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Research Interests:

  • Medical imaging: pattern recognition techniques applied to breast MRI, computer-aided diagnosis, fMRI data analysis.
  • Computational biology: dynamical analysis of gene regulatory networks, graph theoretical concepts applied in therapeutics of glioblastoma, stem cells, phosphoproteomics.
  • Computational neuroscience: brain-based classification techniques, nonlinear stability analysis of cortical systems, graph theory applied to cortical networks.

Honors and Awards

  • Senior Member IEEE 2013
  • European Molecular Biology Organization Fellowship Award 2009
  • College of Engineering Research Award 2006
  • NIH Research Career Award 2005
  • Humboldt Research Fellowship Award 2004
  • American Advancement of Sciences (WISC Award) 2003
  • Venia legendi (Habilitation), Department of Computer Science, University of Kassel, 2002
  • Who’s Who in Science 1999
  • Lise-Meitner-Prize, highest German prize for major contribution of women in natural sciences and engineering awarded every other year to only one person, 1997
  • Mildred-Scheel Cancer-Research-Award, 1997
  • Max-Kade Research Award for Neuroengineering, 1996
  • Claussen-Foundation Doctoral Fellowship, 1990

Publications Monographs, Book Chapters and Journal Publications

  • F. Theis and A. Meyer-Baese. “Biomedical Signal Analysis: Contemporary Methods and Applications”. 420 pages, MIT Press, Boston, 2010.
  • A. Meyer-Baese. “Pattern Recognition for Medical Imaging”. 460 pages, Elsevier Science/Academic Press, Hartford, November 2003.
  • A. Meyer-Baese. “Neural Networks with Dynamic Properties and Radial Basis Networks with an Application in Speech Recognition”. (in German). VDI Verlag, Duesseldorf, 1996.
  • A. Meyer-Baese, F. Theis and M. Emmett. “Robust Stability Analysis and Design Under Consideration of Multiple Feedback Loops of the Tryptophan Regulatory Network of E.Coli”. Advances in Computational Biology, Springer, 680:189-197, 2010.
  • A. Meyer-Baese, T. Otto, T. Martinetz, D. Auer and A. Wismueller. “Model-Free fMRI Using Topographic Independent Component Analysis”. ESANN Proceedings, S- Side Publishers, pages 509-514, 2003.
  • A. Meyer-Baese. “Comparison between JPEG and a New Neural Compression Method for Digitized Mammograms”. Advances in Digital Mammography, Medical Physics Publishing, pages 237-240, 2001.
  • A. Meyer-Baese. “Neural Net Computing for Image Processing”. Concise Edition: Handbook of Computer Vision and Applications , Academic Press, pages 567-605, 2000.
  • A. Meyer-Baese. “Neural Net Computing for Image Processing”. Handbook of Computer Vision and Applications , Academic Press, volume III, pages 729-753, 1999.
  • A. Meyer-Baese. “Neural Network Based Detection of Breast Cancer” (in german). Bildverarbeitung fuer die Medizin, Springer, pages 287-292, 1999.
  • M. R. Emmett, R. A. Kroes, J. R. Moskal, C. A. Conrad, W. Priebe, F. Laezza, A. Meyer-Baese,
  • C. L. Nilsson. Integrative biological analysis for neuropsychopharmacology. Invited critical review for Neuropsychopharmacology, In Print, 2013.
  • C. Plant, A. Zherdin, C. Sorg, A. Meyer-Baese and A. Wohlschlaeger. “Mining Interaction Patterns among Brain Regions by Clustering”, IEEE Transactions on Knowledge and Data Engineering, In Print, 2013.
  • A. Meyer-Baese, G. Botella and Liliana Rybarska-Rusinek “Stochastic Stability Analysis of Competitive Neural Networks with Different Time-Scales”, Neurocomputing, In Print, 2013.
  • F. Retter, C. Plant, B. Burgeth, M. Lobbes and A. Meyer-Baese “Novel Processing Techniques for Small Breast Lesions Detection in DCE-MRI based on Image Registration and Integration of Morphologic and Dynamic Characteristics”, Journal on Advances in Signal Processing, In Print, 2013.
  • S. Hoffmann, J. Shutler, B. Burgeth, M. Lobbes and A. Meyer-Baese “Automated Analysis of Diagnostically Challenging Lesions in Breast MRI Based on Spatio-Temporal Moments and Joint Segmentation-Motion Compensation Technique”, Journal on Advances in Signal Processing, In Print, 2013.
  • S. Vlaic, V. Heck, M. Matz-Soja, E. Marbach, J. Linde, A. Meyer-Baese, S. Zellmer, R. Guthke and R. Gebhard. “The Extended TILAR Approach: A novel tool for dynamic modeling of the transcription factor network regulating the adaption to in vitro cultivation of murine hepatocytes”, BMC Systems Biology, 6:147, 2012.
  • C. Plant, C. Boehm, F. Theis and A. Meyer-Baese. “Measuring Non-Gaussianity by Phi- Transformed and fuzzy Histograms”, Advances in Artificial Neural Networks, ID 962105, 2012.
  • A. Meyer-Baese, S. Lespinats and J. Gorriz. “Advances in Artificial Neural Systems with Applications in Biomedicine and Bioinformatics”, Advances in Artificial Neural Networks, ID 219860, 2012.
