Anke Meyer-Bäse

Sylvain Lespinats, Anke Meyer-Bäse, Michaël Aupetit: A new supervised non-linear mapping. CoRR abs/1203.2021 (2012)

Ernst Althaus, Stefan Canzar, Carsten Ehrler, Mark R. Emmett, Andreas Karrenbauer, Alan G. Marshall, Anke Meyer-Bäse, Jeremiah D. Tipton, Huimin Zhang: Computing H/D-Exchange rates of single residues from data of proteolytic fragments. BMC Bioinformatics 11: 424 (2010)

Anke Meyer-Bäse, R. Roberts, Vera Thümmler: Local uniform stability of competitive neural networks with different time-scales under vanishing perturbations. Neurocomputing 73(4-6): 770-775 (2010)

Uwe Meyer-Bäse, G. Alonzo Vera, Anke Meyer-Bäse, Marios S. Pattichis, Reginald J. Perry: An Undergraduate Course and Laboratory in Digital Signal Processing With Field Programmable Gate Arrays. IEEE Trans. Education 53(4): 638-645 (2010)

Anke Meyer-Bäse, Fabian J. Theis: Robust Stability Analysis and Design Under Consideration of Multiple Feedback Loops in the Tryptophan Regulatory Network of E. coli. BIOCOMP 2010: 755-759

Anke Meyer-Bäse, Claudia Plant, Susanne Cappendijk, Fabian J. Theis: Robust Stability Analysis of Multi-Time Scale Genetic Regulatory Networks under Parametric Uncertainties. BIOCOMP 2010: 854-863

Claudia Plant, Fabian J. Theis, Anke Meyer-Bäse, Christian Böhm: Information-Theoretic Model Selection for Independent Components. LVA/ICA 2010: 254-262

Anke Meyer-Bäse, Sylvain Lespinats, Ingo R. Keck, Elmar Wolfgang Lang: Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties. IJCNN 2010: 1-5

Peter Gruber, Anke Meyer-Bäse, Simon Y. Foo, Fabian J. Theis: ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data. Eng. Appl. of AI 22(4-5): 497-504 (2009)

Anke Meyer-Bäse, Thomas Schlossbauer, Oliver Lange, Axel Wismüller: Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI. Int. J. Biomedical Imaging 2009 (2009)

Anke Meyer-Bäse, Ali J. Koshkouei, Mark R. Emmett, David P. Goodall: Global stability analysis and robust design of multi-time-scale biological networks under parametric uncertainties. Neural Networks 22(5-6): 658-663 (2009)

Ernst Althaus, Stefan Canzar, Carsten Ehrler, Mark R. Emmett, Andreas Karrenbauer, Alan G. Marshall, Anke Meyer-Bäse, Jeremiah Tiptopn, Huimin Zhang: Discrete Fitting of Hydrogen-Deuterium-Exchange-data of Overlapping Fragments. BIOCOMP 2009: 496-502

Anke Meyer-Bäse, Susanne Cappendijk, Ernst Althaus: Robust Stability Analysis of the Tryptophan Regulatory Network of E.Coli. BIOCOMP 2009: 510-513

Sylvain Lespinats, Anke Meyer-Bäse, Frank Steinbrücker, Thomas Schlossbauer: Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods. IJCNN 2009: 1764-1770

Anke Meyer-Bäse, Susanne Cappendijk, Ernst Althaus: Global uniform stability analysis of biological networks with different time-scales under perturbations. IJCNN 2009: 2098-2102

Thorsten Twellmann, Anke Meyer-Bäse, Oliver Lange, Simon Y. Foo, Tim W. Nattkemper: Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning. Eng. Appl. of AI 21(2): 129-140 (2008)

Anke Meyer-Bäse, Vera Thümmler: Local and Global Stability Analysis of an Unsupervised Competitive Neural Network. IEEE Transactions on Neural Networks 19(2): 346-351 (2008)

