Daniel T. Ginat to Sensitivity and Specificity
This is a "connection" page, showing publications Daniel T. Ginat has written about Sensitivity and Specificity.
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Analysis of head CT scans flagged by deep learning software for acute intracranial hemorrhage. Neuroradiology. 2020 Mar; 62(3):335-340.
Score: 0.129
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High-Resolution MRI Microscopy Coil Assessment of Parotid Masses. Ear Nose Throat J. 2019 Oct-Nov; 98(9):562-565.
Score: 0.123
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Diffusion-weighted imaging for differentiating benign from malignant skull lesions and correlation with cell density. AJR Am J Roentgenol. 2012 Jun; 198(6):W597-601.
Score: 0.077
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Correlation between dynamic contrast-enhanced perfusion MRI relative cerebral blood volume and vascular endothelial growth factor expression in meningiomas. Acad Radiol. 2012 Aug; 19(8):986-90.
Score: 0.076
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Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study. Magn Reson Imaging. 2019 11; 63:244-249.
Score: 0.032
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Use of Diffusion Weighted Imaging in Differentiating Between Maligant and Benign Meningiomas. A Multicenter Analysis. World Neurosurg. 2016 Apr; 88:598-602.
Score: 0.024
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Imaging of pediatric head and neck masses. Otolaryngol Clin North Am. 2015 Feb; 48(1):225-46.
Score: 0.023