Ram Mani
Affiliations: | University of Pennsylvania, Philadelphia, PA, United States |
Area:
Epilepsy, SleepGoogle:
"Ram Mani"Bio:
Epilepsy fellow, U. Penn under Litt, Dichter, Crino
Mean distance: 14.28 (cluster 6) | S | N | B | C | P |
Parents
Sign in to add mentorChristopher Todd Anderson | post-doc | 2008- | Penn | |
Brian Litt | post-doc | 2008- | Penn | |
(Epilepsy fellow) |
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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 |