  • F. Steinbruecker, C. Plant, T. Schlossbauer and A. Meyer-Baese. “Evaluation of a Non-Rigid Motion Compensation Technique Based on Spatio-Temporal Features for Small Lesion Detection in Breast MRI”, Advances in Artificial Neural Networks, ID 808602, 2012.
  • F. Steinbruecker, A. Meyer-Baese and T. Schlossbauer. “Selection of Spatio-Temporal Features in Breast MRI to Differentiate Between Malignant and Benign Small Lesions Using Computer- Aided Diagnosis”, Advances in Artificial Neural Networks, ID 919281, 2012.
  • A. Meyer-Baese, R. Goerke, D. Wagner, H. He, M. Emmett, A. Marshall and C. Conrad. “Determining and Interpreting Correlations in Lipidomic Networks Found in Glioblastoma Cells”, BMC Systems Biology, 4:126, 2010.
  • A. Meyer-Baese, T. Schlossbauer, O. Lange and A. Wismueller. “Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI”, International Journal of Biomedical Imaging, 326924, 10, 2010.
  • A. Meyer-Baese, R. Roberts and V. Thuemmler “Local Uniform Stability of Competitive Neural Networks with Different Time-Scales under Vanishing Perturbations”, Neurocomputing, 73:770- 775, 2010.
  • E. Althaus, S. Canzar, C. Ehrler, M. Emmett, A. Karrenbauer, A. Marshall, A. Meyer-Baese, J. Tipton, H. Zhang.“Computing H/D-Exchange Rates of Single Amino Acid Residues from LC MS data”, BMC Bioinformatics, 11:424, 2010.
  • U. Meyer-Baese, A. Vera, A. Meyer-Baese, M. Pattichis and R. Perry. “An Undergraduate Course and Laboratory in Digital Signal processing with Field Programmable Gate Arrays”, IEEE Transactions on Education, 53, 1, 2010.
  • A. Meyer-Baese, A. J. Koshkouei, M. R. Emmett and D. P. Goodaal. “Global Stability Analysis and Robust Design of Multi-Time-Scale Biological Networks Under Parametric Uncertainties”, Neural Networks, 22:658-663, 2009.
  • P. Gruber, A. Meyer-Baese, S. Foo and F. Theis. “ICA, Kernel Methods and Nonnegativity: New Paradigms for Dynamical Component Analysis for fMRI Data”, Engineering Applications of Artificial Intelligence, 22:497-504, 2009.
  • A. Saalbach, A. Meyer-Baese, O. Lange and T. Nattkemper. “On the Application of (Topographic) Independent and Tree-Dependent Component Analysis for the Examination of DCE-MRI Data”, Biomedical Signal Processing and Control, 4:247-253, 2009.
  • T. Schlossbauer, G. Leinsinger, A. Wismueller, O. Lange, A. Meyer-Baese and M. Reiser. “Classification of small contrast enhancing breast lesions in dynamic magnetic resonance imaging using a combination of morphological criteria and dynamic analysis based on unsupervised vector-quantization”, Investigative Radiology, 43:56-64, 2008. A. Meyer-Baese and V. Thuemmler. “Local and Global Stability Analysis of an Unsupervised Competitive Neural Network”, IEEE Transactions on Neural Networks, 19:346-351, 2008.
  • T. Twellmann, A. Meyer-Baese, O. Lange, S. Foo and T. Nattkemper. “Model-free Visualization of Suspicious Lesions in Breast MRI Based on Supervised and Unsupervised Learning”, Engineering Applications of Artificial Intelligence, 21:129-140, 2008.
  • A. Meyer-Baese, O. Lange, A. Wismueller and M. Hurdal. “Analysis of Dynamic Cerebral Contrast—Enhanced Perfusion MRI Time-Series Based on Unsupervised Clustering Methods”, IEEE Transactions on Information Technology in Biomedicine, 11:563-673, 2007.
  • A. Meyer-Baese and R. Roberts and H. Yu. “Robust Stability Analysis of Competitive Neural Networks with Different Time-Scales Under Perturbations”, Neurocomputing, 71;417-420, 2007.
  • A. Meyer-Baese and A. Saalbach and O. Lange and A. Wismueller. “Unsupervised Clustering of fMRI and MRI Time-Series”, Biomedical Signal Processing and Control, 2:295-310, 2007.
  • A. Meyer-Baese, P. Gruber, F. Theis, and S. Foo.“Blind Source Separation Based On Self- Organizing Neural Network”, Engineering Application of Artificial Intelligence, 19:305-311, 2006.
  • A. Meyer-Baese and S. Pilyugin. “Stability Analysis of an Unsupervised Neural Network with Feedforward and Feedback Dynamics”, Neurocomputing, 70:603-606, 2006.
  • A. Wismueller, A. Meyer-Baese, O. Lange, M. Reiser and G. Leinsinger. “Cluster Analysis of Dynamic Cerebral Contrast—Enhanced Perfusion MRI Time-Series”, IEEE Transactions on Medical Imaging, 25:62-73, 2006.
  • O. Lange, A. Meyer-Baese, M. Hurdal and S. Foo. “A Comparison Between Neural and Fuzzy Cluster Analysis Techniques for functional MRI”, Biomedical Signal Processing and Control, 1:243-252, 2006 .
  • A. Meyer-Baese, M. Hurdal and O. Lange. “Clustering of Dependent Components: A New Paradigm for fMRI Signal Detection”, Applied Signal Processing, 19:3089-3102, 2005.
