Author:
Han Xu,Shen Zhengyang,Xu Zhenlin,Bakas Spyridon,Akbari Hamed,Bilello Michel,Davatzikos Christos,Niethammer Marc
Publisher
Springer International Publishing
Reference29 articles.
1. Akbari, H., et al.: Imaging surrogates of infiltration obtained via multiparametric imaging pattern analysis predict subsequent location of recurrence of glioblastoma. Neurosurgery 78(4), 572–580 (2016)
2. Aljabar, P., Heckemann, R.A., Hammers, A., Hajnal, J.V., Rueckert, D.: Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy. Neuroimage 46(3), 726–738 (2009)
3. Avants, B.B., Tustison, N., Song, G.: Advanced normalization tools (ANTS). Insight J. 2(365), 1–35 (2009)
4. Bakas, S., et al.: Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features. Sci. Data 4, 170117 (2017)
5. Bakas, S., et al.: Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. arXiv preprint arXiv:1811.02629 (2018)
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