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i. Multimodal Brain Tumor Segmentation Challenge 2018
https://www.med.upenn.edu/sbia/brats2018/data.html
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Data Usage Agreement / Citations
You are free to use and/or refer to the BraTS datasets in your own
research, provided that you always cite the following two manuscripts:
[1] Menze BH, Jakab A, Bauer S, Kalpathy-Cramer J, Farahani K, Kirby
[J, Burren Y, Porz N, Slotboom J, Wiest R, Lanczi L, Gerstner E, Weber
[MA, Arbel T, Avants BB, Ayache N, Buendia P, Collins DL, Cordier N,
[Corso JJ, Criminisi A, Das T, Delingette H, Demiralp Γ, Durst CR,
[Dojat M, Doyle S, Festa J, Forbes F, Geremia E, Glocker B, Golland P,
[Guo X, Hamamci A, Iftekharuddin KM, Jena R, John NM, Konukoglu E,
[Lashkari D, Mariz JA, Meier R, Pereira S, Precup D, Price SJ, Raviv
[TR, Reza SM, Ryan M, Sarikaya D, Schwartz L, Shin HC, Shotton J,
[Silva CA, Sousa N, Subbanna NK, Szekely G, Taylor TJ, Thomas OM,
[Tustison NJ, Unal G, Vasseur F, Wintermark M, Ye DH, Zhao L, Zhao B,
[Zikic D, Prastawa M, Reyes M, Van Leemput K. "The Multimodal Brain
[Tumor Image Segmentation Benchmark (BRATS)", IEEE Transactions on
[Medical Imaging 34(10), 1993-2024 (2015) DOI:
[10.1109/TMI.2014.2377694
[2] Bakas S, Akbari H, Sotiras A, Bilello M, Rozycki M, Kirby JS,
[Freymann JB, Farahani K, Davatzikos C. "Advancing The Cancer Genome
[Atlas glioma MRI collections with expert segmentation labels and
[radiomic features", Nature Scientific Data, 4:170117 (2017) DOI:
[10.1038/sdata.2017.117
In addition, if there are no restrictions imposed from the
journal/conference you submit your paper about citing "Data
Citations", please be specific and also cite the following:
[3] Bakas S, Akbari H, Sotiras A, Bilello M, Rozycki M, Kirby J,
[Freymann J, Farahani K, Davatzikos C. "Segmentation Labels and
[Radiomic Features for the Pre-operative Scans of the TCGA-GBM
[collection", The Cancer Imaging Archive, 2017. DOI:
[10.7937/K9/TCIA.2017.KLXWJJ1Q
[4] Bakas S, Akbari H, Sotiras A, Bilello M, Rozycki M, Kirby J,
[Freymann J, Farahani K, Davatzikos C. "Segmentation Labels and
[Radiomic Features for the Pre-operative Scans of the TCGA-LGG
[collection", The Cancer Imaging Archive, 2017. DOI:
[10.7937/K9/TCIA.2017.GJQ7R0EF