# The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-multimodal-brain-tumor-image-segmentation-benchmark-brats/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bjoern Menze,András Jakab,Stefan Bauer,Jayashree Kalpathy–Cramer,Keyvan Farahani,Justin Kirby,Yuliya Burren,Nicole Porz,Johannes Slotboom,Roland Wiest,Levente Lánczi,Elizabeth R. Gerstner,Marc‐André Weber,Tal Arbel,Brian Avants,Nicholas Ayache,Patricia Buendia,D. Louis Collins,Nicolas Cordier,Jason J. Corso,Antonio Criminisi,Tilak Das,Hervé Delingette,Çağatay Demiralp,Christopher R. Durst,Michel Dojat,Senan Doyle,Joana Festa,Florence Forbes,Ezequiel Geremia,Ben Glocker,Polina Golland,Xiaotao Guo,Andaç Hamamcı,Khan M. Iftekharuddin,Raj Jena,Nigel John,Ender Konukoğlu,Danial Lashkari,José Mariz,Raphael Meier,Sérgio Pereira,Doina Precup,Stephen J. Price,Tammy Riklin Raviv,Syed M. S. Reza,Michael J. Ryan,Duygu Sarıkaya,Lawrence H. Schwartz,Hoo-Chang Shin,Jamie Shotton,Carlos A. Silva,Nuno Sousa,Nagesh K. Subbanna,Gábor Székely,Thomas J. Taylor,Owen Thomas,Nicholas J. Tustison,Gözde Ünal,Flor Vasseur,Max Wintermark,Dong Hye Ye,Liang Zhao,Binsheng Zhao,Darko Zikic,Marcel Prastawa,Mauricio Reyes,Koen Van Leemput |
| Citations | 6,655 |
| DOI | 10.1109/tmi.2014.2377694 |
| Fields | Computer Science,Neuroscience |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://ieeexplore.ieee.org/ielx7/42/7283692/06975210.pdf |
| OpenAlex ID | https://openalex.org/W1641498739 |
| PMID | 25494501 |
| Type | article |
| Year | 2014 |

## Paper authors

- [Gábor Székely](https://scholariq.org/researchers/gabor-szekely/)

## Paper primary topic

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

## Paper topics

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.