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Keyvan Farahani

Researcher at National Institutes of Health

Publications -  101
Citations -  11837

Keyvan Farahani is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Computer science & Magnetic resonance imaging. The author has an hindex of 36, co-authored 93 publications receiving 8574 citations. Previous affiliations of Keyvan Farahani include Brigham and Women's Hospital & University of California, Los Angeles.

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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.
Journal ArticleDOI

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

Spyridon Bakas, +8 more
- 05 Sep 2017 - 
TL;DR: This set of labels and features should enable direct utilization of the TCGA/TCIA glioma collections towards repeatable, reproducible and comparative quantitative studies leading to new predictive, prognostic, and diagnostic assessments, as well as performance evaluation of computer-aided segmentation methods.
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.
Posted Content

A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Amber L. Simpson, +23 more
- 25 Feb 2019 - 
TL;DR: A large, curated dataset representative of several highly variable segmentation tasks that was used in a crowd-sourced challenge - the Medical Segmentation Decathlon held during the 2018 Medical Image Computing and Computer Aided Interventions Conference in Granada, Spain.
Journal ArticleDOI

Simultaneous PET and MR imaging.

Yiping Shao, +6 more
- 01 Oct 1997 - 
TL;DR: A prototype PET detector which is compatible with a clinical MRI system to provide simultaneous PET and MR imaging was developed, and simultaneousPET and MR phantom images were successfully acquired.