  • A. Wismueller, A. Meyer-Baese, O. Lange, M. Kallergi, G. Leinsinger and M. Reiser. “Segmentation and Classification of Dynamic Breast MR Image Data”, Optical Engineering, 15(01), 013020 , 2006.
  • A. Meyer-Baese, K. Jancke, A. Wissmueller, S. Foo and T. Martinetz. “Medical Image Compression Using Topology-Preserving Neural Networks”, Engineering Application of Artificial Intelligence, 18:383-392, 2005.
  • A. Wismueller, F. Vietze, J. Behrends, A. Meyer-Baese, M. Reiser, and H. Ritter. “Fully- Automated Biomedical Image Segmentation by Self-Organized Model Adaptation”, Neural Networks, 17:1327-1344, 2004.
  • A. Meyer-Baese, A. Wismueller and O. Lange. “Comparison of Two Exploratory Data Analysis Methods for fMRI: Unsupervised Clustering versus Independent Component Analysis”, IEEE Transactions on Information Technology in Biomedicine, 8:387-398, 2004.
  • A. Meyer-Baese, A. Wissmueller, O. Lange and H. Ritter. “Model-free functional MRI Analysis Using Topographic Independent Component Analysis”, International Journal of Neural Systems, 14:217-229, 2004.
  • A. Meyer-Baese, K. Jancke, A. Wismueller and M. Georgiopoulos. "Fast k-dimensional Tree- Structured Vector Quantization Encoding Method for Image Compression", Optical Engineering Letters, 43:1012-1013, 2004.
  • A. Meyer-Baese, S. Pilyugin, A. Wismueller and S. Foo. Local Exponential Stability of Competitive Neural Networks with Different Time-Scales. Engineering Application of Artificial Intelligence, 16:227-232, 2004.
  • A. Wismueller, A. Meyer-Baese, O. Lange, D. Auer, M. Reiser and D. Sumners. “Model-free functional MRI Analysis Based on Unsupervised Clustering”. Biomedical Informatics, 37:10- 18, 2004.
  • A. Meyer-Baese, S. Pilyugin, and Y. Chen. “Global Exponential Stability of Competitive Nueral Networks with Different Time-Scales”, IEEE Transactions on Neural Networks, 14:716-719, 2003.
  • A. Meyer-Baese and S. Piljugin. “Global Asymptotic Stability of a Class of Dynamical Neural Networks”, International Journal of Neural Systems, 13:47-53, 2003.
  • A. Meyer-Baese, U. Meyer-Baese, R. Watzel and S. Foo. “A Parallel CORDIC Architecture to Compute the Gaussian Potential Function in Neural Networks” Engineering Application of Artificial Intelligence, 16:595-605, 2003.
  • S. Foo, G. Stuart, B. Harvey and A. Meyer-Baese. “Neural Network Based EKG Pattern Recognition, Engineering Application of Artificial Intelligence, 15:253-260, 2002.
  • U. Meyer-Baese, A. Meyer-Baese, and H. Scheich. “An Interspike Interval Method to Compute Speech Signals from Neural Firing,” Biological Cybernetics, 82:283-290, 2000.
  • A. Meyer-Baese. “On the Existence and Stability of Solutions in Self-Organizing Cortical Maps.” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E82-A No.9:1883-1887, 1999.
  • A. Meyer-Baese. “ Hyperstability Conditions for Hopfield-Type Neural Networks”. Int. Journal of Neural Systems, 9:95-99, 1999.
  • U. Meyer-Baese, A. Meyer-Baese, J. Mellott, and F. Taylor. “A Fast Modified CORDIC- Implementation of Radial Basis Neural Networks”. Journal of VLSI SIGNAL PROCESSING SYSTEMS for Signal, Image and Video Technology, 9:290-298, 1998.
  • A. Meyer-Baese. “Hardware Implementations of Radial Basis Neural Networks “(in German), Frequenz, 2:50-55, 1997.
  • A. Meyer-Baese. “ Analysis of a Class of Noise Perturbed Neural Networks”, Int. Journal of Neural Systems, 6:295-301, 1997.
  • A. Meyer-Baese, F. Ohl, and H. Scheich. “Singular Perturbation Analysis of Competitive Neural Networks with Different Time-Scales”, Neural Computation, 8:545-563, 1996.

    Refereed International Conference Papers

  • R. Goerke, M. Emmett, C. Nilsson and A. Meyer-Baese. “Visual Analysis of Large Graphs in Phosphoproteomic Data Analysis”, In print SPIE International Symposium Computational Intelligence, In Print, 2013.
  • S. Goebl, C. Plant and, A. Meyer-Baese. “Quantitative Analysis of Breast DCE-MRI Images Based on Novel Empirical Models”, SPIE International Symposium Computational Intelligence, Vol. 8401, 84010Z, 2012.
  • C. Plant, D. Ngo, O. Zavala, M. Lobbes, M. Lockwood and A. Meyer-Baese. “Computer- Aided Diagnosis of Small Lesions and Non-Masses in Breast MRI”, SPIE International Symposium Computational Intelligence, Vol. 8367, 83670A, 2012.
  • D. Ngo, O. Zavala, J. Shutler, M. Lobbes, M. Lockwood and A. Meyer-Baese. “Spatio- temporal Feature Extraction for Differentiation of Non-Mass-Enhancing Lesions in Breast MRI”, SPIE International Symposium Computational Intelligence Vol. 8401, 840111 , 2012.
