Anke Meyer-Bäse

发表

OWGIS 2.0: Open source Java application that builds web GIS interfaces for desktop and mobile devices

Olmo Zavala-Romero, Eric P. Chassignet, Jorge Zavala-Hidalgo, 2014, SIGSPATIAL/GIS.

Local exponential stability of competitive neural networks with different time scales

Anke Meyer-Bäse, Axel Wismüller, Sergei S. Pilyugin, 2004, Eng. Appl. Artif. Intell..

Computer-aided diagnosis and visualization based on clustering and independent component analysis for breast MRI

Anke Meyer-Bäse, Axel Wismüller, Oliver Lange, 2008, 2008 15th IEEE International Conference on Image Processing.

Mining Interaction Patterns among Brain Regions by Clustering

Anke Meyer-Bäse, Claudia Plant, Andrew Zherdin, 2014, IEEE Transactions on Knowledge and Data Engineering.

A comparison between neural and fuzzy cluster analysis techniques for functional MRI

Anke Meyer-Bäse, Oliver Lange, Monica K. Hurdal, 2006, Biomed. Signal Process. Control..

Evolutionary computation-based kernel optimal component analysis for pattern recognition

Anke Meyer-Bäse, Simon Y. Foo, Jason C. Isaacs, 2007, GECCO '07.

Robust Stability Analysis of the Tryptophan Regulatory Network of E.Coli

Ernst Althaus, Anke Meyer-Bäse, Susanne Cappendijk, 2009, BIOCOMP.

Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances

Anke Meyer-Bäse, Fabian J. Theis, Elmar Wolfgang Lang, 2004, ICA.

Selection of Spatiotemporal Features in Breast MRI to Differentiate between Malignant and Benign Small Lesions Using Computer-Aided Diagnosis

Anke Meyer-Bäse, Claudia Plant, Thomas Schlossbauer, 2012, Adv. Artif. Neural Syst..

Biomedical Signal Analysis: Contemporary Methods and Applications

Anke Meyer-Bäse, Fabian J. Theis, Fabian J Theis, 2010 .

Code obfuscation using very long identifiers for FFT motion estimation models in embedded processors

Anke Meyer-Bäse, Manuel Prieto, Carlos García, 2014, Journal of Real-Time Image Processing.

Normalization of T2W-MRI prostate images using Rician a priori

Anke Meyer-Bäse, Mojdeh Rastgoo, Fabrice Mériaudeau, 2016, SPIE Medical Imaging.

Novel systems biology and computational methods for lipidomics

Anke Meyer-Bäse, Sylvain Lespinats, 2010, Defense + Commercial Sensing.

Elementary Morphology for SO(2)- and SO(3)-Orientation Fields

Anke Meyer-Bäse, Bernhard Burgeth, Andreas Kleefeld, 2015, ISMM.

Stochastic Stability Analysis of the Heat Shock Response in E. Coli

Anke Meyer-Bäse, Fabian J. Theis, 2008, BIOCOMP.

Local uniform stability of competitive neural networks with different time-scales under vanishing perturbations

Anke Meyer-Bäse, Vera Thümmler, R. Roberts, 2010, Neurocomputing.

Detecting low-frequency functional connectivity in fMRI using unsupervised clustering algorithms

Anke Meyer-Bäse, Axel Wismüller, Oliver Lange, 2006, SPIE Defense + Commercial Sensing.

Unsupervised clustering of fMRI and MRI time series

Anke Meyer-Bäse, Axel Wismüller, Axel Saalbach, 2007, Biomed. Signal Process. Control..

Intelligent computer-aided diagnosis system for breast MRI combining kinetic and morphological aspects

Anke Meyer-Bäse, Axel Wismüller, Oliver Lange, 2008, SPIE Defense + Commercial Sensing.

Stability analysis of an unsupervised neural network with feedforward and feedback dynamics

Anke Meyer-Bäse, Sergei S. Pilyugin, 2006, Neurocomputing.

Graph clustering techniques applied to the glycomic response in glioblastoma cells to treatments with STAT3 phosphorylation inhibition and fetal bovine serum

Anke Meyer-Bäse, Huan He, Mark R. Emmett, 2011, Defense + Commercial Sensing.

