Convolutional neural network-aided tuber segmentation in tuberous sclerosis complex patients correlates with electroencephalogram

Park, D. K., Kim, W., Thornburg, O. S., McBrian, D. K., McKhann, G. M., Feldstein, N. A., Maddocks, A. B., Gonzalez, E., Shen, M. Y., Akman, C., & Provenzano, F. A. (2022). Convolutional neural network‐aided tuber segmentation in tuberous sclerosis complex patients correlates with electroencephalogram. Epilepsia, 63(6), 1530–1541. Portico. https://doi.org/10.1111/epi.17227
Authors:
David K. Park
Woojoong Kim
Olivia S. Thornburg
Danielle K. McBrian
Guy M. McKhann
Neil A. Feldstein
Alexis B. Maddocks
Elena Gonzalez
Min Y. Shen
Cigdem Akman
Frank A. Provenzano
Affiliated Authors:
David K. Park
Woojoong Kim
Olivia S. Thornburg
Danielle K. McBrian
Guy M. McKhann
Neil A. Feldstein
Alexis B. Maddocks
Elena Gonzalez
Min Y. Shen
Cigdem Akman
Frank A. Provenzano
Columbia Affiliation:
Subjects:
Epilepsy (MeSH)
Tuberous Sclerosis (MeSH)
Author Keywords:
deep learning
epilepsy
neuroimaging
tuber burden
tuberous sclerosis complex
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Publication Type:
Article
Unique ID:
10.1111/epi.17227
PMID:
35301716
DOI:
10.1111/epi.17227
Journal:
Epilepsia
Publication Date:
Data Source:
Scopus
Source Link:
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