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M. Brandon Westover
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2020 – today
- 2024
- [c42]Harsh Parikh, Quinn Lanners, Zade Akras, Sahar Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky:
Safe and Interpretable Estimation of Optimal Treatment Regimes. AISTATS 2024: 2134-2142 - [i21]Hao He, Chao Li, Wolfgang Ganglberger, Kaileigh Gallagher, Rumen Hristov, Michail Ouroutzoglou, Haoqi Sun, Jimeng Sun, M. Brandon Westover, Dina Katabi:
Contactless Polysomnography: What Radio Waves Tell Us about Sleep. CoRR abs/2405.11739 (2024) - [i20]Songchi Zhou, Ge Song, Haoqi Sun, Yue Leng, M. Brandon Westover, Shenda Hong:
Annotation of Sleep Depth Index with Scalable Deep Learning Yields Novel Digital Biomarkers for Sleep Health. CoRR abs/2407.04753 (2024) - [i19]Jun Li, Aaron Aguirre, Junior Moura, Che Liu, Lanhai Zhong, Chenxi Sun, Gari Clifford, M. Brandon Westover, Shenda Hong:
An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains. CoRR abs/2410.04133 (2024) - 2023
- [j28]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 Zafar, Shibani S. Mukerji, M. Brandon Westover:
Classification of neurologic outcomes from medical notes using natural language processing. Expert Syst. Appl. 214: 119171 (2023) - [j27]Marta P. B. Fernandes
Brain health scores to predict neurological outcomes from electronic health records. Int. J. Medical Informatics 180: 105270 (2023) - [c41]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:
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. CinC 2023: 1-4 - [c40]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
ManyDG: Many-domain Generalization for Healthcare Applications. ICLR 2023 - [c39]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
BIOT: Biosignal Transformer for Cross-data Learning in the Wild. NeurIPS 2023 - [i18]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
ManyDG: Many-domain Generalization for Healthcare Applications. CoRR abs/2301.08834 (2023) - [i17]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
BIOT: Cross-data Biosignal Learning in the Wild. CoRR abs/2305.10351 (2023) - [i16]Harsh Parikh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky:
Estimating Trustworthy and Safe Optimal Treatment Regimes. CoRR abs/2310.15333 (2023) - [i15]Dennis Tang, Frank Willard, Ronan Tegerdine, Luke Triplett, Jon Donnelly, Luke Moffett, Lesia Semenova, Alina Jade Barnett
ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges. CoRR abs/2312.10056 (2023) - 2022
- [j26]Nalini M. Singh, Jordan B. Harrod, Sandya Subramanian, Mitchell B. Robinson
How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics 20(4): 943-964 (2022) - [j25]Andreas Brink-Kjaer
Age estimation from sleep studies using deep learning predicts life expectancy. npj Digit. Medicine 5 (2022) - [j24]Wei-Long Zheng
Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning. IEEE Trans. Biomed. Eng. 69(5): 1813-1825 (2022) - [j23]Thijs E. Nassi
Automated Scoring of Respiratory Events in Sleep With a Single Effort Belt and Deep Neural Networks. IEEE Trans. Biomed. Eng. 69(6): 2094-2104 (2022) - [c38]Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun:
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. AAAI 2022: 7497-7505 - [c37]Chaoqi Yang, Cheng Qian, Navjot Singh, Cao (Danica) Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun:
ATD: Augmenting CP Tensor Decomposition by Self Supervision. NeurIPS 2022 - [i14]Harsh Parikh, Kentaro Hoffman, Haoqi Sun, Wendong Ge, Jin Jing, Rajesh Amerineni, Lin Liu, Jimeng Sun
Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It. CoRR abs/2203.04920 (2022) - [i13]Alina Jade Barnett
Mapping the Ictal-Interictal-Injury Continuum Using Interpretable Machine Learning. CoRR abs/2211.05207 (2022) - 2021
- [j22]Qiang Li, M. Brandon Westover, Rui Zhang, Catherine Jean Chu
