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Article

Habl, M. and Bauer, Christoph and Ziegaus, Ch. and Schulmeyer, F. and Lang, Elmar (2000) Analyzing brain tumor related EEG signals using a generalized overcomplete ICA algorithm. Verhandlungen der Deutschen Physikalischen Gesellschaft. Reihe 6 35.

Book Section

Habl, M. and Bauer, Ch. and Lang, Elmar W. (2001) Analyzing biomedical signals with probabilistic ICA and kernel-based source density estimation. In: Sebaaly, Milad Fares, (ed.) Proceedings of the International NAISO Congress on Information Science Innovations: March 17 - 21, 2001, Dubai, U.A.E. / ISI 2001. ICSC Acad. Press, pp. 219-255. ISBN 3-906454-25-8.

Habl, M. and Bauer, Ch. and Ziegaus, Ch. and Lang, Elmar (2000) Analyzing brain tumor related EEG signals with ICA algorithms. In: Malmgren, H., (ed.) Artificial neural networks in medicine and biology: proceedings of the ANNIMAB-1 conference, Göteborg, Sweden, 13 - 16 May 2000. Springer, London/Berlin, pp. 131-136. ISBN 1-85233-289-1.

Habl, M. and Bauer, Ch. and Ziegaus, Ch. and Lang, Elmar and Schulmeyer, F. (2000) Can ICA help identify brain tumor related EEG signals? In: Pajunen, Petteri and Karhunen, J., (eds.) Proceedings / ICA 2000, Second International Workshop on Independent Component Analysis and Blind Signal Separation: Helsinki, Finland, June 19 - 22, 2000. UNSPECIFIED, pp. 609-614. ISBN 951-22-5017-9.

Habl, M. and Bauer, Ch. and Ziegaus, Ch. and Lang, Elmar and Puntonet, Carlos G. and Schulmeyer, F. (2000) Isolating brain tumor related EEG signals: An ICA approach with kernel-based source density estimation. In: Fyfe, C., (ed.) Proceedings of the Second ICSC Symposium on Engineering of Intelligent Systems, EIS 2000: June 27 - 30, 2000, Paisley, Scotland, U.K. ICSC Canada, Wetaskiwin AB, Canada, pp. 649-655. ISBN 3-906454-23-1.

Bauer, Ch. and Habl, M. and Ziegaus, Ch. and Lang, Elmar and Puntonet, C. G. and Schulmeyer, F. (2000) Probabilistic ICA with kernel-based source density estimation as a diagnostic aid to identify brain tumor related EEG signals. In: Haghdy, Fazel and Kurfess, F., (eds.) Proc. of ISA/CI. Vol. 2. ICSC Academic Press/Canada, pp. 411-418.

Bauer, Ch. and Habl, M. and Lang, Elmar and Puntonet, C. G. and Alvarez, M. R. (2000) Probabilistic and geometric ICA applied to the separation of EEG signals. In: Hamza, M. H., (ed.) Signal processing and communications: proceedings of the IASTED international conference, September 19 - 22, 2000, Marabella [i.e. Marbella], Spain. IASTED (The International Association of Science and Technology for Development), Anaheim, Calif., pp. 339-346. ISBN 0-88986-302-4.

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