M. Brandon Westover

Orcid: 0000-0003-4803-312X

According to our database1, M. Brandon Westover authored at least 83 papers between 2002 and 2023.

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Bibliography

2023
Brain health scores to predict neurological outcomes from electronic health records.
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

Estimating Trustworthy and Safe Optimal Treatment Regimes.
CoRR, 2023

BIOT: Cross-data Biosignal Learning in the Wild.
CoRR, 2023

BIOT: Biosignal Transformer for Cross-data Learning in the Wild.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ManyDG: Many-domain Generalization for Healthcare Applications.
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

Age estimation from sleep studies using deep learning predicts life expectancy.
npj Digit. Medicine, 2022

How Machine Learning is Powering Neuroimaging to Improve Brain Health.
Neuroinformatics, 2022

Mapping the Ictal-Interictal-Injury Continuum Using Interpretable Machine Learning.
CoRR, 2022

Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It.
CoRR, 2022

ATD: Augmenting CP Tensor Decomposition by Self Supervision.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models.
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

Self-supervised EEG Representation Learning for Automatic Sleep Staging.
CoRR, 2021

Augmented Tensor Decomposition with Stochastic Optimization.
CoRR, 2021

Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation.
CoRR, 2021

Automated Respiratory Event Detection Using Deep Neural Networks.
CoRR, 2021

2020
Adaptive Sedation Monitoring From EEG in ICU Patients With Online Learning.
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

CLARA: Clinical Report Auto-completion.
CoRR, 2020

Clinical Report Auto-completion.
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
Smile: A System to Support Machine Learning on EEG Data at Scale.
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

EEGtoText: Learning to Write Medical Reports from EEG Recordings.
Proceedings of the Machine Learning for Healthcare Conference, 2019

SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules.
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

Expert-level sleep scoring with deep neural networks.
J. Am. Medical Informatics Assoc., 2018

HAMLET: Interpretable Human And Machine co-LEarning Technique.
CoRR, 2018

Classifier Cascade to Aid in Detection of Epileptiform Transients in Interictal EEG.
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

A Mean Field Model of Acute Hepatic Encephalopathy.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Rapid Annotation of Seizures and Interictal-ictal Continuum EEG Patterns.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Predicting Ordinal Level of Sedation from the Spectrogram of Electroencephalography.
Proceedings of the 2018 International Conference on Cyberworlds, 2018

You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018.
Proceedings of the Computing in Cardiology, 2018

Personalized Medication Dosing Using Volatile Data Streams.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
SLEEPNET: Automated Sleep Staging System via Deep Learning.
CoRR, 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
Clustering of interictal spikes by dynamic time warping and affinity propagation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Epileptiform spike detection via convolutional neural networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Fast and efficient rejection of background waveforms in interictal EEG.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Heart rate variability as a biomarker for sedation depth estimation in ICU patients.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Personalized Sedation Level Monitoring in ICU Patients Using Heart Rate Variability.
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

Automated information extraction from free-text EEG reports.
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
Sparse Extreme Learning Machine for Classification.
IEEE Trans. Cybern., 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

Safety evaluation of a Medical Device Data System.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Data-driven modeling of sleep states from EEG.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
A disk-aware algorithm for time series motif discovery.
Data Min. Knowl. Discov., 2011

2009
Exact Discovery of Time Series Motifs.
Proceedings of the SIAM International Conference on Data Mining, 2009

2008
Achievable Rates for Pattern Recognition.
IEEE Trans. Inf. Theory, 2008

Asymptotic Geometry of Multiple Hypothesis Testing.
IEEE Trans. Inf. Theory, 2008

2006
Successive Refinement for Pattern Recognition.
Proceedings of the 2006 IEEE Information Theory Workshop, 2006

2005
Achievable rates for pattern recognition: binary and Gaussian cases.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

2004
Towards an information theoretic framework for object recognition.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

2003
Layer 4C in monkey V1 may linearize the output of the LGN.
Neurocomputing, 2003

The neural multiple access channel.
Neurocomputing, 2003

2002
Linearly decodable functions from neural population codes.
Neurocomputing, 2002

A general framework for neurobiological modeling: an application to the vestibular system.
Neurocomputing, 2002


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