M. Brandon Westover

101 papers A* 6A 2B 3C 1Misc 4Journal 58Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automated Electronic Health Record Phenotyping of Acute and Subacute Subdural Hematoma.
Algorithms
Gregory B. Hooke, Haoqi Sun, Catherine Clive, Spencer Boris, Niels Turley, Lydia Petersen, Jaden Searle, Bram Overmeer, Ali Han Yaramis, Karan Singh, Arjun Singh, Daniel Sumsion, Aditya Gupta, Manohar Ghanta, Valdery Moura Junior, Marta P. B. Fernandes, Katie L. Stone, Dennis Hwang, Lynn Marie Trotti, Gari D. Clifford, Umakanth Katwa, Shibani S. Mukerji, Sahar F. Zafar, Robert J. Thomas, M. Brandon Westover
2025 J jnl
A GPT-4o-powered framework for identifying cognitive impairment stages in electronic health records.
npj Digit. Medicine
Yu Leng, Yingnan He, Samad Amini, Colin G. Magdamo, Ioannis Paschalidis, Shibani S. Mukerji, Lidia M. V. R. Moura, M. Brandon Westover, Ana-Maria Vranceanu, Christine S. Ritchie, Deborah Blacker, John R. Dickson, Sudeshna Das
2025 J jnl
Artificial intelligence without restriction surpassing human intelligence with probability one: Theoretical insight into secrets of the brain with AI twins of the brain.
Neurocomputing
Guang-Bin Huang, M. Brandon Westover, Eng-King Tan, Haibo Wang, Dongshun Cui, Wei-Ying Ma, Tiantong Wang, Qi He, Haikun Wei, Ning Wang, Qiyuan Tian, Kwok-Yan Lam, Xin Yao, Tien Yin Wong
2025 J jnl
Automated phenotyping of mild cognitive impairment and Alzheimer's disease and related dementias using electronic health records.
Int. J. Medical Informatics
Ruoqi Wei, Stephanie S. Buss, Rebecca Milde, Marta Fernandes, Daniel Sumsion, Elijah Davis, Wan-Yee Kong, Yiwen Xiong, Jet Veltink, Samvrit Rao, Tara M. Westover, Lydia Petersen, Niels Turley, Arjun Singh, Sudeshna Das, Valdery Moura Junior, Manohar Ghanta, Aditya Gupta, Jennifer Kim, Alice D. Lam, Katie L. Stone, Emmanuel Mignot, Dennis Hwang, Lynn Marie Trotti, Gari D. Clifford, Umakanth Katwa, Robert J. Thomas, Shibani Mukerji, Sahar F. Zafar, M. Brandon Westover, Haoqi Sun
2025 J jnl
Continuous sleep depth index annotation with deep learning yields novel digital biomarkers for sleep health.
npj Digit. Medicine
Songchi Zhou, Ge Song, Haoqi Sun, Deyun Zhang, Yue Leng, M. Brandon Westover, Shenda Hong
2025 J jnl
Stanford Sleep Bench: Evaluating Polysomnography Pre-training Methods for Sleep Foundation Models.
CoRR
Magnus Ruud Kjær, Rahul Thapa, Gauri Ganjoo, Hyatt Moore IV, Poul Jørgen Jennum, M. Brandon Westover, James Zou, Emmanuel Mignot, Bryan He, Andreas Brink-Kjaer
2025 — conf
This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN.
MICCAI (14)
Dennis Tang, Jon Donnelly, Alina Jade Barnett, Lesia Semenova, Jin Jing, Peter Hadar, Ioannis Karakis, Olga Selioutski, Kehan Zhao, M. Brandon Westover, Cynthia Rudin
2025 J jnl
This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN.
CoRR
Dennis Tang, Jon Donnelly, Alina Jade Barnett, Lesia Semenova, Jin Jing, Peter Hadar, Ioannis Karakis, Olga Selioutski, Kehan Zhao, M. Brandon Westover, Cynthia Rudin
2024 J jnl
An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains.
