A. Meyer-Bäse

发表

A. Meyer-Bäse, 2004 .

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).

Current Status and Future Perspectives of Artificial Intelligence in Magnetic Resonance Breast Imaging

U. Meyer-Bäse, A. Meyer-Bäse, K. Pinker, 2020, Contrast media & molecular imaging.

Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis

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

Novel Processing Techniques for Small Breast Lesions Detection in DCE-MRI based on Image Registration and Integration of Morphologic and Dynamic Characteristics

B. Burgeth, A. Meyer-Bäse, T. Schlossbauer, 2013 .

Stability analysis of hybrid stochastic gene regulatory networks

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

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

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

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

Guillermo Botella Juan, M. Prieto, Diego González, 2016, Journal of Real-Time Image Processing.

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

Guillermo Botella Juan, B. Burgeth, A. Meyer-Bäse, 2013, EURASIP J. Adv. Signal Process..

Dynamical aspects of multi-time scale unsupervised neural networks

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

Global exponential stability of competitive neural networks with different time scales

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

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

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

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.

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.

Blind source separation based on self-organizing neural network

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

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.

Determining and interpreting correlations in lipidomic networks found in glioblastoma cells

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

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..

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 using topology-preserving neural networks

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

Split Bregman's optimization method for image construction in compressive sensing

D. Skinner, S. Foo, A. Meyer-Bäse, 2014, Sensing Technologies + Applications.

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.

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.

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.

Unsupervised clustering of fMRI and MRI time series

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

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.

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

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

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

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

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.

Dynamical complex network theory applied to the therapeutics of brain malignancies

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

Visual analysis and dynamical control of phosphoproteomic networks

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

Model-free functional MRI analysis based on unsupervised clustering

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

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

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

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.

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

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

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..

Singular Perturbation Analysis of Competitive Neural Networks with Different Time Scales

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

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

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

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

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

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).

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).

High Performance GP-Based Approach for fMRI Big Data Classification

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

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

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

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.

A Fast Modified CORDIC—Implementation of Radial Basis Neural Networks

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

Biomedical Signal Analysis: Contemporary Methods and Applications

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

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

J. Shutler, B. Burgeth, A. Meyer-Bäse, 2013, EURASIP J. Adv. Signal Process..

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..

Information-Theoretic Model Selection for Independent Components

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

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).

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.

Automated analysis of spatio-temporal features for non-masses

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

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

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

Multiplatform GPGPU implementation of the active contours without edges algorithm

Olmo Zavala-Romero, Anke Meyer-Bäse, Uwe Meyer-Bäse, 2012, 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..

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..

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.

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..

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..

Performance evaluation based on cluster validity indices in medical imaging

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

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

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

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

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

Tree-dependent and topographic independent component analysis for fMRI analysis

Dorothee P. Auer, Oliver Lange, Fabian J Theis, 2004, SPIE Defense + Commercial Sensing.

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.

Multiscale segmentation through a radial basis neural network

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

Segmentation and classification of dynamic breast magnetic resonance image data

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

Transformation radial basis neural network for relevant feature selection

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

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

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

Intraoperative Magnetic Resonance Imaging of Cerebral Oxygen Metabolism During Resection of Brain Lesions.

M. Buchfelder, A. Meyer-Bäse, A. Stadlbauer, 2017, World neurosurgery.

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.

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.

Mining Interaction Patterns among Brain Regions by Clustering

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

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.

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.

Gaussian graphical modeling reveals specific lipid correlations in glioblastoma cells

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

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

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

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.

Foundations of medical imaging and signal recording

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

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.

Pinning observability of competitive neural networks with different time-constants

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