Computational Evidence for a Competitive Thalamocortical Model of Spikes and Spindle Activity in Rolandic Epilepsy. Frontiers Comput. Neurosci. 15: 680549 (2021) - [j21]John Thomas
Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. Int. J. Neural Syst. 31(5): 2050074:1-2050074:16 (2021) - [j20]Thangavel Prasanth
Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis. Int. J. Neural Syst. 31(8): 2150032:1-2150032:16 (2021) - [i12]Thijs E. Nassi, Wolfgang Ganglberger, Haoqi Sun, Abigail A. Bucklin, Siddharth Biswal, Michel J. A. M. van Putten, Robert J. Thomas, M. Brandon Westover:
Automated Respiratory Event Detection Using Deep Neural Networks. CoRR abs/2101.04635 (2021) - [i11]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:
Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation. CoRR abs/2102.13473 (2021) - [i10]Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun:
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models. CoRR abs/2103.03945 (2021) - [i9]Chaoqi Yang, Cheng Qian, Navjot Singh, Cao Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun:
Augmented Tensor Decomposition with Stochastic Optimization. CoRR abs/2106.07900 (2021) - [i8]Chaoqi Yang, Cao (Danica) Xiao, M. Brandon Westover, Jimeng Sun:
Self-supervised EEG Representation Learning for Automatic Sleep Staging. CoRR abs/2110.15278 (2021) - [i7]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 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:
Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records. CoRR abs/2111.09115 (2021) - 2020
- [j19]John Thomas
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks. Int. J. Neural Syst. 30(11): 2050030:1-2050030:17 (2020) - [j18]Wei-Long Zheng
Adaptive Sedation Monitoring From EEG in ICU Patients With Online Learning. IEEE Trans. Biomed. Eng. 67(6): 1696-1706 (2020) - [j17]Jiang-Ling Song
A New Neural Mass Model Driven Method and Its Application in Early Epileptic Seizure Detection. IEEE Trans. Biomed. Eng. 67(8): 2194-2205 (2020) - [c36]Thangavel Prasanth
Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands. EMBC 2020: 3703-3706 - [c35]Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun
Clinical Report Auto-completion. WWW 2020: 541-550 - [i6]Siddharth Biswal, Cao Xiao, Lucas M. Glass, M. Brandon Westover, Jimeng Sun:
CLARA: Clinical Report Auto-completion. CoRR abs/2002.11701 (2020) - [i5]Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu, Prathamesh Mohite, Ayush Noori
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning. CoRR abs/2011.06489 (2020)
2010 – 2019
- 2019
- [j16]Qiang Li, Jiang-Ling Song, Si-Hui Li
Effects of Cholinergic Neuromodulation on Thalamocortical Rhythms During NREM Sleep: A Model Study. Frontiers Comput. Neurosci. 13: 100 (2019) - [j15]Jiang-Ling Song, Luis Paixao
A novel neural computational model of generalized periodic discharges in acute hepatic encephalopathy. J. Comput. Neurosci. 47(2-3): 109-124 (2019) - [j14]Haoqi Sun
Automated tracking of level of consciousness and delirium in critical illness using deep learning. npj Digit. Medicine 2 (2019) - [j13]Lei Cao
Smile: A System to Support Machine Learning on EEG Data at Scale. Proc. VLDB Endow. 12(12): 2230-2241 (2019) - [c34]Matthew A. Reyna, Christopher Josef, Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford:
Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019. CinC 2019: 1-4 - [c33]Sam L. Polk, Kimia Kashkooli, Sunil Belur Nagaraj, Shubham Chamadia
Automatic Detection of General Anesthetic-States using ECG-Derived Autonomic Nervous System Features. EMBC 2019: 2019-2022 - [c32]Kimia Kashkooli, Sam L. Polk, Shubham Chamadia
Drug-Specific Models Improve the Performance of an EEG-based Automated Brain-State Prediction System. EMBC 2019: 5808-5811 - [c31]Siddharth Biswal, Cao Xiao, M. Brandon Westover, Jimeng Sun:
EEGtoText: Learning to Write Medical Reports from EEG Recordings. MLHC 2019: 513-531 - [c30]Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun:
