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Validation of computational lesion detection methods in magnetic resonance imaging–negative, focal epilepsy

Kanber, B; Duncan, JS; Rodionov, R; Chowdhury, FA; Winston, GP; (2020) Validation of computational lesion detection methods in magnetic resonance imaging–negative, focal epilepsy. Epilepsia , 61 (4) pp. 828-830. 10.1111/epi.16461. Green open access

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Type: Article
Title: Validation of computational lesion detection methods in magnetic resonance imaging–negative, focal epilepsy
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/epi.16461
Publisher version: https://doi.org/10.1111/epi.16461
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: MRI, detection, epilepsy, lesion, negative
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Experimental Epilepsy
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10093188
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