CoRR
Jun Li, Aaron Aguirre, Junior Moura, Che Liu, Lanhai Zhong, Chenxi Sun, Gari D. Clifford, M. Brandon Westover, Shenda Hong
2024 J jnl
Annotation of Sleep Depth Index with Scalable Deep Learning Yields Novel Digital Biomarkers for Sleep Health.
CoRR
Songchi Zhou, Ge Song, Haoqi Sun, Yue Leng, M. Brandon Westover, Shenda Hong
2024 J jnl
Artificial Intelligence without Restriction Surpassing Human Intelligence with Probability One: Theoretical Insight into Secrets of the Brain with AI Twins of the Brain.
CoRR
Guang-Bin Huang, M. Brandon Westover, Eng-King Tan, Haibo Wang, Dongshun Cui, Wei-Ying Ma, Tiantong Wang, Qi He, Haikun Wei, Ning Wang, Qiyuan Tian, Kwok-Yan Lam, Xin Yao, Tien Yin Wong
2024 J jnl
Contactless Polysomnography: What Radio Waves Tell Us about Sleep.
CoRR
Hao He, Chao Li, Wolfgang Ganglberger, Kaileigh Gallagher, Rumen Hristov, Michail Ouroutzoglou, Haoqi Sun, Jimeng Sun, M. Brandon Westover, Dina Katabi
2024 J jnl
Corrigendum to "Brain health scores to predict neurological outcomes from electronic health records" [Int. J. Med. Inform. (2023) 105270].
Int. J. Medical Informatics
Marta P. B. Fernandes, Haoqi Sun, Zeina Chemali, Shibani S. Mukerji, Lidia M. V. R. Moura, Sahar F. Zafar, Akshata Sonni, Alessandro Biffi, Jonathan Rosand, M. Brandon Westover
2024 A conf
Safe and Interpretable Estimation of Optimal Treatment Regimes.
AISTATS
Harsh Parikh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky
2023 A* conf
BIOT: Biosignal Transformer for Cross-data Learning in the Wild.
NeurIPS
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
2023 J jnl
BIOT: Cross-data Biosignal Learning in the Wild.
CoRR
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
2023 J jnl
Brain health scores to predict neurological outcomes from electronic health records.
Int. J. Medical Informatics
Marta P. B. Fernandes, Haoqi Sun, Zeina Chemali, Shibani S. Mukerji, Lidia M. V. R. Moura, Sahar F. Zafar, Akshata Sonni, Alessandro Biffi, Jonathan Rosand, M. Brandon Westover
2023 J jnl
Classification of neurologic outcomes from medical notes using natural language processing.
Expert Syst. Appl.
Marta B. Fernandes, Navid Valizadeh, Haitham Alabsi, Syed A. Quadri, Ryan A. Tesh, Abigail A. Bucklin, Haoqi Sun, Aayushee Jain, Laura Brenner, Elissa M. Ye, Wendong Ge, Sarah I. Collens, Stacie Lin, Sudeshna Das, Gregory K. Robbins, Sahar F. Zafar, Shibani S. Mukerji, M. Brandon Westover
2023 J jnl
Estimating Trustworthy and Safe Optimal Treatment Regimes.
CoRR
Harsh Parikh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky
2023 A* conf
ManyDG: Many-domain Generalization for Healthcare Applications.
ICLR
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
2023 J jnl
ManyDG: Many-domain Generalization for Healthcare Applications.
CoRR
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
2023 — conf
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023.
CinC
Matthew A. Reyna, Edilberto Amorim, Reza Sameni, James Weigle, Andoni Elola, Ali Bahrami Rad, Salman Seyedi, HyeokHyen Kwon, Wei-Long Zheng, Mohammad M. Ghassemi, Michel J. A. M. van Putten, Jeannette Hofmeijer, Nicolas Gaspard, Adithya Sivaraju, Susan T. Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford
2023 J jnl
ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges.
