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Search results (82)

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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

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

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

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

DEEP BISPECTRAL IMAGE ANALYSIS FOR SPEECH-BASED CONVERSATIONAL EMOTIONAL CLIMATE RECOGNITION

Alhussein G. et al, (2024), ACM International Conference Proceeding Series, 576 - 581

Circadian assessment of heart failure using explainable deep learning and novel multi-parameter polar images.

Alkhodari M. et al, (2024), Comput Methods Programs Biomed, 248

Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and Phonocardiograms.

Alkhodari M. et al, (2024), IEEE J Biomed Health Inform, 28, 1803 - 1814

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