Third Party Licenses ----------------------------------------------------------------------- /*********************************************************************/ i. Multimodal Brain Tumor Segmentation Challenge 2018 https://www.med.upenn.edu/sbia/brats2018/data.html /*********************************************************************/ 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