CoRR
Dennis Tang, Frank Willard, Ronan Tegerdine, Luke Triplett, Jon Donnelly, Luke Moffett, Lesia Semenova, Alina Jade Barnett, Jin Jing, Cynthia Rudin, M. Brandon Westover
2022 A* conf
ATD: Augmenting CP Tensor Decomposition by Self Supervision.
NeurIPS
Chaoqi Yang, Cheng Qian, Navjot Singh, Cao (Danica) Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun
2022 J jnl
Age estimation from sleep studies using deep learning predicts life expectancy.
npj Digit. Medicine
Andreas Brink-Kjaer, Eileen B. Leary, Haoqi Sun, M. Brandon Westover, Katie L. Stone, Paul E. Peppard, Nancy E. Lane, Peggy M. Cawthon, Susan Redline, Poul Jennum, Helge B. D. Sørensen, Emmanuel Mignot
2022 J jnl
Automated Scoring of Respiratory Events in Sleep With a Single Effort Belt and Deep Neural Networks.
IEEE Trans. Biomed. Eng.
Thijs E. Nassi, Wolfgang Ganglberger, Haoqi Sun, Abigail A. Bucklin, Siddharth Biswal, Michel J. A. M. van Putten, Robert J. Thomas, M. Brandon Westover
2022 J jnl
How Machine Learning is Powering Neuroimaging to Improve Brain Health.
Neuroinformatics
Nalini M. Singh, Jordan B. Harrod, Sandya Subramanian, Mitchell B. Robinson, Ken Chang, Suheyla Cetin Karayumak, Adrian Vasile Dalca, Simon B. Eickhoff, Michael Fox, Loraine Franke, Polina Golland, Daniel Haehn, Juan Eugenio Iglesias, Lauren J. O'Donnell, Yangming Ou, Yogesh Rathi, Shan H. Siddiqi, Haoqi Sun, M. Brandon Westover, Susan L. Whitfield-Gabrieli, Randy L. Gollub
2022 J jnl
Mapping the Ictal-Interictal-Injury Continuum Using Interpretable Machine Learning.
CoRR
Alina Jade Barnett, Zhicheng Guo, Jin Jing, Wendong Ge, Cynthia Rudin, M. Brandon Westover
2022 J jnl
Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning.
IEEE Trans. Biomed. Eng.
Wei-Long Zheng, Edilberto Amorim, Jin Jing, Ona Wu, Mohammad M. Ghassemi, Jong Woo Lee, Adithya Sivaraju, Trudy Pang, Susan T. Herman, Nicolas Gaspard, Barry J. Ruijter, Marleen C. Tjepkema-Cloostermans, Jeannette Hofmeijer, Michel J. A. M. van Putten, M. Brandon Westover
2022 A* conf
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models.
AAAI
Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun
2022 J jnl
Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It.
CoRR
Harsh Parikh, Kentaro Hoffman, Haoqi Sun, Wendong Ge, Jin Jing, Rajesh Amerineni, Lin Liu, Jimeng Sun, Sahar F. Zafar, Aaron Struck, Alexander Volfovsky, Cynthia Rudin, M. Brandon Westover
2021 J jnl
Augmented Tensor Decomposition with Stochastic Optimization.
CoRR
Chaoqi Yang, Cheng Qian, Navjot Singh, Cao Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun
2021 J jnl
Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study.
Int. J. Neural Syst.
John Thomas, Thangavel Prasanth, Wei Yan Peh, Jin Jing, Yuvaraj Rajamanickam, Sydney S. Cash, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, M. Brandon Westover, Justin Dauwels
2021 J jnl
Automated Respiratory Event Detection Using Deep Neural Networks.
