Next: A system for real-world development, evaluation, and application of active learning KG Jamieson, L Jain, C Fernandez, NJ Glattard, R Nowak Advances in neural information processing systems 28, 2015 | 79 | 2015 |
Sleep Apnea: A Review of Diagnostic Sensors, Algorithms, and Therapies M Shokoueinejad, C Fernandez, E Carroll, F Wang, J Levin, S Rusk, ... Physiological measurement 38 (9), R204, 2017 | 67 | 2017 |
Artificial intelligence and sleep: Advancing sleep medicine NF Watson, CR Fernandez Sleep medicine reviews 59, 101512, 2021 | 25 | 2021 |
EEG-Based Deep Neural Network Model for Brain Age Prediction and Its Association with Patient Health Conditions Y Nygate, S Rusk, C Fernandez, N Glattard, J Arguelles, J Shi, D Hwang, ... Sleep 44 (Supplement_2), A214-A214, 2021 | 8 | 2021 |
Computational Phenotyping In Polysomnography: Using Interpretable Physiology-Based Machine Learning Models To Predict Health Outcomes C Fernandez, S Rusk, N Glattard, M Shokoueinejad Journal of Sleep and Sleep Disorders Research 40 (suppl_1), A26-A26, 2017 | 5 | 2017 |
A Modeling Study on Inspired CO2 Rebreathing Device for Sleep Apnea Treatment by Means of CFD Analysis and Experiment M Shokoueinejad, A Pazouki, J Levin, F Wang, C Fernandez, S Rusk, ... Journal of Medical and Biological Engineering 37 (2), 288-297, 2017 | 4 | 2017 |
Clinical Validation of AI Scoring in Adult and Pediatric Clinical PSG Samples Compared to Prospective, Double-Blind Scoring Panel C Fernandez, S Rusk, N Glattard, Y Nygate, F Turkington, N Watson Sleep 44 (Supplement_2), A161-A161, 2021 | 2 | 2021 |
Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity C Fernandez, S Rusk, N Glattard, D Piper, J Solis, B Hensen, N Orr, ... Sleep 42 (Supplement_1), A375-A375, 2019 | 2 | 2019 |
POGO: Pulse Oximetry, On the Go C Fernandez, O Rice, R Sufi, N Glattard Department of Biomedical Engineering, University of Wisconsin-Madison …, 2013 | 2* | 2013 |
Artificial Intelligence to Aid in Diagnosis of Type I Narcolepsy Y Nygate, S Rusk, C Fernandez, Z Winzurk, E Wickwire, E Mignot, ... Sleep 46 (Supplement_1), A252-A252, 2023 | 1 | 2023 |
Dynamic Phenotype Learning: A Novel Machine Learning Approach To Develop And Discover New OSA Sub-Types C Fernandez, S Rusk, Y Nygate, N Glattard, J Arguelles, J Shi, D Hwang Sleep 44 (Supplement_2), A162-A163, 2021 | 1 | 2021 |
Redefining Positive Airway Pressure Adherence Phenotypes Utilizing Deep Neural Networks and Unsupervised Clustering Y Nygate, S Rusk, C Fernandez, N Glattard, N Watson, W Hevener, ... Sleep 44 (Supplement_2), A182-A182, 2021 | 1 | 2021 |
Computational Phenotyping In CPAP Therapy: Using Interpretable Physiology-Based Machine Learning Models To Predict Therapeutic CPAP Pressures D Munafo, B Hevener, W Hevener, S Clark, J Goe, C Fernandez, S Rusk, ... Sleep 42 (Supplement_1), A217-A217, 2019 | 1 | 2019 |
A Cross-Validation Approach to Inter-scorer Reliability Assessment C Fernandez, S Rusk, N Glattard, B Hensen, M Shokoueinejad, S Creado, ... Sleep 41 (suppl_1), A122-A123, 2018 | 1 | 2018 |
Sleep Architecture Associations with Brain Age: A Multi-Site Model Validation DH Thomas J Vanasse, Samuel Rusk, Yoav Nygate, Chris Fernandez, Jiaxiao M ... Sleep 46 (Issue Supplement_1), Pages A40–A41, 2023 | | 2023 |
Deep Learning Classification of Future PAP Adherence based on CMS and other Adherence Criteria DH Samuel Rusk, Yoav Nygate, Chris Fernandez, Jiaxiao M Shi, Jessica ... Sleep 46 (Issue Supplement_1), Page A206, 2023 | | 2023 |
Use of Artificial Intelligence for Early Characterization of Patients with RBD/RWA J Herdegen, J Cataline, Y Nygate, J Gu, N Witek, C Fernandez, N Watson Sleep 46 (Supplement_1), A396-A396, 2023 | | 2023 |
Deep Learning to Predict PAP Adherence in Obstructive Sleep Apnea S Rusk, Y Nygate, C Fernandez, JM Shi, J Arguelles, MT Klimper, ... Sleep 46 (Supplement_1), A206-A206, 2023 | | 2023 |
Polysomnography Following an Indeterminate HSAT: Low Compliance with AASM Guidelines Y Nygate, S Rusk, F Turkington, C Fernandez, N Glattard, M Sprague, ... SLEEP 45, A166-A166, 2022 | | 2022 |
Impact of OSA Therapy on Healthcare Economics: Actuarial Analysis of OSA Prevalence, Therapy Adherence, Co-morbidity, and Costs in a Large CMS Population Cohort C Fernandez, S Rusk, N Glattard, F Turkington, Y Nygate, M Kaiser, ... Sleep 45 (Supplement_1), A31-A32, 2022 | | 2022 |