M. Prastawa, E. Bullitt, S. Ho, and G. Gerig, “A brain tumor segmentation framework based on outlier detection,” MedicalImageAnalysis,vol.8,no.3,pp.275–283,2004.
M. B. Cuadra, C. Pollo, A. Bardera, O. Cuisenaire, J.-G. Villemure,andJ.-P.Thiran,“Atlas-basedsegmentationof pathological MR brain images using a model of lesion growth,”IEEE Transactions on Medical Imaging,vol.23, no. 10, pp. 1301–1314, 2004.
E. I. Zacharaki, D. Shen, S.-K. Lee, and C. Davatzikos, “ORBIT: A multiresolution framework for deformable registration of brain tumor images,” IEEE Transactions on Medical Imaging, vol. 27,no. 8, pp. 1003–1017, 2008.
B. H. Menze, K. van Leemput, D. Lashkari, M.-A. Weber, N. Ayache, and P. Golland, “A generative model for brain tumor segmentation in multi-modal images,” in Proc. of MICCAI, pp. 151–159, Springer, 2010.
3. 基于传统机器学习进行分割（看几篇传统方法的论文）
A. Islam, S. M. S. Reza, and K. M. Iftekharuddin, “Multifractal texture estimation for detection and segmentation of brain tumors,” IEEE Transactions on Biomedical Engineering, vol. 60, no. 11, pp. 3204–3215, 2013.
N. K. Subbanna, D. Precup, D. L. Collins, and T. Arbel, “Hierarchical probabilistic Gabor and MRF segmentation of brain tumours in MRI volumes,” in Proc. of International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 751–758, Springer, 2013.
W. Wu, A. Y. C. Chen, L. Zhao, and J. J. Corso, “Brain tumor detection and segmentation in a CRF (conditional random ?elds) framework with pixel-pairwise af?nity and superpixel-level features,” International Journal of Computer Assisted Radiology and Surgery, vol. 9, no. 2,pp. 241–253, 2014.
M. Soltaninejad, G. Yang, T. Lambrou, N. Allinson, T. L. Jones, T. R. Barrick, F. A. Howe, and X. Ye, “Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI,” International Journal of Computer Assisted Radiology and Surgery, vol. 12, no. 2, pp. 183– 203, 2017.
D. Zikic, B. Glocker, E. Konukoglu, A. Criminisi, C. Demiralp, J. Shotton, O. M. Thomas, T. Das, R. Jena, and S. J. Price, “Decision forests for tissue-speci?c segmentation of high-grade gliomas in multi-channel MR,” in Proc. of MICCAI, pp. 369–376, Springer, 2012.
