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Machine Learning for Localizing Epileptogenic-Zone in the Temporal Lobe: Quantifying the Value of Multimodal Clinical-Semiology and Imaging Concordance.
Alim-Marvasti, Ali; Pérez-García, Fernando; Dahele, Karan; Romagnoli, Gloria; Diehl, Beate; Sparks, Rachel; Ourselin, Sebastien; Clarkson, Matthew J; Duncan, John S.
Afiliação
  • Alim-Marvasti A; Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
  • Pérez-García F; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
  • Dahele K; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, United Kingdom.
  • Romagnoli G; National Hospital for Neurology and Neurosurgery, London, United Kingdom.
  • Diehl B; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
  • Sparks R; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, United Kingdom.
  • Ourselin S; School of Biomedical Engineering & Imaging Sciences (BMEIS), King's College London, London, United Kingdom.
  • Clarkson MJ; University College London Medical School, London, United Kingdom.
  • Duncan JS; Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
Front Digit Health ; 3: 559103, 2021.
Article em En | MEDLINE | ID: mdl-34713078

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Revista: Front Digit Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Revista: Front Digit Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido