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Results: 26-33/33
Authors:
Tafeit, E
Moller, R
Sudi, K
Reibnegger, G
Citation: E. Tafeit et al., Artificial neural networks as a method to improve the precision of subcutaneous adipose tissue thickness measurements by means of the optical device LIPOMETER, COMPUT BIOL, 30(6), 2000, pp. 355-365
Authors:
Tafeit, E
Moller, R
Sudi, K
Reibnegger, G
Citation: E. Tafeit et al., Artificial neural networks compared to factor analysis for low-dimensionalclassification of high-dimensional body fat topography data of healthy anddiabetic subjects, COMPUT BIOM, 33(5), 2000, pp. 365-374
Authors:
Tafeit, E
Moller, R
Pieber, TR
Sudi, K
Reibnegger, G
Citation: E. Tafeit et al., Differences of subcutaneous adipose tissue topography in type-2 diabetic (NIDDM) women and healthy controls, AM J P ANTH, 113(3), 2000, pp. 381-388
Authors:
Moller, R
Citation: R. Moller, Path planning using hardware time delays, IEEE ROBOT, 15(3), 1999, pp. 588-592
Authors:
Moller, R
Pause, BM
Ferstl, R
Citation: R. Moller et al., Induction of olfactory sensitivity by odor exposure in subjects with specific anosmia, Z EXP PSYCH, 46(1), 1999, pp. 53-59
Authors:
Tafeit, E
Moller, R
Sudi, K
Reibnegger, G
Citation: E. Tafeit et al., The determination of three subcutaneous adipose tissue compartments in non-insulin-dependent diabetes mellitus women with artificial neural networks and factor analysis, ARTIF INT M, 17(2), 1999, pp. 181-193
Authors:
Moller, R
Maris, M
Lambrinos, D
Citation: R. Moller et al., A neural model of landmark navigation in insects, NEUROCOMPUT, 26-7, 1999, pp. 801-808
Authors:
Moller, R
Citation: R. Moller, A systolic implementation of the MLEM reconstruction algorithm for positron emission tomography images, PARALLEL C, 25(7), 1999, pp. 905-920