Publications — Radcliffe Department of Medicine

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Temporal Patterns of Pre- and Post-Natal Target Organ Damage Associated Wih Hypertensive Pregnancy: A Systematic Review.

Cutler HR. et al, (2023), Eur J Prev Cardiol

Modelling Relations Between Blood Pressure, Cardiovascular Phenotype and Clinical Factors Using Large Scale Imaging Data.

Kart T. et al, (2023), European Heart Journal - Cardiovascular Imaging

The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare.

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.

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

Alhussein G. et al, (2023)

Novel Speech-Based Emotion Climate Recognition in Peers’ Conversations Incorporating Affect Dynamics and Temporal Convolutional Neural Networks

Alhussein G. et al, (2023)

A two-step pre-processing tool to remove Gaussian and ectopic noise for heart rate variability analysis.

Saleem S. et al, (2022), Sci Rep, 12

Deep learning identifies cardiac coupling between mother and fetus during gestation

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.

Rashid M. et al, (2022), J Clin Med, 11

Using prior information to enhance microwave tomography images in bone health assessment.

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.

Dhou S. et al, (2022), J Imaging, 8

Association between maternal-fetal cardiac coupling strengths with maternal and fetal parameters

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.

Alkhodari M. and Khandoker AH., (2022), PLoS One, 17

Effects of Beta-Blocker on Heart Rate Variability in Heart Failure with Preserved Ejection Fraction

Saleem S. et al, (2022), Computing in Cardiology, 2022-September

Emotional Climate Recognition in Interactive Conversational Speech Using Deep Learning

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

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.

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.

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

Alkhodari M. et al, (2021), Frontiers in Cardiovascular Medicine

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

Alkhodari M. et al, (2021), Sensors (Basel), 21

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