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Elizabeth R. Gerstner

Researcher at Harvard University

Publications -  195
Citations -  13173

Elizabeth R. Gerstner is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Temozolomide. The author has an hindex of 43, co-authored 168 publications receiving 9968 citations. Previous affiliations of Elizabeth R. Gerstner include University of Oslo & Columbia University.

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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Bjoern H. Menze, +67 more
- 01 Oct 2015 - 
TL;DR: The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) as mentioned in this paper was organized in conjunction with the MICCAI 2012 and 2013 conferences, and twenty state-of-the-art tumor segmentation algorithms were applied to a set of 65 multi-contrast MR scans of low and high grade glioma patients.
Posted ContentDOI

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, +438 more
- 05 Nov 2018 - 
TL;DR: This study assesses the state-of-the-art machine learning methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018, and investigates the challenge of identifying the best ML algorithms for each of these tasks.
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Phase II Study of Cediranib, an Oral Pan–Vascular Endothelial Growth Factor Receptor Tyrosine Kinase Inhibitor, in Patients With Recurrent Glioblastoma

Tracy T. Batchelor, +19 more
- 10 Jun 2010 - 
TL;DR: Cediranib monotherapy for recurrent glioblastoma is associated with encouraging proportions of radiographic response, 6-month progression-free survival, and a steroid-sparing effect with manageable toxicity.
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Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials

Benjamin M. Ellingson, +41 more
- 01 Sep 2015 - 
TL;DR: The current document outlines consensus recommendations for a standardized Brain Tumor Imaging Protocol (BTIP), along with the scientific and practical justifications for these recommendations, resulting from a series of discussions between various experts involved in aspects of neuro-oncology neuroimaging for clinical trials.
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Detection of 2-Hydroxyglutarate in IDH-Mutated Glioma Patients by In Vivo Spectral-Editing and 2D Correlation Magnetic Resonance Spectroscopy

Ovidiu C. Andronesi, +8 more
- 11 Jan 2012 - 
TL;DR: The authors show that in vivo brain imaging for genotyping cancer patients is a possibility—one that would avoid invasive clinical procedures and help doctors not only predict cancer outcomes but also effectively treat tumors on the basis of grade and genetic makeup.