Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images

Author:

Geremia Ezequiel,Menze Bjoern H.,Clatz Olivier,Konukoglu Ender,Criminisi Antonio,Ayache Nicholas

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Leemput, K.V., Maes, F., Vandermeulen, D., Colchester, A.C.F., Suetens, P.: Automated segmentation of multiple sclerosis lesions by model outlier detection. IEEE Trans. Med. Imaging 20(8), 677–688 (2001)

2. Dugas-Phocion, G., Ballester, M.Á.G., Malandain, G., Ayache, N., Lebrun, C., Chanalet, S., Bensa, C.: Hierarchical segmentation of multiple sclerosis lesions in multi-sequence MRI. In: ISBI, pp. 157–160. IEEE, Los Alamitos (2004)

3. Souplet, J.C., Lebrun, C., Ayache, N., Malandain, G.: An automatic segmentation of T2-FLAIR multiple sclerosis lesions. The MIDAS Journal - MS Lesion Segmentation (MICCAI 2008 Workshop) (2008)

4. Freifeld, O., Greenspan, H., Goldberger, J.: Multiple sclerosis lesion detection using constrained GMM and curve evolution. J. of Biomed. Imaging 2009, 1–13 (2009)

5. Akselrod-Ballin, A., Galun, M., Basri, R., Brandt, A., Gomori, M.J., Filippi, M., Valsasina, P.: An integrated segmentation and classification approach applied to multiple sclerosis analysis. In: CVPR 2006, pp. 1122–1129. IEEE, Los Alamitos (2006)

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