  • S. Hoffmann, J. Shutler, M. Lobbes, M. Lockwood and A. Meyer-Baese. “Automated Analysis of Single and Joint Kinetic and Morphologic Features for Non-Masses”, SPIE International Symposium Computational Intelligence, Vol. 8401, 840110, 2012.
  • O. Zavala, A. Meyer-Baese and U. Meyer-Baese. “Multiplatform GPGPU implementation of the active contours without edges algorithm”, SPIE International Symposium Computational Intelligence Vol. 8399, 83990E, 2012.‌
  • A. Meyer-Baese, R. Guthke, R. Altwasser, S. Vlaic, C. Nilsson, M. Emmett and C. Conrad. “Almost Sure Stability of Stochastic Gene Regulatory Networks with Mode-Dependent Interval Delays”, Accepted, International Conference on Bioinformatics and Computational Biology (BIOCOMP), 2012.
  • A. Meyer-Baese, R. Guthke, R. Altwasser, S. Vlaic, C. Nilsson, M. Emmett and C. Conrad. “Model Order Reduction of Deterministic and Stochastic Gene Regulatory Networks”, Accepted, International Conference on Bioinformatics and Computational Biology (BIOCOMP), 2012.
  • N. Mueller, J. Krumsiek, C. Boehm, F. Theis and A. Meyer-Baese. “Gaussian Graphical Models Reveal Specific Lipid Correlations in Glioblastoma Cell Lines”, SPIE International Symposium Computational Intelligence, Vol. 8058, 805819, 2011.
  • R. Goerke, A. Meyer-Baese, H. He, M. Emmett, C. Nilsson and C. Conrad. “Graph Visualization Techniques for Representing Glycomic Response in GSC11 Glioblastoma Cancer Stem Cells”, SPIE International Symposium Computational Intelligence, Vol. 8059, 80590I, 2011.
  • A. Meyer-Baese and F. Theis. “Uncertain Gene Regulatory Networks Simplified by Gramian- Based Approach”, In print, International Conference on Bioinformatics and Computational Biology (BIOCOMP), 2011.
  • A. Meyer-Baese, C. Plant and S. Cappendijk. “Stability Analysis of Hybrid Stochastic Gene Regulatory Networks.”, In print, International Conference on Bioinformatics and Computational Biology (BIOCOMP), 2011.
  • O. Zavala, G. Botilla, U. Meyer-Baese and A. Meyer-Baese. “Applying Genetic Algorithms to Optimization Parameters of Robust Optical Flow Systems”, In print, SPIE International Symposium Computational Intelligence, Vol. 8058, 80581E, 2011.
  • D. Gonzalez-Rodriguez, G. Botilla, U. Meyer-Baese and A. Meyer-Baese. “NIOS II Processor-Based Acceleration of Motion Compensation Techniques”, In print, SPIE International Symposium Computational Intelligence, Vol. 8058, 2011.
  • F. Retter, C. Plant, B. Burgeth, T. Schlossbauer and A. Meyer-Baese. “Improved Computer- Aided Diagnosis for breast lesions in DCE-MRI based on motion artifact removal and integration of morphological and dynamical information”, Invited Paper SPIE International Symposium Computational Intelligence, Vol. 8859, 2011.
  • F. Retter, C. Plant, B. Burgeth, T. Schlossbauer and A. Meyer-Baese. “Improved Computer- Aided Diagnosis for breast lesions in DCE-MRI based on motion artifact removal and integration of morphological and dynamical information”, SPIE International Symposium Computational Intelligence, Vol. 80590590J, 2011.
  • A. Meyer-Baese, R. Goerke, D. Wagner, H. He, M. Emmett, A. Marshall and C. Conrad. “Determining and Interpreting Correlations in Lipidomic Networks Found in Glioblastoma Cells”, Invited Paper SPIE International Symposium Computational Intelligence, Vol. 7704, 77040G, 2010.
  • G. Botilla and A. Meyer-Baese. “Application and Evaluation of a Novel Motion Compensation Technique in Breast MRI”, Invited Paper SPIE International Symposium Computational Intelligence, Vol. 7704, 77040D, 2010.
  • A. Meyer-Baese, F. Retter, F. Steinbruecker, R. Goerke, B. Burgeth and T. Schlossbauer. “Computer-Aided Diagnosis and Lipidomics Analysis to Detect and Treat Breast Cancer”, SPIE International Symposium Computational Intelligence, Vol. 7703, 77030U, 2010.
  • A. Meyer-Baese and S. Lespinats. “Novel Systems Biology and Computational Methods for Lpidomics”, SPIE International Symposium Computational Intelligence, Vol. 7703, 77030U, 2010.
  • A. Meyer-Baese, C. Plant and S. Cappendijk. “Robust Stability of the Multi-Time Scale Genetic Regulatory Networks Under Parametric Uncertainties.”, In print, International Conference on Bioinformatics and Computational Biology (BIOCOMP), 2010.
  • A. Meyer-Baese. “Robust Stability Analysis and Design Under Consideration of Multiple Feedback Loops in the Tryptophan Regulatory Network in E. Coli.”, In print, International Conference on Bioinformatics and Computational Biology (BIOCOMP), 2010.