CoRR
Thijs E. Nassi, Wolfgang Ganglberger, Haoqi Sun, Abigail A. Bucklin, Siddharth Biswal, Michel J. A. M. van Putten, Robert J. Thomas, M. Brandon Westover
2021 J jnl
Computational Evidence for a Competitive Thalamocortical Model of Spikes and Spindle Activity in Rolandic Epilepsy.
Frontiers Comput. Neurosci.
Qiang Li, M. Brandon Westover, Rui Zhang, Catherine Jean Chu
2021 J jnl
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models.
CoRR
Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun
2021 J jnl
Self-supervised EEG Representation Learning for Automatic Sleep Staging.
CoRR
Chaoqi Yang, Cao (Danica) Xiao, M. Brandon Westover, Jimeng Sun
2021 J jnl
Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation.
CoRR
Wolfgang Ganglberger, Abigail A. Bucklin, Ryan A. Tesh, Madalena Da Silva Cardoso, Haoqi Sun, Michael J. Leone, Luis Paixao, Ezhil Panneerselvam, Elissa M. Ye, B. Taylor Thompson, Oluwaseun Akeju, David Kuller, Robert J. Thomas, M. Brandon Westover
2021 J jnl
Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis.
Int. J. Neural Syst.
Thangavel Prasanth, John Thomas, Wei Yan Peh, Jin Jing, Yuvaraj Rajamanickam, Sydney S. Cash, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, M. Brandon Westover, Justin Dauwels
2021 J jnl
Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records.
CoRR
Tanish Tyagi, Colin G. Magdamo, Ayush Noori, Zhaozhi Li, Xiao Liu, Mayuresh Deodhar, Zhuoqiao Hong, Wendong Ge, Elissa M. Ye, Yi-han Sheu, Haitham Alabsi, Laura Brenner, Gregory K. Robbins, Sahar F. Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Alberto Serrano-Pozo, Dimitry Prokopenko, Rudolph E. Tanzi, Bradley T. Hyman, Deborah Blacker, Shibani S. Mukerji, M. Brandon Westover, Sudeshna Das
2020 J jnl
A New Neural Mass Model Driven Method and Its Application in Early Epileptic Seizure Detection.
IEEE Trans. Biomed. Eng.
Jiang-Ling Song, Qiang Li, Bo Zhang, M. Brandon Westover, Rui Zhang
2020 J jnl
Adaptive Sedation Monitoring From EEG in ICU Patients With Online Learning.
IEEE Trans. Biomed. Eng.
Wei-Long Zheng, Haoqi Sun, Oluwaseun Akeju, M. Brandon Westover
2020 J jnl
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks.
Int. J. Neural Syst.
John Thomas, Jing Jin, Thangavel Prasanth, Elham Bagheri, Yuvaraj Rajamanickam, Justin Dauwels, Rahul Rathakrishnan, Jonathan J. Halford, Sydney S. Cash, M. Brandon Westover
2020 J jnl
CLARA: Clinical Report Auto-completion.
CoRR
Siddharth Biswal, Cao Xiao, Lucas M. Glass, M. Brandon Westover, Jimeng Sun
2020 A* conf
Clinical Report Auto-completion.
WWW
Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun
2020 — conf
Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands.
EMBC
Thangavel Prasanth, John Thomas, R. Yuvaraj, Jing Jing, Sydney S. Cash, Rima Chaudhari, Yee-Leng Tan, Rahul Rathakrishnan, Rohit Srivastava, Vinay Saini, M. Brandon Westover, Justin Dauwels
2020 J jnl
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning.
CoRR
Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu, Prathamesh Mohite, Ayush Noori, Elissa M. Ye, Wendong Ge, Haoqi Sun, Laura Brenner, Gregory K. Robbins, Shibani Mukerji, Sahar F. Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Bradley T. Hyman, M. Brandon Westover, Deborah Blacker, Sudeshna Das
2019 J jnl
A novel neural computational model of generalized periodic discharges in acute hepatic encephalopathy.
