M. Brandon Westover
Orcid: 0000-0003-4803-312X
According to our database1,
M. Brandon Westover
authored at least 87 papers
between 2002 and 2024.
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Bibliography
2024
An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains.
CoRR, 2024
Annotation of Sleep Depth Index with Scalable Deep Learning Yields Novel Digital Biomarkers for Sleep Health.
CoRR, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Int. J. Medical Informatics, December, 2023
Classification of neurologic outcomes from medical notes using natural language processing.
Expert Syst. Appl., 2023
ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023.
Proceedings of the Computing in Cardiology, 2023
2022
Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning.
IEEE Trans. Biomed. Eng., 2022
Automated Scoring of Respiratory Events in Sleep With a Single Effort Belt and Deep Neural Networks.
IEEE Trans. Biomed. Eng., 2022
npj Digit. Medicine, 2022
Neuroinformatics, 2022
CoRR, 2022
Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study.
Int. J. Neural Syst., 2021
Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis.
Int. J. Neural Syst., 2021
Computational Evidence for a Competitive Thalamocortical Model of Spikes and Spindle Activity in Rolandic Epilepsy.
Frontiers Comput. Neurosci., 2021
Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records.
CoRR, 2021
Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation.
CoRR, 2021
2020
IEEE Trans. Biomed. Eng., 2020
A New Neural Mass Model Driven Method and Its Application in Early Epileptic Seizure Detection.
IEEE Trans. Biomed. Eng., 2020
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks.
Int. J. Neural Syst., 2020
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning.
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Proc. VLDB Endow., 2019
Automated tracking of level of consciousness and delirium in critical illness using deep learning.
npj Digit. Medicine, 2019
A novel neural computational model of generalized periodic discharges in acute hepatic encephalopathy.
J. Comput. Neurosci., 2019
Effects of Cholinergic Neuromodulation on Thalamocortical Rhythms During NREM Sleep: A Model Study.
Frontiers Comput. Neurosci., 2019
Proceedings of the Machine Learning for Healthcare Conference, 2019
Proceedings of the Machine Learning for Healthcare Conference, 2019
Automatic Detection of General Anesthetic-States using ECG-Derived Autonomic Nervous System Features.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Drug-Specific Models Improve the Performance of an EEG-based Automated Brain-State Prediction System.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019.
Proceedings of the 46th Computing in Cardiology, 2019
2018
Electroencephalogram Based Detection of Deep Sedation in ICU Patients Using Atomic Decomposition.
IEEE Trans. Biomed. Eng., 2018
J. Am. Medical Informatics Assoc., 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
EEG CLassification Via Convolutional Neural Network-Based Interictal Epileptiform Event Detection.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Brain Monitoring of Sedation in the Intensive Care Unit Using a Recurrent Neural Network.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 2018 International Conference on Cyberworlds, 2018
Proceedings of the Computing in Cardiology, 2018
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Automated identification of epileptic seizures in EEG signals based on phase space representation and statistical features in the CEEMD domain.
Biomed. Signal Process. Control., 2017
Automated epileptiform spike detection via affinity propagation-based template matching.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Design, implementation, and evaluation of a physiological closed-loop control device for medically-induced coma.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
An open-source tool for the transcription of paper-spreadsheet data: Code and supplemental materials available online: Https: //github.com/deskool/images to spreadsheets.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Clustering analysis to identify distinct spectral components of encephalogram burst suppression in critically ill patients.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
An enhanced cerebral recovery index for coma prognostication following cardiac arrest.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Spatial variation in automated burst suppression detection in pharmacologically induced coma.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
SpikeGUI: Software for rapid interictal discharge annotation via template matching and online machine learning.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping.
ACM Trans. Knowl. Discov. Data, 2013
Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Searching and mining trillions of time series subsequences under dynamic time warping.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Data Min. Knowl. Discov., 2011
2009
Proceedings of the SIAM International Conference on Data Mining, 2009
2008
2006
Proceedings of the 2006 IEEE Information Theory Workshop, 2006
2005
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005
2004
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004
2003
2002
A general framework for neurobiological modeling: an application to the vestibular system.
Neurocomputing, 2002