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Neuro-Oncology|July 17, 2013
Phase II study of irinotecan in combination with temozolomide (TEMIRI) in children with recurrent or refractory medulloblastoma: a joint ITCC and SIOPE brain tumor studyJacques Grill, Birgit Geoerger, Lyle Gesner, et al.
The British Journal of Radiology|February 21, 2023
Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI dataStephen J Powell, Stephanie B Withey, Yu Sun, et al.
Acta Neuropathologica|January 8, 2013
DNA methylation profiling of medulloblastoma allows robust subclassification and improved outcome prediction using formalin-fixed biopsiesEdward C Schwalbe, Daniel Williamson, Janet C Lindsey, et al.
Cell Reports|August 4, 2022
Medulloblastoma group 3 and 4 tumors comprise a clinically and biologically significant expression continuum reflecting human cerebellar developmentDaniel Williamson, Edward C Schwalbe, Debbie Hicks, et al.
Blood|October 8, 2008
A comprehensive analysis of the CDKN2A gene in childhood acute lymphoblastic leukemia reveals genomic deletion, copy number neutral loss of heterozygosity, and association with specific cytogenetic subgroupsSarina Sulong, Anthony V Moorman, Julie A E Irving, et al.
The Journal of Pathology|April 18, 2009
Activation of the ERK/MAPK pathway: a signature genetic defect in posterior fossa pilocytic astrocytomasTim Forshew, Ruth G Tatevossian, Andrew R J Lawson, et al.
Neuro-Oncology|June 13, 2017
Phase I study of oral sonidegib (LDE225) in pediatric brain and solid tumors and a phase II study in children and adults with relapsed medulloblastomaMark W Kieran, Julia Chisholm, Michela Casanova, et al.
Bioorganic & Medicinal Chemistry Letters|August 12, 2008
Physiochemical drug properties associated with in vivo toxicological outcomesJason D Hughes, Julian Blagg, David A Price, et al.
Scientific Reports|February 5, 2021
Classification of paediatric brain tumours by diffusion weighted imaging and machine learningJan Novak, Niloufar Zarinabad, Heather Rose, et al.
Scientific Reports|September 24, 2021
Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumorsJames T Grist, Stephanie Withey, Christopher Bennett, et al.
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