  • A. Meyer-Baese, S. Lespinats, I. Keck and E. Lang . “Robust Stability Analysis of Linsker- Type Hebbian Learning Multi-Time Scale Neural Networks under Parametric Uncertainties.”, International Conference on Neural Networks, Vol. 1, pp. 1-5, 2010.
  • C. Plant, F. Theis, A. Meyer-Baese and C. Boehm. “Information Theoretic Model Selection for Independent Components.”, Proceedings ICA, Vol. 6365, pp. 254-262, 2010.
  • S. Lespinats, A. Meyer-Baese, H. He, A. Marshall, C. Conrad and M. Emmett. “Novel Insights into the Lipidome of Glioblastoma Cells Under the Structural Analysis of FT-ICR Mass Spectrometry Based on a Combined PLSR and DD-HDS Computational Analysis”, Invited Paper SPIE International Symposium Computational Intelligence, Vol. 7347, 73471I, 2009.
  • A. Meyer-Baese, S. Lespinats, F. Steinbruecker, T. Schlossbauer and A. Barbu. “Visual Exploratory Analysis of DCE-MRI Data in Breast Cancer Based on Novel Nonlinear Dimensional Data Reduction Techniques”, Invited Paper SPIE International Symposium Computational Intelligence, Vol. 7343, 73431A, 2009.
  • F. Steinbruecker, A. Meyer-Baese, A. Wismueller and T. Schlossbauer. “Application and Evaluation of Motion Compensation Technique to Breast MRI”, Invited Paper SPIE International Symposium Computational Intelligence, Vol. 7347, 7347J, 2009.
  • S. Lespinats, A. Meyer-Baese, F. Steinbruecker and T. Schlossbauer. “Evaluation of Visual Exploratory Analysis of DCE-MRI Data of Breast Lesions Based on Morphological Features and Novel Dimension Reduction Methods.”, International Conference on Neural Networks, 1764-1770, 2009.
  • A. Meyer-Baese, S. Cappendijk and E. Althaus. “Robust Stability of the Tryptophan Regulatory Network in E. Coli.”, International Conference on Bioinformatics and Computational Biology (BIOCOMP), pp. 510-513, 2009
  • E. Althaus, S. Canzar, C. Ehrler, M. Emmett, A. Karrenbauer, A. Marshall, A. Meyer-Baese, J. Tipton and H. Zhang. “Discrete Fitting of HDX Data of Overlapping Fragment.”, International Conference on Bioinformatics and Computational Biology (BIOCOMP), pp. 496-502, 2009
  • A. Meyer-Baese, S. Cappendijk and E. Althaus. “Global Uniform Stability Analysis of Biological Networks with Different Time Scales Under Perturbations.”, International Conference on Neural Networks, 2098-2112, 2009.
  • A. Meyer-Baese and F. Theis. “Stochastic stability analysis of the Heat Shock Response in E. Coli.”, In print, International Conference on Bioinformatics and Computational Biology (BIOCOMP), 2008
  • E. Althaus, S. Canzar, M. Emmett, H. Zhang, A. Karrenbauer, A. Marshall, and A. Meyer- Baese. “Computing H/D-Exchange Speeds of Single Residues from Data of Peptic Fragments”, Proceedings of the 23rd Annual ACM Symposium on Applied Computing, pp. 1273-1277, 2008.
  • A. Meyer-Baese. “Metabolic Network Models Simplified by Nonlinear Balanced Truncation”, SPIE International Symposium Computational Intelligence, Vol. 6979, 6979C, 2008.
  • A. Meyer-Baese, R. Van Engelen and S. Cappendijk. “Robust Stability of The Heat Shock Response in E. Coli”, SPIE International Symposium Computational Intelligence, Vol. 6979, 6979A, 2008.
  • A. Wismueller, J. Beherends, P. Hoole, G. Leinsinger, A. Meyer-Baese and M. Reiser. “Computer-Aided Segmentation and 3D Analysis of in vivo MRI examinations of the Human Vocal Tract During Phonation”, SPIE International Symposium Medical Imaging, Vol. 6916, 6916OT, 2008.
  • A. Wismueller, A. Meyer-Baese and O. Lange. “Intelligent Computer-Aided Diagnosis System for Breast MRI Combining Kinetical and Morphological Aspects”, SPIE International Symposium Computational Intelligence, Vol. 6961, 69610K, 2008.
  • A. Meyer-Baese, O. Lange, T. Schlossbauer and A. Wismueller. “Dependent Component Analysis Applied to Lesion Characterization in Breast MRI”, SPIE International Symposium Computational Intelligence, Vol. 6979, 69790K, 2008.
  • U. Meyer-Baese, A. Vera, A. Meyer-Baese, M. Pattichis and R. Perry. “DSP with FPGAs: a Xilinx/Simulink-Based Course and Laboratory”, SPIE International Symposium Computational Intelligence, Vol. 6979, 697907, 2008.
  • A. Meyer-Baese, O. Lange, T. Schlossbauer and A. Wismueller. “Computer-Aided Diagnosis and Visualization Based on Clustering and Independent Component Analysis for Breast MRI”, IEEE International Conference on Image Processing, pages 3000-3003, 2008.
  • A. Meyer-Baese, H. Yu, and R. Roberts. “Global Asymptotic Stability of Both Matched and Unmatched Neural Networks”, IEEE International Joint Conference on Neural Networks, pages 1669-1672, Vancouver 2007.