Robust stability analysis of the heat shock response in E. coli

Anke Meyer-Bäse, Susanne Cappendijk, Robert van Engelen, 2008, SPIE Defense + Commercial Sensing.

Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI

Anke Meyer-Bäse, Daniel Cremers, Thomas Schlossbauer, 2012, Adv. Artif. Neural Syst..

Global Asymptotic Stability of a Class of Dynamical Neural Networks

Anke Meyer-Bäse, Sergei S. Pilyugin, 2003, Int. J. Neural Syst..

Application of unsupervised clustering methods to biomedical image analysis

Anke Meyer-Bäse, Axel Wismüller, Fabian J. Theis, 2005 .

Deep Learning in Medical Imaging: fMRI Big Data Analysis via Convolutional Neural Networks

Anke Meyer-Bäse, Amir H. Gandomi, Ian McCann, 2018, PEARC.

Application and evaluation of a motion compensation technique to breast MRI

Anke Meyer-Bäse, Axel Wismüller, Thomas Schlossbauer, 2009, Defense + Commercial Sensing.

Dynamical complex network theory applied to the therapeutics of brain malignancies

Anke Meyer-Bäse, Adrian Barbu, Daniel Fratte, 2015, Commercial + Scientific Sensing and Imaging.

A big data inspired preprocessing scheme for bandwidth use optimization in smart cities applications using Raspberry Pi

Anke Meyer-Bäse, Amir H. Gandomi, Amirhessam Tahmassebi, 2019, Big Data: Learning, Analytics, and Applications.

Improved computer-aided diagnosis for breast lesions detection in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics

Anke Meyer-Bäse, Bernhard Burgeth, Thomas Schlossbauer, 2011, Defense + Commercial Sensing.

Clustering of dependent components: a new paradigm for fMRI signal detection

Anke Meyer-Bäse, Axel Wismüller, Fabian J. Theis, 2004 .

Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods

Anke Meyer-Bäse, Thomas Schlossbauer, Frank Steinbrücker, 2009, 2009 International Joint Conference on Neural Networks.

Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning

Anke Meyer-Bäse, Tim W. Nattkemper, Oliver Lange, 2008, Eng. Appl. Artif. Intell..

Clustering of Dependent Components: A New Paradigm for fMRI Signal Detection

Helge J. Ritter, Anke Meyer-Bäse, Oliver Lange, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Optical flow optimization using parallel genetic algorithm

Olmo Zavala-Romero, Anke Meyer-Bäse, Guillermo Botella, 2011, Defense + Commercial Sensing.

Visual analysis and dynamical control of phosphoproteomic networks

Anke Meyer-Bäse, Robert Görke, Mark R. Emmett, 2013, Defense, Security, and Sensing.

The driving regulators of the connectivity protein network of brain malignancies

Anke Meyer-Bäse, Diego P. Morales, Guillermo Botella, 2017, Commercial + Scientific Sensing and Imaging.

Learning a Quality-Based Ranking for Feature Point Trajectories

Anke Meyer-Bäse, Adrian Barbu, Liangjing Ding, 2012, ACCV.

Novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis

Anke Meyer-Bäse, Mark R. Emmett, Alan G. Marshall, 2009, Defense + Commercial Sensing.

Robust Stability Analysis and Design Under Consideration of Multiple Feedback Loops in the Tryptophan Regulatory Network of E. coli

Anke Meyer-Bäse, Fabian J. Theis, Fabian J Theis, 2010, BIOCOMP.

Visual exploratory analysis of integrated chromosome 19 proteomic data derived from glioma cancer stem-cell lines based on novel nonlinear dimensional data reduction techniques

Anke Meyer-Bäse, Uwe Meyer-Bäse, Katja Pinker-Domenig, 2015, Commercial + Scientific Sensing and Imaging.

Model-free functional MRI analysis based on unsupervised clustering

Anke Meyer-Bäse, Axel Wismüller, Maximilian Reiser, 2004, J. Biomed. Informatics.

