1. Pinto, A. et al.: Brain tumour segmentation based on extremely randomized forest with high-level features. In: IEEE Proceedings of 37th Annual International Conference on EMBC, 2015, pp. 3037–3040 (2015)
2. Krinidis, S., Chatzis, V.: A robust Fuzzy, local information C-means clustering algorithm. IEEE Trans. Image Process. 19(5) (2010)
3. Jui, S.-L., Zhang, S., Xiong, W., Yu, F., Fu, M., Wang, D.: Brain MRI tumor segmentation with 3D intracranial structure deformation features. IEEE Intell. Syst. 31(2), 66–76 (2016)
4. Liu, W., He, J. F., Chang, S.-F.: Large graph construction for scalable semi- supervised learning. In: Proceedings of International Conference on Machine Learning, pp. 679–686 (2010)
5. Gooya, A., et al.: GLISTR: Glioma image segmentation and registration. IEEE Trans. Med. Imaging 31(10), 1941–1954 (2012)