Anke Meyer-Bäse, Fabian J. Theis: Stochastic Stability Analysis of the Heat Shock Response in E. Coli. BIOCOMP 2008: 39-42

Anke Meyer-Bäse, Oliver Lange, Thomas Schlossbauer, Axel Wismüller: Computer-aided diagnosis and visualization based on clustering and independent component analysis for breast MRI. ICIP 2008: 3000-3003

Ernst Althaus, Stefan Canzar, Mark R. Emmett, Andreas Karrenbauer, Alan G. Marshall, Anke Meyer-Bäse, Huimin Zhang: Computing H/D-exchange speeds of single residues from data of peptic fragments. SAC 2008: 1273-1277

Anke Meyer-Bäse, R. Roberts, Hyun Geun Yu: Robust stability analysis of competitive neural networks with different time-scales under perturbations. Neurocomputing 71(1-3): 417-420 (2007)

Anke Meyer-Bäse, Oliver Lange, Axel Wismüller, Monica K. Hurdal: Analysis of Dynamic Susceptibility Contrast MRI Time Series Based on Unsupervised Clustering Methods. IEEE Transactions on Information Technology in Biomedicine 11(5): 563-573 (2007)

Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse: Enhanced prediction of protein cellular localization sites with genetic algorithm optimal kernel projection analysis. IEEE Congress on Evolutionary Computation 2007: 1429-1435

Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse: Novel Kernels and Kernel PCA for Pattern Recognition. CIRA 2007: 438-443

Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse: Evolutionary computation-based kernel optimal component analysis for pattern recognition. GECCO 2007: 2258

Anke Meyer-Bäse, Axel Saalbach: Graphical Model-Based ICA Applied to the Analysis of fMRI and MRI Time Series. IJCNN 2007: 1651-1656

Anke Meyer-Bäse, R. Roberts, Hyun Geun Yu: Global Asymptotic Stability Analysis of Both Matched and Unmatched Uncertain Neural Networks. IJCNN 2007: 1669-1672

Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse: A performance analysis of lattice oscilation model kernels and KPCA. SMC 2007: 1608-1611

Anke Meyer-Bäse, Peter Gruber, Fabian J. Theis, Simon Y. Foo: Blind source separation based on self-organizing neural network. Eng. Appl. of AI 19(3): 305-311 (2006)

Axel Wismüller, Anke Meyer-Bäse, Oliver Lange, Thomas Schlossbauer, Maria Kallergi, Maximilian F. Reiser, Gerda L. Leinsinger: Segmentation and classification of dynamic breast magnetic resonance image data. J. Electronic Imaging 15(1): 013020 (2006)

Axel Wismüller, Anke Meyer-Bäse, Oliver Lange, Maximilian F. Reiser, Gerda L. Leinsinger: Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series. IEEE Trans. Med. Imaging 25(1): 62-73 (2006)

Anke Meyer-Bäse, Vera Thümmler, Fabian J. Theis: Stability Analysis of an Unsupervised Competitive Neural Network. IJCNN 2006: 1025-1028

Anke Meyer-Bäse, R. Roberts, S. Joshi: Robust Stability Analysis of a Class of Noise Perturbed Two-Time Scale Neural Networks. IJCNN 2006: 1029-1032

Axel Wismüller, Anke Meyer-Bäse, Johannes Behrends, Oliver Lange, Miriana Jukic, Maximilian F. Reiser, Dorothee Auer: A flexible machine learning image analysis system for high-precision computer-assisted segmentation of multispectral MRI data sets in patients with multiple sclerosis. ISBI 2006: 1328-1331

Anke Meyer-Bäse, Karsten Jancke, Axel Wismüller, Simon Foo, Thomas Martinetz: Medical image compression using topology-preserving neural networks. Eng. Appl. of AI 18(4): 383-392 (2005)

Anke Meyer-Bäse, Monica K. Hurdal, Oliver Lange, Helge Ritter: Clustering of Dependent Components: A New Paradigm for fMRI Signal Detection. EURASIP J. Adv. Sig. Proc. 2005(19): 3089-3102 (2005)

