Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Search results (85)

« Back to Publications

Applications of artificial intelligence and computational approaches to imaging for hypertension identification, phenotyping, and outcome prediction: a systematic review.

Alkhodari M. et al, (2026), Eur Heart J Digit Health, 7

Bidirectional coupling of physiology and emotions reveals unique speaker-listener dynamics.

Alkhodari M. et al, (2026), Soc Cogn Affect Neurosci

Correction: Enhancing CCTA image quality: a review of deep learning approaches for advanced artifact correction and denoising (Artificial Intelligence Review, (2025), 58, 10, (331), 10.1007/s10462-025-11311-w)

Alkhodari M. et al, (2025), Artificial Intelligence Review, 58

Emotional Climate Recognition in Speech-Based Conversations: Leveraging Deep Bispectral Image Analysis and Affect Dynamics

Alhussein G. et al, (2025), Expert Systems, 42

Enhancing CCTA image quality: a review of deep learning approaches for advanced artifact correction and denoising

Alkhodari M. et al, (2025), Artificial Intelligence Review, 58

Exploring emotional climate recognition in peer conversations through bispectral features and affect dynamics.

Alhussein G. et al, (2025), Comput Methods Programs Biomed, 265

Extraction of fetal heartbeat locations in abdominal phonocardiograms using deep attention transformer.

Almadani MM. et al, (2025), Comput Biol Med, 189

Emotional Climate Recognition in Speech-based Conversations: Leveraging Deep Bispectral Image Analysis and Affect Dynamics

Alhussein G. et al, (2025)

Oscillatory components of bidirectional cardio-respiratory coupling in depression and suicidal ideation: insights from swarm decomposition and entropy analysis.

Jelinek HF. et al, (2025), Front Netw Physiol, 5

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

Alhussein G. et al, (2025), IEEE Access, 13, 16752 - 16769

Pattern-based assessment of the association of fetal heart variability with fetal development and maternal heart rate variability

Widatalla N. et al, (2025), IEEE Access

Machine Learning Identifies the Emotion Climate During Naturalistic Conversations Using Speech Features and Affect Dynamics

Alhussein G. et al, (2025), Human Behavior and Emerging Technologies, 2025

Global diastology index: a novel and personalised diastolic function score derived by machine learning from 33104 echocardiograms and validated against invasive haemodynamics

Fletcher A. et al, (2025), EUROPEAN HEART JOURNAL, 46

Multi-Organ Phenotypes of Offspring Born Following Hypertensive Disorders of Pregnancy: A Systematic Review.

Sattwika PD. et al, (2024), J Am Heart Assoc, 13

EmoNet: Deep Learning-based Emotion Climate Recognition Using Peers' Conversational Speech, Affect Dynamics, and Physiological Data.

Alhussein G. et al, (2024), Annu Int Conf IEEE Eng Med Biol Soc, 2024, 1 - 4

Load More

1
2
3
4
5
6