Dependent component analysis applied to lesions' characterization in breast MRI

Anke Meyer-Bäse, Oliver Lange, Thomas Schlossbauer, 2008, SPIE Defense + Commercial Sensing.

Spatio-temporal feature extraction for differentiation of non-mass-enhancing lesions in breast MRI

Anke Meyer-Bäse, Dat Ngo, Olmo Zavala, 2012, Defense + Commercial Sensing.

Gene regulatory networks simplified by nonlinear balanced truncation

Anke Meyer-Bäse, Fabian Theis, 2008, SPIE Defense + Commercial Sensing.

Robust stability analysis of competitive neural networks with different time-scales under perturbations

Anke Meyer-Bäse, Hyun Geun Yu, R. Roberts, 2007, Neurocomputing.

Automated analysis of spatio-temporal features for non-masses

Anke Meyer-Bäse, Marc Lobbes, Sebastian Hoffmann, 2013, Defense, Security, and Sensing.

Computational techniques to the topology and dynamics of lipidomic networks found in glioblastoma cells

Anke Meyer-Bäse, Robert Görke, Huan He, 2010, Defense + Commercial Sensing.

A flexible machine learning image analysis system for high-precision computer-assisted segmentation of multispectral MRI data sets in patients with multiple sclerosis

Anke Meyer-Bäse, Axel Wismüller, Maximilian Reiser, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

V – Genetic algorithms

Anke Meyer-Bäse, 2004 .

Customized Nios II multi-cycle instructions to accelerate block-matching techniques

Anke Meyer-Bäse, Manuel Prieto, Carlos García, 2015, Electronic Imaging.

IX – Neuro-fuzzy classification

Anke Meyer-Bäse, 2004 .

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

Anke Meyer-Bäse, Reinhard Guthke, Wolfgang Schmidt-Heck, 2012, BMC Systems Biology.

Transformation radial basis neural network for relevant feature selection

Anke Meyer-Bäse, Rolf Watzel, A. Meyer-Bäse, 1998, Pattern Recognit. Lett..

Transformation and signal-separation neural networks

Anke Meyer-Bäse, 2004 .

Stability Analysis of a Class of Noise Perturbed Neural Networks

Anke Meyer-Bäse, 1997, Int. J. Neural Syst..

Graphical Model-Based ICA Applied to the Analysis of fMRI and MRI Time Series

Anke Meyer-Bäse, Axel Saalbach, 2007, 2007 International Joint Conference on Neural Networks.

An Undergraduate Course and Laboratory in Digital Signal Processing With Field Programmable Gate Arrays

Marios S. Pattichis, Anke Meyer-Bäse, G. Alonzo Vera, 2010, IEEE Transactions on Education.

Robust Stability Analysis of a Class of Noise Perturbed Two–Time Scale Neural Networks

Anke Meyer-Bäse, S. Joshi, R. Roberts, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Multiscale segmentation through a radial basis neural network

Anke Meyer-Bäse, Andrew F. Laine, Xuli Zong, 1997, Proceedings of International Conference on Image Processing.

Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms

Anke Meyer-Bäse, Fabian J. Theis, Claudia Plant, 2012, Adv. Artif. Neural Syst..

Stability Analysis of an Unsupervised Competitive Neural Network

Anke Meyer-Bäse, Vera Thümmler, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Modulares Neuronales Phonemerkennungskonzept

Anke Meyer-Bäse, Wolfgang Hilberg, Henning Scheich, 1993, DAGM-Symposium.

Model-free functional MRI analysis based on unsupervised clustering

Anke Meyer-Bäse, Dorothee P. Auer, Axel Wismüller, 2004 .

COordinate Rotation DIgital Computer (CORDIC) Synthesis for FPGA

Anke Meyer-Bäse, Uwe Meyer-Bäse, Wolfgang Hilberg, 1994, FPL.

Performance evaluation based on cluster validity indices in medical imaging

Anke Meyer-Bäse, Axel Wismüller, Oliver Lange, 2006, SPIE Defense + Commercial Sensing.