J. Comput. Neurosci.
Jiang-Ling Song, Luis Paixao, Qiang Li, Si-Hui Li, Rui Zhang, M. Brandon Westover
2019 J jnl
Automated tracking of level of consciousness and delirium in critical illness using deep learning.
npj Digit. Medicine
Haoqi Sun, Eyal Kimchi, Oluwaseun Akeju, Sunil Belur Nagaraj, Lauren M. McClain, David W. Zhou, Emily Boyle, Wei-Long Zheng, Wendong Ge, M. Brandon Westover
2019 — conf
Automatic Detection of General Anesthetic-States using ECG-Derived Autonomic Nervous System Features.
EMBC
Sam L. Polk, Kimia Kashkooli, Sunil Belur Nagaraj, Shubham Chamadia, James M. Murphy, Haoqi Sun, M. Brandon Westover, Riccardo Barbieri, Oluwaseun Akeju
2019 — conf
Drug-Specific Models Improve the Performance of an EEG-based Automated Brain-State Prediction System.
EMBC
Kimia Kashkooli, Sam L. Polk, Shubham Chamadia, Eunice Hahm, Breanna Ethridge, Jacob Gitlin, Reine Ibala, Jennifer Mekonnen, Juan Pedemonte, James M. Murphy, Haoqi Sun, M. Brandon Westover, Oluwaseun Akeju
2019 — conf
EEGtoText: Learning to Write Medical Reports from EEG Recordings.
MLHC
Siddharth Biswal, Cao Xiao, M. Brandon Westover, Jimeng Sun
2019 — conf
Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019.
CinC
Matthew A. Reyna, Christopher Josef, Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford
2019 J jnl
Effects of Cholinergic Neuromodulation on Thalamocortical Rhythms During NREM Sleep: A Model Study.
Frontiers Comput. Neurosci.
Qiang Li, Jiang-Ling Song, Si-Hui Li, M. Brandon Westover, Rui Zhang
2019 — conf
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules.
MLHC
Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun
2019 J jnl
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules.
CoRR
Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun
2019 J jnl
Smile: A System to Support Machine Learning on EEG Data at Scale.
Proc. VLDB Endow.
Lei Cao, Wenbo Tao, Sungtae An, Jing Jin, Yizhou Yan, Xiaoyu Liu, Wendong Ge, Adam Sah, Leilani Battle, Jimeng Sun, Remco Chang, M. Brandon Westover, Samuel Madden, Michael Stonebraker
2018 — conf
A Mean Field Model of Acute Hepatic Encephalopathy.
EMBC
Jiang-Ling Song, Haoqi Sun, Jing Jin, Luis Carlos, Lingya Chao, Sydney S. Cash, Rui Zhang, M. Brandon Westover
2018 — conf
Brain Monitoring of Sedation in the Intensive Care Unit Using a Recurrent Neural Network.
EMBC
Haoqi Sun, Sunil Belur Nagaraj, Oluwaseun Akeju, Patrick L. Purdon, M. Brandon Westover
2018 Misc conf
Classifier Cascade to Aid in Detection of Epileptiform Transients in Interictal EEG.
ICASSP
Elham Bagheri, Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover
2018 — conf
EEG CLassification Via Convolutional Neural Network-Based Interictal Epileptiform Event Detection.
EMBC
John Thomas, Luca Comoretto, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover
2018 J jnl
Electroencephalogram Based Detection of Deep Sedation in ICU Patients Using Atomic Decomposition.
IEEE Trans. Biomed. Eng.
Sunil Belur Nagaraj, Lauren M. McClain, Emily J. Boyle, David W. Zhou, Sowmya M. Ramaswamy, Siddharth Biswal, Oluwaseun Akeju, Patrick L. Purdon, M. Brandon Westover
2018 J jnl
Expert-level sleep scoring with deep neural networks.