  • A. Meyer-Baese and A. Saalbach. “Graphical Model-Based ICA Applied to the Analysis of fMRI and MRI Time-Series”, IEEE International Joint Conference on Neural Networks, pages 1651-1656, Vancouver 2007.
  • J. Isaacs, S. Foo and A. Meyer-Baese. “Novel Kernels and Kernel PCA for Pattern Recognition”, IEEE International Conference on Computational Intelligence in Robotics and Automation, pages 438-443, Jacksonville 2007.
  • U. Meyer-Baese, A. Vera, A. Meyer-Baese, M. Pattichis and R. Perry. “Smart Altera Firmware for DSP with FPGA”, In SPIE's 20th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 6576, 65760T, 2007.
  • A. Meyer-Baese and H. Ritter. “Global Stability Analysis of Competitive Neural Networks Under Perturbations”, In SPIE's 20th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 6560, 65600F, 2007.
  • A. Saalbach, O. Lange and A. Meyer-Baese. “Exploratory Analysis of Functional MRI Data Using HSOM and HTMP”, In SPIE's 20th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 6576, 657608T, 2007.
  • O. Lange, A. Meyer-Baese and A. Wismueller.“Small Mammographic Lesions Evaluation Based on Neural Gas Network”, In SPIE's 20th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 6560, 65600V, 2007.
  • A. Saalbach, O. Lange, T. Nattkemper and A. Meyer-Baese.“Analysis of breast MRI Data Based on topographic independent and tree-independent component analysis”, In SPIE's 20th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 6576, 65760A, 2007.
  • A. Wismueller, A. Meyer-Baese, G. Leinsinger, M. Reiser, O. Lange and T. Schlossbauer.“Neural Network Vector Quantization Improves the Diagnostic Quality of CAD in Breast MRI”, In SPIE's Annual International Symposium on Medical Imaging, Vol. 6514, 65141F, 2007.
  • Isaacs, J.; Foo, S.; and Meyer-Baese, A.; "Distribution Kernels, Lattice Oscillation Model Kernels, and Kernel PCA for Pattern Recognition," 2007 IEEE International Conference on Systems, Man, and Cybernetics, pages 1608-1611, 2007.
  • Isaacs, J.; Foo, S.; and Meyer-Baese, A.; "Enhanced Prediction of Protein Cellular Localization Sites with Genetic Algorithm Optimal Kernel Projection Analysis," 2007 IEEE Congress on Evolutionary Computation (CEC-2007), pages 1429-1435, 2007.
  • Isaacs, J.; Foo, S.; and Meyer-Baese, A.; "Evolutionary Computation-based Kernel Optimal Component Analysis for Pattern Recognition," The Genetic and Evolutionary Computation Conference (GECCO-2007).
  • Meyer-Baese, S. Joshi, and H. Ritter. “Dynamical Aspects of Multi-Time Scale Unsupervised Neural Networks “, In SPIE's 20th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 6229, 62290V, 2006.
  • T. Twellmann, O. Lange, T. Nattkemper, A. Meyer-Baese. “Visualization of Suspicious Lesions in Breast MRI Based on Intelligent Systems“, In SPIE's 20th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 6229, 62290K, 2006.
  • O. Lange, A. Meyer-Baese, and A. Wismueller. “Performance Evaluation based on Cluster Validity Indices in Medical Imaging”, In SPIE's 20th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 6247, 624714, 2006.
  • O. Lange, A. Meyer-Baese, and A. Wismueller. “Detecting Low-Frequency Functional Connectivity in functional MRI Using Unsupervised Clustering Algorithms”, Invited Paper, In SPIE's 20th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 6247, 62470M, 2006.
  • U. Meyer-Baese, A. Vera, A. Meyer-Baese, M. Pattichis, and R. Perry. “Discrete Wavelet- Transform FPGA Using MatLab/Simulink”, In SPIE's 20th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 6247, 624703, 2006.
  • Meyer-Baese, R. Roberts, and S. Joshi. “Robust Stability Analysis of a Class of Noise- Perturbed Two-Time Scale Neural Networks”, IEEE International Joint Conference on Neural Networks, pages 1029-1032, Vancouver 2006.
  • Meyer-Baese, V. Thuemmler, and F. Theis. “Stability analysis of Unsupervised Competitive Neural Networks”, IEEE International Joint Conference on Neural Networks, pages 1029- 1032, Vancouver 2006.
  • Wismueller, A. Meyer-Baese, J. Behrends, O. Lange, M. Jukic, M. Reiser, and D. Auer. “ A flexible machine learning image analysis system for high-precision computer-assisted segmentation of multispectral MRI data sets in patients with multiple sclerosis”, IEEE Symposium on Biomedical Imaging, pages 1328-1331, 2006
  • Meyer-Baese, O. Lange, A. Wismueller and G. Leinsinger. “Computer-aided diagnosis in breast MRI based on ICA and unsupervised clustering techniques ”. In SPIE's 19th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Invited Paper, Vol. 5818, pages 38-49, 2005.
  • Lange, A. Meyer-Baese, A. Wismueller, and M. Hurdal. “Analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series based on unsupervised clustering methods ”. In SPIE's 18th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 5818, pages 26-37, 2005.
  • Lange, A. Meyer-Baese, U. Meyer-Baese A. Wismueller, and M. Hurdal. “Exploratory Data Analysis Methods Applied to fMRI”. In SPIE's 18th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 5803, pages 31-37, 2005.
