| Year |
Citation |
Score |
| 2016 |
Ung H, Davis KA, Wulsin D, Wagenaar J, Fox E, McDonnell JJ, Patterson N, Vite CH, Worrell G, Litt B. Temporal behavior of seizures and interictal bursts in prolonged intracranial recordings from epileptic canines. Epilepsia. PMID 27807850 DOI: 10.1111/Epi.13591 |
0.756 |
|
| 2016 |
Baldassano S, Wulsin D, Ung H, Blevins T, Brown MG, Fox E, Litt B. A novel seizure detection algorithm informed by hidden Markov model event states. Journal of Neural Engineering. 13: 036011. PMID 27098152 DOI: 10.1088/1741-2560/13/3/036011 |
0.688 |
|
| 2016 |
Wulsin DF, Jensen ST, Litt B. Nonparametric multi-level clustering of human epilepsy seizures The Annals of Applied Statistics. 10: 667-689. DOI: 10.1214/15-Aoas851 |
0.665 |
|
| 2015 |
Davis KA, Ung H, Wulsin D, Wagenaar J, Fox E, Patterson N, Vite C, Worrell G, Litt B. Mining continuous intracranial EEG in focal canine epilepsy: Relating interictal bursts to seizure onsets. Epilepsia. PMID 26608448 DOI: 10.1111/Epi.13249 |
0.766 |
|
| 2014 |
Wulsin DF, Fox EB, Litt B. Modeling the Complex Dynamics and Changing Correlations of Epileptic Events. Artificial Intelligence. 216: 55-75. PMID 25284825 DOI: 10.1016/J.Artint.2014.05.006 |
0.656 |
|
| 2013 |
Pearce A, Wulsin D, Blanco JA, Krieger A, Litt B, Stacey WC. Temporal changes of neocortical high-frequency oscillations in epilepsy. Journal of Neurophysiology. 110: 1167-79. PMID 23761699 DOI: 10.1152/Jn.01009.2012 |
0.751 |
|
| 2013 |
Wulsin DF, Fox EB, Litt B. Parsing epileptic events using a Markov switching process for correlated time series 30th International Conference On Machine Learning, Icml 2013. 356-364. |
0.451 |
|
| 2012 |
Wulsin D, Jensen S, Litt B. A hierarchical dirichlet process model with multiple levels of clustering for human EEG seizure modeling Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 57-64. |
0.61 |
|
| 2011 |
Wulsin D, Litt B. An unsupervised method for identifying regions that initiate seizures on intracranial EEG. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 3091-4. PMID 22254993 DOI: 10.1109/IEMBS.2011.6090844 |
0.684 |
|
| 2011 |
Viventi J, Kim DH, Vigeland L, Frechette ES, Blanco JA, Kim YS, Avrin AE, Tiruvadi VR, Hwang SW, Vanleer AC, Wulsin DF, Davis K, Gelber CE, Palmer L, Van der Spiegel J, et al. Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivo. Nature Neuroscience. 14: 1599-605. PMID 22081157 DOI: 10.1038/Nn.2973 |
0.553 |
|
| 2011 |
Wulsin DF, Gupta JR, Mani R, Blanco JA, Litt B. Modeling electroencephalography waveforms with semi-supervised deep belief nets: fast classification and anomaly measurement. Journal of Neural Engineering. 8: 036015. PMID 21525569 DOI: 10.1088/1741-2560/8/3/036015 |
0.684 |
|
| 2011 |
Pearce A, Wulsin D, Litt B, Blanco J. Does the morphology of high-frequency (100-500 Hz) brain oscillations change during epileptic seizures? Conference Record - Asilomar Conference On Signals, Systems and Computers. 461-465. DOI: 10.1109/ACSSC.2011.6190042 |
0.728 |
|
| 2010 |
Wulsin D, Blanco J, Mani R, Litt B. Semi-supervised anomaly detection for EEG waveforms using deep belief nets Proceedings - 9th International Conference On Machine Learning and Applications, Icmla 2010. 436-441. DOI: 10.1109/ICMLA.2010.71 |
0.681 |
|
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