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Ram Mani

Affiliations: 
University of Pennsylvania, Philadelphia, PA, United States 
Area:
Epilepsy, Sleep
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"Ram Mani"
Bio:

Epilepsy fellow, U. Penn under Litt, Dichter, Crino

Mean distance: 14.28 (cluster 6)
 		SNBCP
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Parents

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Christopher Todd Anderson post-doc 2008- Penn
Brian Litt post-doc 2008- Penn
 (Epilepsy fellow)

Children

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Publications

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Anderson CT, Noble E, Mani R, et al. (2013) Epilepsy surgery: factors that affect patient decision-making in choosing or deferring a procedure. Epilepsy Research and Treatment. 2013: 309284
Laroche S, Mani R, Arif H, et al. (2013) In reply. Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society. 30: 210
LaRoche S, Mani R, Arif H, et al. (2013) In reply. Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society. 30: 102-3
Hirsch LJ, LaRoche SM, Gaspard N, et al. (2013) American Clinical Neurophysiology Society's Standardized Critical Care EEG Terminology: 2012 version. Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society. 30: 1-27
Mani R, Arif H, Hirsch LJ, et al. (2012) Interrater reliability of ICU EEG research terminology. Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society. 29: 203-12
Mani R, Schmitt SE, Mazer M, et al. (2012) The frequency and timing of epileptiform activity on continuous electroencephalogram in comatose post-cardiac arrest syndrome patients treated with therapeutic hypothermia. Resuscitation. 83: 840-7
Wulsin DF, Gupta JR, Mani R, et al. (2011) Modeling electroencephalography waveforms with semi-supervised deep belief nets: fast classification and anomaly measurement. Journal of Neural Engineering. 8: 036015
Park S, Roederer A, Mani R, et al. (2011) Limitations of threshold-based brain oxygen monitoring for seizure detection. Neurocritical Care. 15: 469-76
Wulsin D, Blanco J, Mani R, et al. (2010) Semi-supervised anomaly detection for EEG waveforms using deep belief nets Proceedings - 9th International Conference On Machine Learning and Applications, Icmla 2010. 436-441
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