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. MLHC 2019: i - [i4]Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun:
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. CoRR abs/1910.06100 (2019) - 2018
- [j12]Siddharth Biswal, Haoqi Sun, Balaji Goparaju, M. Brandon Westover, Jimeng Sun
Expert-level sleep scoring with deep neural networks. J. Am. Medical Informatics Assoc. 25(12): 1643-1650 (2018) - [j11]Sunil Belur Nagaraj
Electroencephalogram Based Detection of Deep Sedation in ICU Patients Using Atomic Decomposition. IEEE Trans. Biomed. Eng. 65(12): 2684-2691 (2018) - [c29]Mohammad M. Ghassemi, Tuka Al Hanai, M. Brandon Westover, Roger G. Mark, Shamim Nemati:
Personalized Medication Dosing Using Volatile Data Streams. AAAI Workshops 2018: 435-442 - [c28]Mohammad M. Ghassemi, Benjamin Moody, Li-Wei H. Lehman, Christopher Song, Qiao Li, Haoqi Sun, M. Brandon Westover, Gari D. Clifford:
You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018. CinC 2018: 1-4 - [c27]Haoqi Sun, Sunil Belur Nagaraj, M. Brandon Westover:
Predicting Ordinal Level of Sedation from the Spectrogram of Electroencephalography. CW 2018: 292-295 - [c26]Haoqi Sun, Sunil Belur Nagaraj, Oluwaseun Akeju
Brain Monitoring of Sedation in the Intensive Care Unit Using a Recurrent Neural Network. EMBC 2018: 1-4 - [c25]Jiang-Ling Song, Haoqi Sun, Jing Jin, Luis Carlos, Lingya Chao, Sydney S. Cash, Rui Zhang, M. Brandon Westover:
A Mean Field Model of Acute Hepatic Encephalopathy. EMBC 2018: 2366-2369 - [c24]John Thomas, Luca Comoretto, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
EEG CLassification Via Convolutional Neural Network-Based Interictal Epileptiform Event Detection. EMBC 2018: 3148-3151 - [c23]Jin Jing, Emile drAngremont, Sahar Zafar, Eric S. Rosenthal
Rapid Annotation of Seizures and Interictal-ictal Continuum EEG Patterns. EMBC 2018: 3394-3397 - [c22]Elham Bagheri
Classifier Cascade to Aid in Detection of Epileptiform Transients in Interictal EEG. ICASSP 2018: 970-974 - [i3]Olivier Deiss, Siddharth Biswal, Jing Jin, Haoqi Sun, M. Brandon Westover, Jimeng Sun:
HAMLET: Interpretable Human And Machine co-LEarning Technique. CoRR abs/1803.09702 (2018) - 2017
- [j10]Jian Jia, Balaji Goparaju, Jiang-Ling Song, Rui Zhang, M. Brandon Westover:
Automated identification of epileptic seizures in EEG signals based on phase space representation and statistical features in the CEEMD domain. Biomed. Signal Process. Control. 38: 148-157 (2017) - [c21]Mohammad M. Ghassemi, Willow Jarvis, Tuka Alhanai
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 2017: 935-941 - [c20]John Thomas, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
Automated epileptiform spike detection via affinity propagation-based template matching. EMBC 2017: 3057-3060 - [c19]Jingzhi An, Patrick L. Purdon, Ken Solt
Design, implementation, and evaluation of a physiological closed-loop control device for medically-induced coma. EMBC 2017: 4313-4316 - [i2]Siddharth Biswal, Joshua Kulas, Haoqi Sun, Balaji Goparaju, M. Brandon Westover, Matt T. Bianchi, Jimeng Sun:
SLEEPNET: Automated Sleep Staging System via Deep Learning. CoRR abs/1707.08262 (2017) - 2016
- [c18]Sunil Belur Nagaraj, Siddharth Biswal, Valdery Moura Junior, Patrick L. Purdon, M. Brandon Westover:
Personalized Sedation Level Monitoring in ICU Patients Using Heart Rate Variability. CinC 2016 - [c17]Sunil Belur Nagaraj, Sowmya M. Ramaswamy, Siddharth Biswal, Emily J. Boyle, David W. Zhou, Lauren M. McClain, Eric S. Rosenthal
Heart rate variability as a biomarker for sedation depth estimation in ICU patients. EMBC 2016: 6397-6400 - [c16]Elham Bagheri
Fast and efficient rejection of background waveforms in interictal EEG. ICASSP 2016: 744-748 - [c15]John Thomas, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
