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Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study

Lookup NU author(s): Professor Peter TaylorORCiD, Dr Rhys ThomasORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


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Author(s): Gleichgerrcht E, Munsell BC, Alhusaini S, Alvim MKM, Bargalló N, Bender B, Bernasconi A, Bernasconi N, Bernhardt B, Blackmon K, Caligiuri ME, Cendes F, Concha L, Desmond PM, Devinsky O, Doherty CP, Domin M, Duncan JS, Focke NK, Gambardella A, Gong B, Guerrini R, Hatton SN, Kälviäinen R, Keller SS, Kochunov P, Kotikalapudi R, Kreilkamp BAK, Labate A, Langner S, Larivière S, Lenge M, Lui E, Martin P, Mascalchi M, Meletti S, O'Brien TJ, Pardoe HR, Pariente JC, Xian Rao J, Richardson MP, Rodríguez-Cruces R, Rüber T, Sinclair B, Soltanian-Zadeh H, Stein DJ, Striano P, Taylor PN, Thomas RH, Vaudano AE, Vivash L, von Podewills F, Vos SB, Weber B, Yao Y, Lin Yasuda C, Zhang J, Thompson PM, Sisodiya SM, McDonald CR, Bonilha L

Publication type: Article

Publication status: Published

Journal: Neuroimage: Clinical

Year: 2021

Volume: 31

Online publication date: 24/07/2021

Acceptance date: 17/07/2021

Date deposited: 21/12/2021

ISSN (electronic): 2213-1582

Publisher: Elsevier

URL: https://doi.org/10.1016/j.nicl.2021.102765

DOI: 10.1016/j.nicl.2021.102765


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Funding

Funder referenceFunder name
Epilepsy Society UK
U54 EB020403

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