  • Meyer-Baese, F. Theis, O. Lange, and A. Wismueller. “Clustering of dependent components: a new paradigm for fMRI signal detection”, IEEE International Joint Conference on Neural Networks, pages 1947-1951, Budapest 2004
  • F. J. Theis, A. Meyer-Baese, and E. Lang. “Second-order blind source separation based on multi-dimensional autocovariances “. Lecture Notes in Computer Science, Vol. 3195, pages 726-733, 2004.
  • Meyer-Baese, F. J. Theis, O. Lange and C. Puntonet. “Tree-dependent and topographic independent component analysis for fMRI analysis”. Lecture Notes in Computer Science, Vol. 3195, pages 782-789, 2004.
  • Meyer-Baese, A. Wismueller, O. Lange and D. Auer. “Comparison of Two Exploratory Data Analysis Methods for fMRI: Unsupervised Clustering vs. Independent Component Analysis”. In SPIE's 18th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Invited Paper, Vol. 5103, pages 104-115, 2004.
  • Lange, A. Meyer-Baese, A. Wismueller and D. Auer. “Model-free fMRI Analysis Using Tree-Dependent and Topographic Independent Component Analysis”. In SPIE's 18th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Invited Paper, Vol. 5103 , pages 92-103, 2004.
  • Lange, A. Meyer-Baese, A. Wismueller and D. Auer. “Model-free fMRI Analysis Using Improved Fuzzy Analysis Cluster Techniques”. In SPIE's 18th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 5421, pages 19-28, 2004.
  • Meyer-Baese, O. Lange, A. Wismueller and D. Auer. “Computer-Aided Diagnosis in Breast MRI Based on Unsupervised Clustering Techniques”. In SPIE's 18th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 5421, pages 29-37, 2004.
  • Meyer-Baese, T. Otto, T. Martinetz, D. Auer and A. Wismueller. “Model-free fMRI Analysis Using Transformation-Based Methods”. Accepted for publication. In SPIE's 17th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 5102, pages 156-167, 2003.
  • Meyer-Baese, T. Otto, T. Martinetz, D. Auer and A. Wismueller. “Model-free fMRI Analysis Using Cluster-Based Techniques”. In SPIE's 17th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 5103, pages 17-24, 2003.
  • U. Meyer-Baese, A. Meyer-Baese and J. Ramirez and A. Garcia. “A High-Radix CORDIC Architecture Dedicated to Compute the Gaussian Potential Function in Neural Networks”. In SPIE's 17th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, Vol. 5103, pages 189-200, 2003.
  • Meyer-Baese, A. Wismueller and D. Auer. “Topographic Independent Component Analysis for fMRI Signal Detection”, IEEE International Joint Conference on Neural Networks. pages 3101-3105, Portland, July 2003.
  • Meyer-Baese and S. Pilyugin. “Flow Invariance for Competitive Multi-Modal Neural Networks”, IEEE International Joint Conference on Neural Networks, pages 601-605, Portland, July 2003.
  • Meyer-Baese, T. Otto, T. Martinetz, B. Auer and A. Wismueller. “Model-free fMRI Analysis Using Topographic Independent Component Analysis”. D-Side Publishers, pages 509-514, April 2003.
  • Meyer-Baese. “Flow Invariance for Competitive Neural Networks with Different Time- Scales”. IEEE International Joint Conference on Neural Networks , pages 858-861, May 2002.
  • Meyer-Baese. “Hebbian and Anti-Hebbian Type Neural Network for Blind Separation of Nonstationary Signals”. In SPIE's 15th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, pages 158-166, 2001.
  • A. Meyer-Baese. “Local Stability Analysis of a Self-Organized Neural Network for Blind Source Separation”. IEEE International Joint Conference on Neural Networks, pages 920- 925, 2001, July 2001.
  • Meyer-Baese. “A Survey of Neural Compression Algorithms Applied in Biomedical Image Processing”. In SPIE's 13th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, volume 3722, pages 414-423, Orlando, FL, April 1999.
  • Meyer-Baese. “ Dynamic analysis of continuous self-organizing cortical maps”. In SPIE's 12th Annual International Symposium on Aerospace/Defense Sensing, Simulation and Controls, volume 3390, pages 586-592, Orlando, FL, April 1998.
  • Meyer-Baese. “On the Existence and Stability of Solutions in Self-Organizing Cortical Maps”. In IEEE Proceedings of the International Conference on Neural Networks, volume III, pages 1516-1519, Anchorage, AL, June 1998.
  • A. Meyer-Baese. “Global Stability of a Self-Organizing Neural Network with Hebbian and Anti-Hebbian Learning Rules”. In IEEE Proceedings of the International Conference on Neural Networks, volume II, pages 1778-1782, Houston, TX, June 1997.
  • A. Meyer-Baese. “Modeling and Stabilizing Unknown Parameters in Hopfield-Type Neural Networks”. In IEEE Proceedings of the International Conference on Neural Networks, volume I, pages 825-828, Houston, TX, June 1997.
  • A. Meyer-Baese. “Dynamical Analysis of Variable Structure Neural Systems”. In SPIE's 11th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, volume 3077, pages 622-628, Orlando, FL, April 1997.
