Archives of Neuroscience
Scopus by Title (Ref)
1. Multichannel machine learning for polysomnographic diagnosis of obstructive sleep apnea: a Bayesian meta-analysis
- Rani S. , et al.
2. Detection of anomalies in physiological signals using artificial neural network
- Jayashree K. , et al.
3. Artificial Intelligence in Sleep Apnea Detection: A Review
- Hannachi C. , et al.
4. Heuristic Deep Learning Framework for EEG-based Sleep Apnea Event Classification
- Band N.C. , et al.
5. HAMCE-Net: Heterogeneity-Aware Multimodal Cross-Epoch Network for Sleep Apnea Detection
- Tian S. , et al.
6. AI-driven bone mineral density prediction from chest x-rays and its association with obstructive sleep apnea
- Tsai H.L. , et al.
7. Sleep Apnea Detection Using EEG: A Systematic Review of Datasets, Methods, Challenges, and Future Directions
- Fathima S. , et al.
8. Optimizing Brain Tumor Diagnosis Through Hybrid Deep Learning and Multi-Modal Image Integration
- Mehta S. , et al.
9. Automated Classification of Sleep Apnea Types Using CNNs and SVMs on Physiological Data
- Mehta S. , et al.
10. A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events
- Babaei A.F. , et al.
11. Deep Learning and Machine Learning Fusion for Sleep Apnea Diagnosis and Classification
- Mehta S. , et al.
12. An Artificial Intelligence-Based Non-Invasive Approach for Cardiovascular Disease Risk Stratification in Obstructive Sleep Apnea Patients: A Narrative Review
- Saba L. , et al.
13. Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection
- Jiao M. , et al.