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Number of items: 7.

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. Volltext nicht vorhanden.

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. Volltext nicht vorhanden.

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. Volltext nicht vorhanden.

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. Volltext nicht vorhanden.

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. Volltext nicht vorhanden.

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. Volltext nicht vorhanden.

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. Volltext nicht vorhanden.

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