Scopus by Title (Ref)
Articles that cite the referenced work, matched by title from the Scopus database.
Accuracy of artificial intelligence–based prediction of moderate-to-severe obstructive sleep apnea using audio signals: A systematic review
Sleep Medicine Reviews
December 2026
Pillion M.
Machine learning techniques in sleep apnea detection: A systematic review
Intelligent Systems with Applications
September 2026
Elfadil N.
Open Access
Multichannel machine learning for polysomnographic diagnosis of obstructive sleep apnea: a Bayesian meta-analysis
European Archives of Oto Rhino Laryngology
April 2026
Rani S.
HAMCE-Net: Heterogeneity-Aware Multimodal Cross-Epoch Network for Sleep Apnea Detection
IEEE Access
2026
Tian S.
Open Access
Artificial Intelligence in Sleep Apnea Detection: A Review
Communications in Computer and Information Science
2026
Hannachi C.
Detection of anomalies in physiological signals using artificial neural network
Cutting Edge Computational Intelligence in Healthcare with Convolution and Kronecker Convolution Based Approaches
1 January 2026
Jayashree K.
Heuristic Deep Learning Framework for EEG-based Sleep Apnea Event Classification
International Research Journal of Multidisciplinary Scope
January 2026
Band N.C.
Open Access
AI-driven bone mineral density prediction from chest x-rays and its association with obstructive sleep apnea
Plos One
September 2025
Tsai H.L.
Open Access
Sleep Apnea Detection Using EEG: A Systematic Review of Datasets, Methods, Challenges, and Future Directions
Annals of Biomedical Engineering
May 2025
Fathima S.
Automated Classification of Sleep Apnea Types Using CNNs and SVMs on Physiological Data
2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2025
2025
Mehta S.
Optimizing Brain Tumor Diagnosis Through Hybrid Deep Learning and Multi-Modal Image Integration
2025 International Conference on Automation and Computation Autocom 2025
2025
Mehta S.
A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events
IEEE Access
2025
Babaei A.F.
Open Access
Deep Learning and Machine Learning Fusion for Sleep Apnea Diagnosis and Classification
2025 International Conference on Automation and Computation Autocom 2025
2025
Mehta S.
An Artificial Intelligence-Based Non-Invasive Approach for Cardiovascular Disease Risk Stratification in Obstructive Sleep Apnea Patients: A Narrative Review
Reviews in Cardiovascular Medicine
December 2024
Saba L.
Open Access
Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection
IEEE Open Journal of Engineering in Medicine and Biology
2024
Jiao M.
Open Access
A Comparative Study of CNN and SVM for Sleep Apnea Classification: Evaluating Performance and Efficiency
2024 Global Conference on Communications and Information Technologies Gccit 2024
2024
Baresary D.
A deep learning algorithm model to automatically score and grade obstructive sleep apnea in adult polysomnography
Digital Health
January-December 2024
Park M.J.
Open Access