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1.
Derntl, A. et al.: Stroke lesion segmentation using a probabilistic atlas of cerebral vascular territories. Lecture Notes Comp. Sci. (2015)
2.
Gutch, H.W.* ; Gruber, P.* ; Yeredor, A.* & Theis, F.J.: ICA over finite fields - separability and algorithms. Signal Process. 92, 1796-1808 (2012)
3.
Gutch, H.W.* ; Gruber, P.* & Theis, F.J.: ICA over finite fields. In: Vigneron, V.* ; Zarzoso, V.* ; Moreau, E.* [Eds.]: Proceedings (Latent variable analysis and signal separation : 9th international conference, 27-30 September 2010, St. Malo, France). Berlin: Springer, 2010. 645-652 ( ; 6365)
4.
Gruber, P.* ; Gutch, H.W.* & Theis, F.J.: Hierarchical extraction of independent subspaces of unknown dimensions. In: Adali, T.* [Eds.]: Independent Component Analysis and Signal Separation. Berlin: Springer, 2009. 259-266 (Lecture Notes Comp. Sci. ; 5441)
5.
Gruber, P. ; Meyer-Bäse, A.* ; Foo, S.* & Theis, F.J.: ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data. Eng. Appl. Artif. Intel. 22, 497-504 (2009)
6.
Lutter, D. et al.: Analyzing time-dependent microarray data using independent component analysis derived expression modes from human macrophages infected with F. tularensis holartica. J. Biomed. Inform. 42, 605-611 (2009)