Dynamische neuronale Netze und neuronale Radialbasisnetze mit Anwendung in der Sprachverarbeitung

Anke Meyer-Bäse, 1996 .

Neural network vector quantization improves the diagnostic quality of computer-aided diagnosis in dynamic breast MRI

Anke Meyer-Bäse, Axel Wismüller, Maximilian Reiser, 2007, SPIE Medical Imaging.

Pattern recognition for medical imaging

Anke Meyer-Bäse, 2003 .

Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series

Anke Meyer-Bäse, Axel Wismüller, Maximilian Reiser, 2006, IEEE Transactions on Medical Imaging.

VII – Foundations of neural networks

Anke Meyer-Bäse, 2004 .

Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI

Anke Meyer-Bäse, Axel Wismüller, Oliver Lange, 2010, Int. J. Biomed. Imaging.

Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties

Anke Meyer-Bäse, Elmar Wolfgang Lang, Ingo R. Keck, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Robust Stability Analysis of Multi-Time Scale Genetic Regulatory Networks under Parametric Uncertainties

Anke Meyer-Bäse, Fabian J. Theis, Claudia Plant, 2010, BIOCOMP.

Automated analysis of single and joint kinetic and morphologic features for non-masses

Anke Meyer-Bäse, Bernhard Burgeth, Marc Lobbes, 2012, Defense + Commercial Sensing.

Breast lesion segmentation software for DCE-MRI: An open source GPGPU based optimization

Olmo Zavala-Romero, Anke Meyer-Bäse, Marc B. I. Lobbes, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Determining the importance of parameters extracted from multi-parametric MRI in the early prediction of the response to neo-adjuvant chemotherapy in breast cancer

Anke Meyer-Bäse, Amirhessam Tahmassebi, Thomas Helbich, 2018, Medical Imaging.

Inference of Predictive Phospho-regulatory Networks from LC-MS/MS Phosphoproteomics Data

Anke Meyer-Bäse, Reinhard Guthke, Mark R. Emmett, 2016, BIOINFORMATICS.

Medical image compression by "neural-gas" network and principal component analysis

Anke Meyer-Bäse, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Comparison of two exploratory data analysis methods for fMRI: unsupervised clustering versus independent component analysis

Anke Meyer-Bäse, Axel Wismüller, Oliver Lange, 2004, IEEE Transactions on Information Technology in Biomedicine.

Quadratic-type Lyapunov functions for competitive neural networks with different time-scales

Anke Meyer-Bäse, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Novel Kernels and Kernel PCA for Pattern Recognition

Anke Meyer-Bäse, Simon Y. Foo, Jason C. Isaacs, 2007, 2007 International Symposium on Computational Intelligence in Robotics and Automation.

Pinning observability of competitive neural networks with different time-constants

Anke Meyer-Bäse, Simon Foo, W. Yu, 2019, Neurocomputing.

Asymptotic Hyperstability of a Class of Neural Networks

Anke Meyer-Bäse, 1999, Int. J. Neural Syst..

A performance analysis of lattice oscilation model kernels and KPCA

Anke Meyer-Bäse, Simon Y. Foo, Jason C. Isaacs, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Automated analysis of non-mass-enhancing lesions in breast MRI based on morphological, kinetic, and spatio-temporal moments and joint segmentation-motion compensation technique

Anke Meyer-Bäse, Bernhard Burgeth, Sebastian Hoffmann, 2013, EURASIP J. Adv. Signal Process..

Discrete Fitting of Hydrogen-Deuterium-Exchange-data of Overlapping Fragments

Ernst Althaus, Anke Meyer-Bäse, Andreas Karrenbauer, 2009, BIOCOMP.

VI – Statistical and syntactic pattern recognition

Anke Meyer-Bäse, 2004 .

Gaussian graphical modeling reveals specific lipid correlations in glioblastoma cells

Anke Meyer-Bäse, Fabian J. Theis, Fabian J Theis, 2011, Defense + Commercial Sensing.

Perturbation analysis of a class of neural networks

Anke Meyer-Bäse, 1997, ICNN.

ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data

Anke Meyer-Bäse, Fabian J. Theis, Fabian J Theis, 2009, Eng. Appl. Artif. Intell..

Stochastic stability analysis of competitive neural networks with different time-scales

Anke Meyer-Bäse, Guillermo Botella Juan, Liliana Rybarska-Rusinek, 2013, Neurocomputing.

Multi-level analysis of spatio-temporal features in non-mass enhancing breast tumors

Anke Meyer-Bäse, Diego P. Morales, Amirhessam Tahmassebi, 2018, Commercial + Scientific Sensing and Imaging.

Robust dissipativity and passivity based state estimation for discrete-time stochastic Markov jump neural networks with discrete and distributed time-varying delays

Anke Meyer-Bäse, Gnaneswaran Nagamani, S. Ramasamy, 2015, Neural Computing and Applications.

Global uniform stability analysis of biological networks with different time-scales under perturbations

Ernst Althaus, Anke Meyer-Bäse, Susanne Cappendijk, 2009, 2009 International Joint Conference on Neural Networks.

Neural Net Computing for Image Processing

Anke Meyer-Bäse, 2000, Computer Vision and Applications.

An Evolutionary Online Framework for MOOC Performance Using EEG Data

Anke Meyer-Bäse, Amir H. Gandomi, Amirhessam Tahmassebi, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Visualization of suspicious lesions in breast MRI based on intelligent neural systems

Anke Meyer-Bäse, Oliver Lange, Tim Wilhelm Nattkemper, 2006, SPIE Defense + Commercial Sensing.

On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data

Anke Meyer-Bäse, Tim W. Nattkemper, Axel Saalbach, 2009, Biomed. Signal Process. Control..

Global exponential stability of competitive neural networks with different time scales

Anke Meyer-Bäse, Sergei S. Pilyugin, Y. Chen, 2003, IEEE Trans. Neural Networks.

Computing H/D-exchange speeds of single residues from data of peptic fragments

Huimin Zhang, Ernst Althaus, Anke Meyer-Bäse, 2008, SAC '08.

Optimization of block-matching algorithms using custom instruction-based paradigm on NIOS II microprocessors

Anke Meyer-Bäse, Guillermo Botella, Uwe Meyer-Bäse, 2013, Defense, Security, and Sensing.

Global stability analysis of a nonlinear principal component analysis neural network

Anke Meyer-Bäse, 1997, ICNN.

Foundations of medical imaging and signal recording

Anke Meyer-Bäse, Fabian J. Theis, Fabian J Theis, 2010 .

Stability analysis of hybrid stochastic gene regulatory networks

Anke Meyer-Bäse, Fabian J. Theis, Claudia Plant, 2011 .

Enhanced prediction of protein cellular localization sites with genetic algorithm optimal kernel projection analysis

Anke Meyer-Bäse, Simon Y. Foo, Jason C. Isaacs, 2007, 2007 IEEE Congress on Evolutionary Computation.

Global stability analysis and robust design of multi-time-scale biological networks under parametric uncertainties

Anke Meyer-Bäse, Mark R. Emmett, A. Jafari Koshkouei, 2009, Neural Networks.

Multiplatform GPGPU implementation of the active contours without edges algorithm

Olmo Zavala-Romero, Anke Meyer-Bäse, Uwe Meyer-Bäse, 2012, Defense + Commercial Sensing.

Singular Perturbation Analysis of Competitive Neural Networks with Different Time Scales

Anke Meyer-Bäse, Frank W. Ohl, Henning Scheich, 1996, Neural Computation.

Segmentation and classification of dynamic breast magnetic resonance image data

Anke Meyer-Bäse, Axel Wismüller, Oliver Lange, 2006, J. Electronic Imaging.

Fast K-dimensional tree-structured vector quantization encoding method for image compression

Anke Meyer-Bäse, Axel Wismuller, Michael Georgiopoulos, 2004 .

Neural-based computer-aided diagnosis systems in breast cancer detection

Anke Meyer-Bäse, 2004 .

Neuronale Netz-Detektion von Brustkrebs basierend auf einer Multi-Skalen Analyse

Anke Meyer-Bäse, 1999, Bildverarbeitung für die Medizin.

Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis

Thomas Martinetz, Anke Meyer-Bäse, Dorothee P. Auer, 2004, ESANN.

Computer-aided diagnosis for diagnostically challenging breast lesions in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics

Anke Meyer-Bäse, Bernhard Burgeth, Claudia Plant, 2013, EURASIP Journal on Advances in Signal Processing.

Dynamical graph theory networks techniques for the analysis of sparse connectivity networks in dementia

Anke Meyer-Bäse, Diego P. Morales, Guillermo Botella, 2017, Commercial + Scientific Sensing and Imaging.

Medical image compression using topology-preserving neural networks

Thomas Martinetz, Anke Meyer-Bäse, Axel Wismüller, 2005, Eng. Appl. Artif. Intell..

Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification

Anke Meyer-Bäse, Amir H. Gandomi, Amirhessam Tahmassebi, 2018, Complex..

Quantitative analysis of breast DCE-MR images based on ICA and an empirical model

Anke Meyer-Bäse, Sebastian Goebl, Claudia Plant, 2012, Defense + Commercial Sensing.

Modeling disease spreading process induced by disease agent mobility in Dementia networks

Anke Meyer-Bäse, Amirhessam Tahmassebi, Uwe Meyer-Bäse, 2020, Defense + Commercial Sensing.

NIOS II processor-based acceleration of motion compensation techniques

Anke Meyer-Bäse, Guillermo Botella, Uwe Meyer-Bäse, 2011, Defense + Commercial Sensing.

Information-Theoretic Model Selection for Independent Components

Christian Böhm, Anke Meyer-Bäse, Fabian J. Theis, 2010, LVA/ICA.

Proteomic data analysis of glioma cancer stem-cell lines based on novel nonlinear dimensional data reduction techniques

Anke Meyer-Bäse, Georg Wengert, Katja Pinker-Domenig, 2016, Commercial + Scientific Sensing and Imaging.

Blind source separation based on self-organizing neural network

Anke Meyer-Bäse, Fabian J. Theis, Fabian J Theis, 2006, Eng. Appl. Artif. Intell..

Global Asymptotic Stability Analysis of Both Matched and Unmatched Uncertain Neural Networks

Anke Meyer-Bäse, Hyun Geun Yu, R. Roberts, 2007, 2007 International Joint Conference on Neural Networks.

Spatiotemporal blind source separation using double-sided approximate joint diagonalization

Anke Meyer-Bäse, Fabian J. Theis, Peter Gruber, 2005, 2005 13th European Signal Processing Conference.

Stability analysis techniques for competitive neural networks with different time-scales

Anke Meyer-Bäse, Frank W. Ohl, Henning Scheich, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Visual exploratory analysis of DCE-MRI data in breast cancer based on novel nonlinear dimensional data reduction techniques

Anke Meyer-Bäse, Adrian Barbu, Thomas Schlossbauer, 2009, Defense + Commercial Sensing.

Analysis of Dynamic Susceptibility Contrast MRI Time Series Based on Unsupervised Clustering Methods

Anke Meyer-Bäse, Axel Wismüller, Oliver Lange, 2007, IEEE Transactions on Information Technology in Biomedicine.

Stability Analysis of an Unsupervised Competitive Neural Network

Anke Meyer-Bäse, Fabian J. Theis, Vera Thümmler, 2006, IJCNN.

Functional connectivity analysis of resting-state fMRI networks in nicotine dependent patients

Olmo Zavala-Romero, Anke Meyer-Bäse, Lianne Schmaal, 2016, SPIE Medical Imaging.

High Performance GP-Based Approach for fMRI Big Data Classification

Anke Meyer-Bäse, Amir H. Gandomi, Amirhessam Tahmassebi, 2017, PEARC.

Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine

Anke Meyer-Bäse, Olivier Bastien, Juan Manuel Górriz, 2012, Adv. Artif. Neural Syst..

Computer-aided diagnosis of small lesions and non-masses in breast MRI

Anke Meyer-Bäse, Thomas Schlossbauer, Dat Ngo, 2012, Defense + Commercial Sensing.

