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  3. Archives of Neuroscience
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  5. Systematic Review of Detecting Sleep Apnea Using Artificial Intelligence: An Insight to Convolutional Neural Network Method
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Archives of Neuroscience

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Scopus by Title (Ref)


1. AI-driven bone mineral density prediction from chest x-rays and its association with obstructive sleep apnea

- Tsai H.L. , et al.

2. Sleep Apnea Detection Using EEG: A Systematic Review of Datasets, Methods, Challenges, and Future Directions

- Fathima S. , et al.

3. Optimizing Brain Tumor Diagnosis Through Hybrid Deep Learning and Multi-Modal Image Integration

- Mehta S. , et al.

4. Multichannel machine learning for polysomnographic diagnosis of obstructive sleep apnea: a bayesian meta-analysis

- Rani S. , et al.

5. Automated Classification of Sleep Apnea Types Using CNNs and SVMs on Physiological Data

- Mehta S. , et al.

6. A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events

- Babaei A.F. , et al.

7. Deep Learning and Machine Learning Fusion for Sleep Apnea Diagnosis and Classification

- Mehta S. , et al.

8. An Artificial Intelligence-Based Non-Invasive Approach for Cardiovascular Disease Risk Stratification in Obstructive Sleep Apnea Patients: A Narrative Review

- Saba L. , et al.

9. Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection

- Jiao M. , et al.

10. A Comparative Study of CNN and SVM for Sleep Apnea Classification: Evaluating Performance and Efficiency

- Baresary D. , et al.

11. A deep learning algorithm model to automatically score and grade obstructive sleep apnea in adult polysomnography

- Park M.J. , et al.

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