Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Kaavya R. Raman"'
Autor:
Sahil Aggarwal, Lee, Debora, Patel, Priya A., Raja, Shella K., Fenning, Reece T.H., Minteer, William B., Bernstein, Megan E., Lieber, Mark, Farfel, Allison O., Kaavya R. Raman, Denny, Sean P., Diamond, Catherine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fc7bd7b4a5efec32e3e5c6d782ee9c7
Autor:
Jerome Engel, Justine M. Le, Eric S. Hwang, Andrew Y. Cho, Chelsea T. Braesch, Emily A. Janio, Mark S. Cohen, Edward Lau, Emily C. Davis, Wesley T. Kerr, John M. Stern, Akash B. Patel, Sarah E. Barritt, Daniel H.S. Silverman, Ariana Anderson, Jessica M. Hori, Kaavya R. Raman, Noriko Salamon
Publikováno v:
PRNI
Kerr, WT; Hwang, ES; Raman, KR; Barritt, SE; Patel, AB; Le, JM; et al.(2014). Multimodal diagnosis of epilepsy using conditional dependence and multiple imputation. Proceedings-2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014. doi: 10.1109/PRNI.2014.6858526. UCLA: Retrieved from: http://www.escholarship.org/uc/item/5rr091p1
Kerr, WT; Hwang, ES; Raman, KR; Barritt, SE; Patel, AB; Le, JM; et al.(2014). Multimodal diagnosis of epilepsy using conditional dependence and multiple imputation. Proceedings-2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014. doi: 10.1109/PRNI.2014.6858526. UCLA: Retrieved from: http://www.escholarship.org/uc/item/5rr091p1
The definitive diagnosis of the type of epilepsy, if it exists, in medication-resistant seizure disorder is based on the efficient combination of clinical information, long-term video-electroencephalography (EEG) and neuroimaging. Diagnoses are reach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f48132e9686939dba735e0fce8bfda3
https://doi.org/10.1109/prni.2014.6858526
https://doi.org/10.1109/prni.2014.6858526
Autor:
Eric S. Hwang, Mark S. Cohen, Stefan T. Nguyen, Ariana Anderson, Wesley T. Kerr, Kaavya R. Raman, Navya M. Reddy, Daniel H.S. Silverman, Edward Lau, Aaron Trefler, Andrew Y. Cho, Pamela K. Douglas
Publikováno v:
PRNI
The application of machine learning to epilepsy can be used both to develop clinically useful computer-aided diagnostic tools, and to reveal pathologically relevant insights into the disease. Such studies most frequently use neurologically normal pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aef800a881a560d2fb6a8c3a6c6f50ad
https://europepmc.org/articles/PMC4188528/
https://europepmc.org/articles/PMC4188528/