Dynamical aspects of multi-time scale unsupervised neural networks

Anke Meyer-Bäse, Shantanu H. Joshi, Helge Ritter, 2006, SPIE Defense + Commercial Sensing.

A new supervised non-linear mapping pdf

Anke Meyer-Bäse, Michaël Aupetit, Sylvain Lespinats, 2012, ArXiv.

Determining and interpreting correlations in lipidomic networks found in glioblastoma cells

Anke Meyer-Bäse, Huan He, Dorothea Wagner, 2010, BMC Systems Biology.

CAD-system based on kinetic analysis for non-mass-enhancing lesions in DCE-MRI

Anke Meyer-Bäse, Sebastian Goebl, Claudia Plant, 2013, Defense, Security, and Sensing.

Fully automated biomedical image segmentation by self-organized model adaptation

Anke Meyer-Bäse, Axel Wismüller, Maximilian Reiser, 2004, Neural Networks.

Segmentation and Kinetic Analysis of Breast Lesions in DCE-MR Imaging Using ICA

Anke Meyer-Bäse, Claudia Plant, Sebastian Goebl, 2014, ITBAM.

Computing H/D-Exchange rates of single residues from data of proteolytic fragments

Ernst Althaus, Anke Meyer-Bäse, Andreas Karrenbauer, 2010, BMC Bioinformatics.

Specialized Neural Networks Relevant to Bioimaging

Anke Meyer-Bäse, 2004 .

Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension

Anke Meyer-Bäse, Adrian Barbu, Liangjing Ding, 2012, ACCV Workshops.

Advanced Computer Vision Approaches in Biomedical Image Analysis

Anke Meyer-Bäse, Juan Manuel Górriz, Claudia Plant, 2014, Comput. Math. Methods Medicine.

Computer-aided diagnosis and lipidomics analysis to detect and treat breast cancer

Anke Meyer-Bäse, Bernhard Burgeth, Robert Görke, 2010, Defense + Commercial Sensing.

Relevant features selection with radial basis neural networks

Anke Meyer-Bäse, Rolf Watzel, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction

Anke Meyer-Bäse, Amir H. Gandomi, Amirhessam Tahmassebi, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

ClassiMap: A New Dimension Reduction Technique for Exploratory Data Analysis of Labeled Data

Anke Meyer-Bäse, Michaël Aupetit, Sylvain Lespinats, 2015, Int. J. Pattern Recognit. Artif. Intell..

A Fast Modified CORDIC—Implementation of Radial Basis Neural Networks

Fred J. Taylor, Anke Meyer-Bäse, Uwe Meyer-Bäse, 1998, J. VLSI Signal Process..

Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis

Anke Meyer-Bäse, Fabian J. Theis, Carlos García Puntonet, 2004, ICA.

An open source Java web application to build self-contained web GIS sites

Olmo Zavala-Romero, Jorge Zavala-Hidalgo, Anke Meyer-Bäse, 2014, Environ. Model. Softw..

An interspike interval method for computing phase locking from neural firing

Anke Meyer-Bäse, Uwe Meyer-Bäse, Henning Scheich, 2000, Biological Cybernetics.

Determining disease evolution driver nodes in dementia networks

Anke Meyer-Bäse, Amirhessam Tahmassebi, Ali Moradi Amani, 2018, Medical Imaging.

An Evolutionary Framework for Real-Time Fraudulent Credit Detection

Anke Meyer-Bäse, Amir H. Gandomi, Amirhessam Tahmassebi, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Stationary distribution of a stochastic vegetation-water system with reaction-diffusion

Anke Meyer-Bäse, Qimin Zhang, Shiliang Pan, 2022, Appl. Math. Lett..

Uncertain gene regulatory networks simplified by gramian-based approach

Anke Meyer-Bäse, Fabian J. Theis, Susanne L.T. Cappendijk, 2012 .

Biomedical Signal Analysis

Anke Meyer-Bäse, Fabian J. Theis, 2010 .

Subband coding and wavelet transform

Anke Meyer-Bäse, 2004 .