David Gutman to Brain Neoplasms
This is a "connection" page, showing publications David Gutman has written about Brain Neoplasms.
Connection Strength
1.650
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Somatic mutations associated with MRI-derived volumetric features in glioblastoma. Neuroradiology. 2015 Dec; 57(12):1227-37.
Score: 0.386
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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: 0.323
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Predicting cancer outcomes from histology and genomics using convolutional networks. Proc Natl Acad Sci U S A. 2018 03 27; 115(13):E2970-E2979.
Score: 0.115
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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: 0.103
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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: 0.097
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Glioblastoma: imaging genomic mapping reveals sex-specific oncogenic associations of cell death. Radiology. 2015 Apr; 275(1):215-27.
Score: 0.092
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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: 0.089
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Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: a TCGA glioma phenotype research group project. BMC Med Genomics. 2014 Jun 02; 7:30.
Score: 0.088
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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: 0.087
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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: 0.080
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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: 0.073
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The proneural molecular signature is enriched in oligodendrogliomas and predicts improved survival among diffuse gliomas. PLoS One. 2010 Sep 03; 5(9):e12548.
Score: 0.068
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Interactive phenotyping of large-scale histology imaging data with HistomicsML. Sci Rep. 2017 11 06; 7(1):14588.
Score: 0.028
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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: 0.021