  • U. Meyer-Baese, A. Meyer-Baese, and H. Scheich. “Auditory Neuron Models for Cochlea Implants”. In SPIE's 11th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, volume 3077, pages 582-593, Orlando, April 1997.
  • X. Zong, A. Meyer-Baese, and A. Laine. “Multiscale Segmentation through a Radial Basis Neural Network”. In IEEE Proceedings of the International Conference on Image Processing, volume I, pages 400-403, Santa Barbara, CA, September 1997.
  • Meyer-Baese and H. Scheich. “Stability Analysis of Parametric Uncertain Neural Networks”. In ASME Intelligent Engineering Systems Through Artificial Neural Networks, volume , pages 97-103, Saint Louis, MS, November 1996.
  • Meyer-Baese. “Local and Global Stability Analysis Methods of Multi-Time Scale Neural Networks”. Invited Paper. In SPIE's 10th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls, volume 2760, pages 234-242, Orlando, FL, April 1996.
  • A. Meyer-Baese. “Quadratic-Type Lyapunov Functions for Competitive Neural Networks with Different Time-Scales”. In Advances in Neural InformationProcessing Systems, volume 8, pages 337-343, MIT Press, 1996.
  • A. Meyer-Baese, F. Ohl, and H. Scheich. “New Stability Analysis Methods for the Analysis of the Dynamics of Neurosynaptic Systems”. In IEEE Proceedings of the International Symposium on Artificial Neural Networks, volume 4, pages D1.23-D1.27, Taipei, Taiwan, December 1995.
  • C. Akinalp and A. Meyer-Baese. “Analyzing the Behavior of a Neural Network Based on a Stochastic Automata”. In IEEE Proceedings of the International Symposium on Artificial Neural Networks, volume 1, pages A2.26-A2.30, Taipei, Taiwan, December 1995.
  • Meyer-Baese, F. Ohl, and H. Scheich. “A Comprehensive Stability Analysis of Neural Networks as Interconnected Systems”. In International Conference on Modeling and Simulation, pages 297-301, Columbo, July 1995.
  • Meyer-Baese and W. Endres. “Detektion der relevanten statischen und dynamischen Parameter bei Plosivlauten mit Hilfe von faktorisierbaren neuronalen Radialbasisnetzen”. In DAGA-Fortschritte, pages 356-360, Saarbruecken, Germany, March 1996.
  • Meyer-Baese, U. Meyer-Baese, and H. Scheich. “Realization of a Neuronal Hardware with Digital Signal Processor and Programmable Gate Arrays”. In SPIE's 9th Annual International Symposium on Aerospace/Defense Sensing, Simulation and Controls, volume 2492, pages 2-9, Orlando, FL, April 1995.
  • Meyer-Baese, F. Ohl, and H. Scheich. “Stability Analysis Techniques for Competitive Neural Networks with Different Time-Scales”. In IEEE Proceedings of the International Conference on Neural Networks, volume V, pages 3210-3214, Perth, Australia, December 1995.
  • Meyer-Baese, F. Ohl, and H. Scheich.”A Global Stability Criterion for Competitive Neural Networks with Different Time-Scales”. In IEEE Proceedings of the International Conference on Neural Networks, volume V, pages 3215-3219, Perth, Australia, December 1995.
  • Meyer-Baese and R. Watzel. “Relevant Features Selection with Radial Basis Neural Networks”. In IEEE Proceedings of the International Conference on Neural Networks, volume II, pages 963-967, Perth, Australia, December 1995.
  • U. Meyer-Baese, A. Meyer-Baese, and W. Hilberg. “COordinate Rotation DIgital Computer (CORDIC) Synthesis for FPGA,” Lecture Notes in Computer Science, 849:397-408, 1994.
  • Meyer-Baese. “Asymptotic Hyperstability for the Hopfield Model of Neural Networks”. In IEEE Proceedings of the International Conference on Neural Networks, volume III, pages 2436-2441, Orlando, FL, June 1994.
  • Meyer-Baese, F. Ohl, and H. Scheich. “Modular Radial Basis Neural Network for Stop Consonant Recognition”. In IEEE Proceedings of the International Symposium on Artificial Neural Networks, volume 1, pages 234-242, Taipei, Taiwan, December 1994.
  • R. Watzel, A. Meyer-Baese, U. Meyer-Baese, and H. Scheich. “Identification of Irrelevant Features in Phoneme Recognition with Neural Radial Basis Classifiers”. In IEEE Proceedings of the International Symposium on Artificial Neural Networks, volume 1, pages 389-397, Taipei, Taiwan, December 1994.
  • Meyer-Baese, F. Ohl, and H. Scheich. “Matrix Perturbation Theory as a Analysis Method of the Stability of Laterally Inhibited Neural Networks”. In IEEE Proceedings of the International Symposium on Artificial Neural Networks, volume 1, pages 356-364 Taipei, Taiwan, December 1994.
  • Meyer-Baese, W. Endres, and H. Scheich. “Neuronales Netz mit lateraler Inhibition als Beispiel spatiotemporaler Verarbeitung von Phonemen”. In DAGA-Fortschritte, pages 1297- 1300, Dresden, Germany, March 1994.
  • Meyer-Baese, W. Endres, H. Scheich, and W. Hilberg. “Modulares Neuronales Phonemerkennungskonzept mit Radialbasisklassifikatoren”. In Informatik Fachberichte, volume 290, pages 670-677, Springer, 1993.
Last updated 12/14