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Scott N Hwang

Showing results (31-40 of 36) with videos related to

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The Lancet. Haematology|September 24, 2016
Leukoencephalopathy and long-term neurobehavioural, neurocognitive, and brain imaging outcomes in survivors of childhood acute lymphoblastic leukaemia treated with chemotherapy: a longitudinal analysisYin Ting Cheung, Noah D Sabin, Wilburn E Reddick, et al.
Journal of Neuroimaging in Psychiatry & Neurology|March 31, 2018
Assessing the Effects of Software Platforms on Volumetric Segmentation of GlioblastomaWilliam D Dunn, Hugo J W L Aerts, Lee A Cooper, et al.
BMC Medical Genomics|June 4, 2014
Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: a TCGA glioma phenotype research group projectRivka R Colen, Mark Vangel, Jixin Wang, et al.
Neuro-Oncology|July 24, 2015
Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survivalPattana Wangaryattawanich, Masumeh Hatami, Jixin Wang, et al.
Journal of Neuroradiology = Journal De Neuroradiologie|July 7, 2014
Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patientsManal Nicolasjilwan, Ying Hu, Chunhua Yan, et al.
Radiology|February 9, 2013
MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data setDavid A Gutman, Lee A D Cooper, Scott N Hwang, et al.
Pageof 4

Showing results (31-40 of 36) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 36 results.
The Lancet. Haematology|September 24, 2016
Leukoencephalopathy and long-term neurobehavioural, neurocognitive, and brain imaging outcomes in survivors of childhood acute lymphoblastic leukaemia treated with chemotherapy: a longitudinal analysisYin Ting Cheung, Noah D Sabin, Wilburn E Reddick, et al.
Journal of Neuroimaging in Psychiatry & Neurology|March 31, 2018
Assessing the Effects of Software Platforms on Volumetric Segmentation of GlioblastomaWilliam D Dunn, Hugo J W L Aerts, Lee A Cooper, et al.
BMC Medical Genomics|June 4, 2014
Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: a TCGA glioma phenotype research group projectRivka R Colen, Mark Vangel, Jixin Wang, et al.
Neuro-Oncology|July 24, 2015
Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survivalPattana Wangaryattawanich, Masumeh Hatami, Jixin Wang, et al.
Journal of Neuroradiology = Journal De Neuroradiologie|July 7, 2014
Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patientsManal Nicolasjilwan, Ying Hu, Chunhua Yan, et al.
Radiology|February 9, 2013
MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data setDavid A Gutman, Lee A D Cooper, Scott N Hwang, et al.
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