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L C Baxter

Showing results (11-20 of 16) with videos related to

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Neurology|February 18, 2011
Cerebrovascular risk factors and preclinical memory decline in healthy APOE ε4 homozygotesR J Caselli, A C Dueck, D E C Locke, et al.
AJNR. American Journal of Neuroradiology|September 12, 2015
Impact of Software Modeling on the Accuracy of Perfusion MRI in GliomaL S Hu, Z Kelm, P Korfiatis, et al.
AJNR. American Journal of Neuroradiology|November 19, 2011
Correlations between perfusion MR imaging cerebral blood volume, microvessel quantification, and clinical outcome using stereotactic analysis in recurrent high-grade gliomaL S Hu, J M Eschbacher, A C Dueck, et al.
AJNR. American Journal of Neuroradiology|September 15, 2009
Optimized preload leakage-correction methods to improve the diagnostic accuracy of dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in posttreatment gliomasL S Hu, L C Baxter, D S Pinnaduwage, et al.
AJNR. American Journal of Neuroradiology|March 14, 2020
Performance of Standardized Relative CBV for Quantifying Regional Histologic Tumor Burden in Recurrent High-Grade Glioma: Comparison against Normalized Relative CBV Using Image-Localized Stereotactic BiopsiesJ M Hoxworth, J M Eschbacher, A C Gonzales, et al.
AJNR. American Journal of Neuroradiology|March 2, 2019
Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL S Hu, H Yoon, J M Eschbacher, et al.
Pageof 2

Showing results (11-20 of 16) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 16 results.
Neurology|February 18, 2011
Cerebrovascular risk factors and preclinical memory decline in healthy APOE ε4 homozygotesR J Caselli, A C Dueck, D E C Locke, et al.
AJNR. American Journal of Neuroradiology|September 12, 2015
Impact of Software Modeling on the Accuracy of Perfusion MRI in GliomaL S Hu, Z Kelm, P Korfiatis, et al.
AJNR. American Journal of Neuroradiology|November 19, 2011
Correlations between perfusion MR imaging cerebral blood volume, microvessel quantification, and clinical outcome using stereotactic analysis in recurrent high-grade gliomaL S Hu, J M Eschbacher, A C Dueck, et al.
AJNR. American Journal of Neuroradiology|September 15, 2009
Optimized preload leakage-correction methods to improve the diagnostic accuracy of dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in posttreatment gliomasL S Hu, L C Baxter, D S Pinnaduwage, et al.
AJNR. American Journal of Neuroradiology|March 14, 2020
Performance of Standardized Relative CBV for Quantifying Regional Histologic Tumor Burden in Recurrent High-Grade Glioma: Comparison against Normalized Relative CBV Using Image-Localized Stereotactic BiopsiesJ M Hoxworth, J M Eschbacher, A C Gonzales, et al.
AJNR. American Journal of Neuroradiology|March 2, 2019
Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer LearningL S Hu, H Yoon, J M Eschbacher, et al.
Pageof 2