J. Am. Medical Informatics Assoc.
Siddharth Biswal, Haoqi Sun, Balaji Goparaju, M. Brandon Westover, Jimeng Sun, Matt T. Bianchi
2018 J jnl
HAMLET: Interpretable Human And Machine co-LEarning Technique.
CoRR
Olivier Deiss, Siddharth Biswal, Jing Jin, Haoqi Sun, M. Brandon Westover, Jimeng Sun
2018 — conf
Personalized Medication Dosing Using Volatile Data Streams.
AAAI Workshops
Mohammad M. Ghassemi, Tuka Al Hanai, M. Brandon Westover, Roger G. Mark, Shamim Nemati
2018 C conf
Predicting Ordinal Level of Sedation from the Spectrogram of Electroencephalography.
CW
Haoqi Sun, Sunil Belur Nagaraj, M. Brandon Westover
2018 — conf
Rapid Annotation of Seizures and Interictal-ictal Continuum EEG Patterns.
EMBC
Jin Jing, Emile drAngremont, Sahar F. Zafar, Eric S. Rosenthal, Mohammad Tabaeizadeh, Senan Ebrahim, Justin Dauwels, M. Brandon Westover
2018 — conf
You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018.
CinC
Mohammad M. Ghassemi, Benjamin Moody, Li-Wei H. Lehman, Christopher Song, Qiao Li, Haoqi Sun, M. Brandon Westover, Gari D. Clifford
2017 — conf
An open-source tool for the transcription of paper-spreadsheet data: Code and supplemental materials available online: Https: //github.com/deskool/images to spreadsheets.
IEEE BigData
Mohammad M. Ghassemi, Willow Jarvis, Tuka Alhanai, Emery N. Brown, Roger G. Mark, M. Brandon Westover
2017 — conf
Automated epileptiform spike detection via affinity propagation-based template matching.
EMBC
John Thomas, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover
2017 J jnl
Automated identification of epileptic seizures in EEG signals based on phase space representation and statistical features in the CEEMD domain.
Biomed. Signal Process. Control.
Jian Jia, Balaji Goparaju, Jiang-Ling Song, Rui Zhang, M. Brandon Westover
2017 — conf
Design, implementation, and evaluation of a physiological closed-loop control device for medically-induced coma.
EMBC
Jingzhi An, Patrick L. Purdon, Ken Solt, Nathaniel M. Sims, Emery N. Brown, M. Brandon Westover
2017 J jnl
SLEEPNET: Automated Sleep Staging System via Deep Learning.
CoRR
Siddharth Biswal, Joshua Kulas, Haoqi Sun, Balaji Goparaju, M. Brandon Westover, Matt T. Bianchi, Jimeng Sun
2016 Misc conf
Clustering of interictal spikes by dynamic time warping and affinity propagation.
ICASSP
John Thomas, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover
2016 Misc conf
Epileptiform spike detection via convolutional neural networks.
ICASSP
Alexander Rosenberg Johansen, Jing Jin, Tomasz Maszczyk, Justin Dauwels, Sydney S. Cash, M. Brandon Westover
2016 Misc conf
Fast and efficient rejection of background waveforms in interictal EEG.
ICASSP
Elham Bagheri, Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover
2016 — conf
Heart rate variability as a biomarker for sedation depth estimation in ICU patients.
EMBC
Sunil Belur Nagaraj, Sowmya M. Ramaswamy, Siddharth Biswal, Emily J. Boyle, David W. Zhou, Lauren M. McClain, Eric S. Rosenthal, Patrick L. Purdon, M. Brandon Westover
2016 — conf
Personalized Sedation Level Monitoring in ICU Patients Using Heart Rate Variability.
CinC
Sunil Belur Nagaraj, Siddharth Biswal, Valdery Moura Junior, Patrick L. Purdon, M. Brandon Westover
2015 — conf
An enhanced cerebral recovery index for coma prognostication following cardiac arrest.