Anke Meyer-Bäse, Oliver Lange, Axel Wismüller, Helge Ritter: Model-free functional mri analysis using topographic independent component analysis. Int. J. Neural Syst. 14(4): 217-228 (2004)

Axel Wismüller, Anke Meyer-Bäse, Oliver Lange, Dorothee Auer, Maximilian F. Reiser, DeWitt Sumners: Model-free functional MRI analysis based on unsupervised clustering. Journal of Biomedical Informatics 37(1): 10-18 (2004)

Axel Wismüller, Frank Vietze, Johannes Behrends, Anke Meyer-Bäse, Maximilian F. Reiser, Helge Ritter: Fully automated biomedical image segmentation by self-organized model adaptation. Neural Networks 17(8-9): 1327-1344 (2004)

Anke Meyer-Bäse, Axel Wismüller, Oliver Lange: Comparison of two exploratory data analysis methods for fMRI: unsupervised clustering versus independent component analysis. IEEE Transactions on Information Technology in Biomedicine 8(3): 387-398 (2004)

Fabian J. Theis, Anke Meyer-Bäse, Elmar Wolfgang Lang: Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances. ICA 2004: 726-733

Anke Meyer-Bäse, Fabian J. Theis, Oliver Lange, Carlos García Puntonet: Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis. ICA 2004: 782-789

Anke Meyer-Bäse, Sergei S. Pilyugin: Global Asymptotic Stability of a Class of Dynamical Neural Networks. Int. J. Neural Syst. 13(1): 47-53 (2003)

Anke Meyer-Bäse, Sergei S. Pilyugin, Y. Chen: Global exponential stability of competitive neural networks with different time scales. IEEE Transactions on Neural Networks 14(3): 716-719 (2003)

Anke Meyer-Bäse, Thomas D. Otto, Thomas Martinetz, Dorothee Auer, Axel Wismüller: Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis. ESANN 2003: 509-514

Uwe Meyer-Bäse, Anke Meyer-Bäse, Henning Scheich: An interspike interval method for computing phase locking from neural firing. Biological Cybernetics 82(4): 283-290 (2000)

Anke Meyer-Bäse: Medical Image Compression by 'Neural-Gas' Network and Principal Component Analysis. IJCNN (5) 2000: 489-493

Anke Meyer-Bäse: Asymptotic Hyperstability of a Class of Neural Networks. Int. J. Neural Syst. 9(2): 95-98 (1999)

Anke Meyer-Bäse: Neuronale Netz-Detektion von Brustkrebs basierend auf einer Multi-Skalen Analyse. Bildverarbeitung für die Medizin 1999: 287-291

Anke Meyer-Bäse, Rolf Watzel: Transformation radial basis neural network for relevant feature selection. Pattern Recognition Letters 19(14): 1301-1306 (1998)

Uwe Meyer-Bäse, Anke Meyer-Bäse, J. D. Mellott, Fred J. Taylor: A Fast Modified CORDIC - Implementation of Radial Basis Neural Networks. VLSI Signal Processing 20(3): 211-218 (1998)

Anke Meyer-Bäse: Stability Analysis of a Class of Noise Perturbed Neural Networks. Int. J. Neural Syst. 8(3): 295-300 (1997)

Xuli Zong, Anke Meyer-Bäse, Andrew Laine: Multiscale Segmentation Through a Radial Basis Neural Network. ICIP (3) 1997: 400-403

Anke Meyer-Bäse: Quadratic-Type Lyapunov Functions for Competitive Neural Networks with Different Time-Scales. NIPS 1995: 337-343

Uwe Meyer-Bäse, Anke Meyer-Bäse, W. Hilberg: COordinate Rotation DIgital Computer (CORDIC) Synthesis for FPGA. FPL 1994: 397-408

Anke Meyer-Bäse, W. Endres, W. Hilberg, Henning Scheich: Modulares Neuronales Phonemerkennungskonzept. DAGM-Symposium 1993: 670-677