David Gutman to Glioblastoma
This is a "connection" page, showing publications David Gutman has written about Glioblastoma.
Connection Strength
1.908
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Somatic mutations associated with MRI-derived volumetric features in glioblastoma. Neuroradiology. 2015 Dec; 57(12):1227-37.
Score: 0.415
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MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set. Radiology. 2013 May; 267(2):560-9.
Score: 0.347
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5-Aminolevulinic Acid Guided Sampling of Glioblastoma Microenvironments Identifies Pro-Survival Signaling at Infiltrative Margins. Sci Rep. 2017 Nov 15; 7(1):15593.
Score: 0.121
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Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma. BMC Cancer. 2016 08 08; 16:611.
Score: 0.111
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Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features. Sci Rep. 2015 Nov 18; 5:16822.
Score: 0.105
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A combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastoma. J Neurosurg. 2016 Apr; 124(4):1008-17.
Score: 0.105
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Glioblastoma: imaging genomic mapping reveals sex-specific oncogenic associations of cell death. Radiology. 2015 Apr; 275(1):215-27.
Score: 0.098
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Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients. J Neuroradiol. 2015 Jul; 42(4):212-21.
Score: 0.096
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Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor. Radiology. 2014 Aug; 272(2):484-93.
Score: 0.094
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Tumor-infiltrating lymphocytes in glioblastoma are associated with specific genomic alterations and related to transcriptional class. Clin Cancer Res. 2013 Sep 15; 19(18):4951-60.
Score: 0.089
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Genomic mapping and survival prediction in glioblastoma: molecular subclassification strengthened by hemodynamic imaging biomarkers. Radiology. 2013 Apr; 267(1):212-20.
Score: 0.086
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The tumor microenvironment strongly impacts master transcriptional regulators and gene expression class of glioblastoma. Am J Pathol. 2012 May; 180(5):2108-19.
Score: 0.082
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Integrated morphologic analysis for the identification and characterization of disease subtypes. J Am Med Inform Assoc. 2012 Mar-Apr; 19(2):317-23.
Score: 0.081
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Integrative, multimodal analysis of glioblastoma using TCGA molecular data, pathology images, and clinical outcomes. IEEE Trans Biomed Eng. 2011 Dec; 58(12):3469-74.
Score: 0.079