EMBC
Mohammad M. Ghassemi, Edilberto Amorim, Sandipan B. Pati, Roger G. Mark, Emery N. Brown, Patrick L. Purdon, M. Brandon Westover
2015 — conf
Automated information extraction from free-text EEG reports.
EMBC
Siddharth Biswal, Zarina Nip, Valdery Moura Junior, Matt T. Bianchi, Eric S. Rosenthal, M. Brandon Westover
2015 — conf
Clustering analysis to identify distinct spectral components of encephalogram burst suppression in critically ill patients.
EMBC
David W. Zhou, M. Brandon Westover, Lauren M. McClain, Sunil Belur Nagaraj, Ednan K. Bajwa, Sadeq A. Quraishi, Oluwaseun Akeju, J. Perren Cobb, Patrick L. Purdon
2015 — conf
Spatial variation in automated burst suppression detection in pharmacologically induced coma.
EMBC
Jingzhi An, Durga Jonnalagadda, Valdery Moura Junior, Patrick L. Purdon, Emery N. Brown, M. Brandon Westover
2014 J jnl
Sparse Extreme Learning Machine for Classification.
IEEE Trans. Cybern.
Zuo Bai, Guang-Bin Huang, Danwei Wang, Han Wang, M. Brandon Westover
2014 — conf
SpikeGUI: Software for rapid interictal discharge annotation via template matching and online machine learning.
EMBC
Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover
2013 J jnl
Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping.
ACM Trans. Knowl. Discov. Data
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh
2013 — conf
Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression.
EMBC
M. Brandon Westover, ShiNung Ching, Mouhsin M. Shafi, Sydney S. Cash, Emery N. Brown
2012 — conf
Data-driven modeling of sleep states from EEG.
EMBC
Alexander Van Esbroeck, M. Brandon Westover
2012 — conf
Safety evaluation of a Medical Device Data System.
EMBC
Stephanie Liddle, Lata Grover, Rachel Zhang, Maxim Khitrov, Joan C. Brown, J. Perren Cobb, Julian Goldman, Joseph Chou, Daniel Yagoda, M. Brandon Westover, Andrew T. Reisner
2012 A* conf
Searching and mining trillions of time series subsequences under dynamic time warping.
KDD
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh
2011 J jnl
A disk-aware algorithm for time series motif discovery.
Data Min. Knowl. Discov.
Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover, Nima Bigdely Shamlo
2009 A conf
Exact Discovery of Time Series Motifs.
SDM
Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover
2008 J jnl
Achievable Rates for Pattern Recognition.
IEEE Trans. Inf. Theory
M. Brandon Westover, Joseph A. O'Sullivan
2008 J jnl
Asymptotic Geometry of Multiple Hypothesis Testing.
IEEE Trans. Inf. Theory
M. Brandon Westover
2006 B conf
Successive Refinement for Pattern Recognition.
ITW
Joseph A. O'Sullivan, Naveen Singla, M. Brandon Westover
2005 J jnl
Achievable Rates for Pattern Recognition
CoRR
M. Brandon Westover, Joseph A. O'Sullivan
2005 B conf
Achievable rates for pattern recognition: binary and Gaussian cases.
ISIT
M. Brandon Westover, Joseph A. O'Sullivan
2004 B conf
Towards an information theoretic framework for object recognition.
ISIT
M. Brandon Westover, Joseph A. O'Sullivan
2003 J jnl
Layer 4C in monkey V1 may linearize the output of the LGN.
Neurocomputing
M. Brandon Westover, Charles H. Anderson
2003 J jnl
The neural multiple access channel.
Neurocomputing
Brian J. Fischer, M. Brandon Westover
2002 J jnl
A general framework for neurobiological modeling: an application to the vestibular system.
Neurocomputing
Chris Eliasmith, M. Brandon Westover, Charles H. Anderson
2002 J jnl
Linearly decodable functions from neural population codes.
Neurocomputing
M. Brandon Westover, Chris Eliasmith, Charles H. Anderson