David Gutman to Image Interpretation, Computer-Assisted
This is a "connection" page, showing publications David Gutman has written about Image Interpretation, Computer-Assisted.
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Validation of machine learning models to detect amyloid pathologies across institutions. Acta Neuropathol Commun. 2020 04 28; 8(1):59.
Score: 0.158
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Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017. J Am Acad Dermatol. 2020 Mar; 82(3):622-627.
Score: 0.150
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Digital imaging applications and informatics in dermatology. Semin Cutan Med Surg. 2019 Mar 01; 38(1):E43-E48.
Score: 0.146
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Interactive phenotyping of large-scale histology imaging data with HistomicsML. Sci Rep. 2017 11 06; 7(1):14588.
Score: 0.133
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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: 0.116
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Diffusion-weighted imaging of the brain at 7 T with echo-planar and turbo spin echo sequences: preliminary results. Magn Reson Imaging. 2011 Jul; 29(6):752-65.
Score: 0.085
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Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers. Cancer Res. 2021 02 15; 81(4):1171-1177.
Score: 0.041
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Glioblastoma: imaging genomic mapping reveals sex-specific oncogenic associations of cell death. Radiology. 2015 Apr; 275(1):215-27.
Score: 0.027
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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: 0.026
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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: 0.024