Article Information
PubMed
Published By
Print ISSN
Online ISSN
History
- Received May 20, 2012
- Accepted after revision May 26, 2012
- Published online March 14, 2013.
Article Versions
- Latest version (September 20, 2012 - 06:44).
- You are viewing the most recent version of this article.
Copyright & Usage
© 2013 by American Journal of Neuroradiology
Author Information
- B.M. Ellingsona,b,c,
- A. Laid,
- R.J. Harrisa,b,
- J.M. Selfridged,
- W.H. Yonge,
- K. Dase,
- W.B. Popea,
- P.L. Nghiemphud,
- H.V. Vinterse,
- L.M. Liauf,
- P.S. Mischele and
- T.F. Cloughesyd
- aFrom the Departments of Radiological Sciences (B.M.E., R.J.H., W.B.P.)
- bBiomedical Physics (B.M.E., R.J.H.)
- cBiomedical Engineering (B.M.E.)
- dNeurology (A.L., J.M.S., P.L.N., T.F.C.)
- ePathology and Laboratory Medicine (W.H.Y., K.D., H.V.V., P.S.M.)
- fNeurosurgery (L.M.L.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
- Please address correspondence to Benjamin M. Ellingson, PhD, Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, 924 Westwood Blvd, Suite 615, Los Angeles, CA 90024; e-mail: bellingson{at}mednet.ucla.edu
Altmetrics
Cited By...
In this issue
Jump to section
Related Articles
Cited By...
- IDH-mutant gliomas arise from glial progenitor cells harboring the initial driver mutation
- Unravelling the Impact of Tumor Location on Patient Survival in Glioblastoma: A Genomics and Radiomics Approach
- Overview of prognostic factors in adult glioma; a 10-year experience at a single institution
- A birds eye view to the homeostatic, Alzheimer and Glioblastoma attractors
- Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients
- Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas
- Computational Identification of Tumor Anatomic Location Associated with Survival in 2 Large Cohorts of Human Primary Glioblastomas
- Fluoroscopy Operators Brains and Radiation
- Quantification of Nonenhancing Tumor Burden in Gliomas Using Effective T2 Maps Derived from Dual-Echo Turbo Spin-Echo MRI
- Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities
- Mapping p53 Mutations in Low-Grade Glioma: A Voxel-Based Neuroimaging Analysis