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Mauricio Reyes

Researcher at University of Bern

Publications -  247
Citations -  14384

Mauricio Reyes is an academic researcher from University of Bern. The author has contributed to research in topics: Segmentation & Computer science. The author has an hindex of 38, co-authored 223 publications receiving 10031 citations. Previous affiliations of Mauricio Reyes include Analysis Group & French Institute for Research in Computer Science and Automation.

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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.
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The Multimodal Brain TumorImage Segmentation Benchmark (BRATS)

Bjoern H. Menze, +4 more
TL;DR: The set-up and results of the Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and 2013 conferences are reported, finding that different algorithms worked best for different sub-regions, but that no single algorithm ranked in the top for all sub-Regions simultaneously.
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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A survey of MRI-based medical image analysis for brain tumor studies

Stefan Bauer, +3 more
- 07 Jul 2013 - 
TL;DR: The state of the art in segmentation, registration and modeling related to tumor-bearing brain images with a focus on gliomas is reviewed, giving special attention to recent developments in radiological tumor assessment guidelines.
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ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

Oskar Maier, +50 more
- 01 Jan 2017 - 
TL;DR: This paper proposes a common evaluation framework for automatic stroke lesion segmentation from MRIP, describes the publicly available datasets, and presents the results of the two sub‐challenges: Sub‐Acute Stroke Lesion Segmentation (SISS) and Stroke Perfusion Estimation (SPES).