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Improved prediction of postoperative pediatric cerebellar mutism syndrome using an artificial neural network.
Sidpra, Jai; Marcus, Adam P; Löbel, Ulrike; Toescu, Sebastian M; Yecies, Derek; Grant, Gerald; Yeom, Kristen; Mirsky, David M; Marcus, Hani J; Aquilina, Kristian; Mankad, Kshitij.
Affiliation
  • Sidpra J; University College London Medical School, London, UK.
  • Marcus AP; Developmental Biology and Cancer Section, University College London Great Ormond Street Institute of Child Health, London, UK.
  • Löbel U; Department of Neuroradiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
  • Toescu SM; Department of Brain Sciences and Computing, Imperial College London, London, UK.
  • Yecies D; Department of Neuroradiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
  • Grant G; Department of Neurosurgery, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
  • Yeom K; Developmental Imaging and Biophysics Section, University College London Great Ormond Street Institute of Child Health, London, UK.
  • Mirsky DM; Department of Neurosurgery, Lucile Packard Children's Hospital, Stanford, California, USA.
  • Marcus HJ; Department of Neurosurgery, Lucile Packard Children's Hospital, Stanford, California, USA.
  • Aquilina K; Department of Neuroradiology, Lucile Packard Children's Hospital, Stanford, California, USA.
  • Mankad K; Department of Radiology, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado, USA.
Neurooncol Adv ; 4(1): vdac003, 2022.
Article in En | MEDLINE | ID: mdl-35233531
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Neurooncol Adv Year: 2022 Document type: Article Affiliation country: United kingdom Country of publication: United kingdom
Fulltext
Add to My VHL
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Neurooncol Adv Year: 2022 Document type: Article Affiliation country: United kingdom Country of publication: United kingdom