M. Brandon Westover, MD, PhD
M. Brandon Westover, MD, PhD
Harvard Medical School / Massachusetts General Hospital
Verified email at mgh.harvard.edu
Cited by
Cited by
Searching and mining trillions of time series subsequences under dynamic time warping
T Rakthanmanon, B Campana, A Mueen, G Batista, B Westover, Q Zhu, ...
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Exact discovery of time series motifs
A Mueen, E Keogh, Q Zhu, S Cash, B Westover
Proceedings of the 2009 SIAM international conference on data mining, 473-484, 2009
Characterizing brain cortical plasticity and network dynamics across the age-span in health and disease with TMS-EEG and TMS-fMRI
A Pascual-Leone, C Freitas, L Oberman, JC Horvath, M Halko, M Eldaief, ...
Brain topography 24 (3-4), 302, 2011
New-onset refractory status epilepticus: etiology, clinical features, and outcome
N Gaspard, BP Foreman, V Alvarez, CC Kang, JC Probasco, ...
Neurology 85 (18), 1604-1613, 2015
Sparse extreme learning machine for classification
Z Bai, GB Huang, D Wang, H Wang, MB Westover
IEEE transactions on cybernetics 44 (10), 1858-1870, 2014
The continuum of spreading depolarizations in acute cortical lesion development: examining Leao’s legacy
JA Hartings, CW Shuttleworth, SA Kirov, C Ayata, JM Hinzman, ...
Journal of Cerebral Blood Flow & Metabolism 37 (5), 1571-1594, 2017
Addressing big data time series: Mining trillions of time series subsequences under dynamic time warping
T Rakthanmanon, B Campana, A Mueen, G Batista, B Westover, Q Zhu, ...
ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (3), 1-31, 2013
Recording, analysis, and interpretation of spreading depolarizations in neurointensive care: review and recommendations of the COSBID research group
JP Dreier, M Fabricius, C Ayata, OW Sakowitz, C William Shuttleworth, ...
Journal of Cerebral Blood Flow & Metabolism 37 (5), 1595-1625, 2017
Effects of sevoflurane and propofol on frontal electroencephalogram power and coherence
O Akeju, MB Westover, KJ Pavone, AL Sampson, KE Hartnack, EN Brown, ...
Anesthesiology: The Journal of the American Society of Anesthesiologists 121 …, 2014
Exploration and modulation of brain network interactions with noninvasive brain stimulation in combination with neuroimaging
MM Shafi, MB Westover, MD Fox, A Pascual‐Leone
European Journal of Neuroscience 35 (6), 805-825, 2012
Statin use following intracerebral hemorrhage: a decision analysis
MB Westover, MT Bianchi, MH Eckman, SM Greenberg
Archives of neurology 68 (5), 573-579, 2011
Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling
N Sinha, J Dauwels, M Kaiser, SS Cash, M Brandon Westover, Y Wang, ...
Brain 140 (2), 319-332, 2017
Emergence of stable functional networks in long-term human electroencephalography
CJ Chu, MA Kramer, J Pathmanathan, MT Bianchi, MB Westover, L Wizon, ...
Journal of Neuroscience 32 (8), 2703-2713, 2012
Interrater agreement for critical care EEG terminology
N Gaspard, LJ Hirsch, SM LaRoche, CD Hahn, MB Westover, ...
Epilepsia 55 (9), 1366-1373, 2014
Estimating cerebral microinfarct burden from autopsy samples
MB Westover, MT Bianchi, C Yang, JA Schneider, SM Greenberg
Neurology 80 (15), 1365-1369, 2013
A comparison of propofol-and dexmedetomidine-induced electroencephalogram dynamics using spectral and coherence analysis
O Akeju, KJ Pavone, MB Westover, R Vazquez, MJ Prerau, PG Harrell, ...
Anesthesiology: The Journal of the American Society of Anesthesiologists 121 …, 2014
The probability of seizures during EEG monitoring in critically ill adults
MB Westover, MM Shafi, MT Bianchi, LMVR Moura, D O’rourke, ...
Clinical Neurophysiology 126 (3), 463-471, 2015
Early prediction of sepsis from clinical data: the PhysioNet/Computing in Cardiology Challenge 2019
MA Reyna, C Josef, S Seyedi, R Jeter, SP Shashikumar, MB Westover, ...
2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019
Absence of early epileptiform abnormalities predicts lack of seizures on continuous EEG
MM Shafi, MB Westover, AJ Cole, RD Kilbride, DB Hoch, SS Cash
Neurology 79 (17), 1796-1801, 2012
SLEEPNET: automated sleep staging system via deep learning
S Biswal, J Kulas, H Sun, B Goparaju, MB Westover, MT Bianchi, J Sun
arXiv preprint arXiv:1707.08262, 2017
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