2022), J Clin Med, 11
Using prior information to enhance microwave tomography images in bone health assessment.
Journal article
Alkhodari M. et al, (2022), Biomed Eng Online, 21
Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility Study.
Journal article
Dhou S. et al, (2022), J Imaging, 8
Association between maternal-fetal cardiac coupling strengths with maternal and fetal parameters
Conference paper
Alkhodari M. et al, (2022), 2022 12th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2022
Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool.
Journal article
Alkhodari M. and Khandoker AH., (2022), PLoS One, 17
Effects of Beta-Blocker on Heart Rate Variability in Heart Failure with Preserved Ejection Fraction
Conference paper
Saleem S. et al, (2022), Computing in Cardiology, 2022-September
Emotional Climate Recognition in Interactive Conversational Speech Using Deep Learning
Conference paper
Alhussein G. et al, (2022), Proceedings - 2022 IEEE International Conference on Digital Health, ICDH 2022, 96 - 103
Ensemble Transformer-Based Neural Networks Detect Heart Murmur in Phonocardiogram Recordings
Conference paper
Alkhodari M. et al, (2022), Computing in Cardiology, 2022-September
Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory.
Journal article
Fraiwan M. et al, (2022), J Ambient Intell Humaniz Comput, 13, 4759 - 4771
Similarities between maternal and fetal RR interval tachograms and their association with fetal development.
Journal article
Widatalla N. et al, (2022), Front Physiol, 13
Deep Learning Predicts Heart Failure With Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction From Patient Clinical Profiles
Journal article
Alkhodari M. et al, (2021), Frontiers in Cardiovascular Medicine
Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study.
Journal article
Alkhodari M. et al, (2021), Sensors (Basel), 21