Clustering of interictal spikes by dynamic time warping and affinity propagation. ICASSP 2016: 749-753 - [c14]Alexander Rosenberg Johansen, Jing Jin, Tomasz Maszczyk, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
Epileptiform spike detection via convolutional neural networks. ICASSP 2016: 754-758 - 2015
- [c13]Mohammad M. Ghassemi, Edilberto Amorim
An enhanced cerebral recovery index for coma prognostication following cardiac arrest. EMBC 2015: 534-537 - [c12]Siddharth Biswal, Zarina Nip, Valdery Moura Junior
Automated information extraction from free-text EEG reports. EMBC 2015: 6804-6807 - [c11]David W. Zhou
Clustering analysis to identify distinct spectral components of encephalogram burst suppression in critically ill patients. EMBC 2015: 7258-7261 - [c10]Jingzhi An, Durga Jonnalagadda, Valdery Moura Junior
Spatial variation in automated burst suppression detection in pharmacologically induced coma. EMBC 2015: 7430-7433 - 2014
- [j9]Zuo Bai, Guang-Bin Huang
Sparse Extreme Learning Machine for Classification. IEEE Trans. Cybern. 44(10): 1858-1870 (2014) - [c9]Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover:
SpikeGUI: Software for rapid interictal discharge annotation via template matching and online machine learning. EMBC 2014: 4435-4438 - 2013
- [j8]Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh:
Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping. ACM Trans. Knowl. Discov. Data 7(3): 10:1-10:31 (2013) - [c8]M. Brandon Westover, ShiNung Ching, Mouhsin M. Shafi, Sydney S. Cash, Emery N. Brown:
Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression. EMBC 2013: 7108-7111 - 2012
- [c7]Alexander Van Esbroeck, M. Brandon Westover:
Data-driven modeling of sleep states from EEG. EMBC 2012: 5090-5093 - [c6]Stephanie Liddle, Lata Grover, Rachel Zhang, Maxim Khitrov, Joan C. Brown, J. Perren Cobb, Julian Goldman, Joseph Chou
Safety evaluation of a Medical Device Data System. EMBC 2012: 5899-5902 - [c5]Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh:
Searching and mining trillions of time series subsequences under dynamic time warping. KDD 2012: 262-270 - 2011
- [j7]Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover, Nima Bigdely Shamlo:
A disk-aware algorithm for time series motif discovery. Data Min. Knowl. Discov. 22(1-2): 73-105 (2011)
2000 – 2009
- 2009
- [c4]Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover:
Exact Discovery of Time Series Motifs. SDM 2009: 473-484 - 2008
- [j6]M. Brandon Westover, Joseph A. O'Sullivan
Achievable Rates for Pattern Recognition. IEEE Trans. Inf. Theory 54(1): 299-320 (2008) - [j5]M. Brandon Westover:
Asymptotic Geometry of Multiple Hypothesis Testing. IEEE Trans. Inf. Theory 54(7): 3327-3329 (2008) - 2006
- [c3]Joseph A. O'Sullivan, Naveen Singla, M. Brandon Westover:
Successive Refinement for Pattern Recognition. ITW 2006: 141-145 - 2005
- [c2]M. Brandon Westover, Joseph A. O'Sullivan
Achievable rates for pattern recognition: binary and Gaussian cases. ISIT 2005: 28-32 - [i1]M. Brandon Westover, Joseph A. O'Sullivan:
Achievable Rates for Pattern Recognition. CoRR abs/cs/0509022 (2005) - 2004
- [c1]M. Brandon Westover, Joseph A. O'Sullivan:
Towards an information theoretic framework for object recognition. ISIT 2004: 219 - 2003
- [j4]Brian J. Fischer, M. Brandon Westover:
The neural multiple access channel. Neurocomputing 52-54: 511-518 (2003) - [j3]M. Brandon Westover, Charles H. Anderson:
Layer 4C in monkey V1 may linearize the output of the LGN. Neurocomputing 52-54: 671-676 (2003) - 2002
- [j2]M. Brandon Westover, Chris Eliasmith, Charles H. Anderson:
Linearly decodable functions from neural population codes. Neurocomputing 44-46: 691-696 (2002) - [j1]Chris Eliasmith, M. Brandon Westover, Charles H. Anderson:
A general framework for neurobiological modeling: an application to the vestibular system. Neurocomputing 44-46: 1071-1076 (2002)
Coauthor Index
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