Anke Meyer-Bäse

Orcid: 0000-0001-6363-2687

Affiliations:
  • Florida State University, Department of Scientific Computing
  • Darmstadt University of Technology, Department of Electrical and Computer Engineering


According to our database1, Anke Meyer-Bäse authored at least 126 papers between 1993 and 2023.

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Bibliography

2023
Combining graph neural networks and ROI-based convolutional neural networks to infer individualized graphs for Alzheimer's prediction.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023

2022
Bifurcation Analysis and Finite-Time Contraction Stability of an Alzheimer Disease Model.
Int. J. Bifurc. Chaos, 2022

Stationary distribution of a stochastic vegetation-water system with reaction-diffusion.
Appl. Math. Lett., 2022

Analysis of a stochastic reaction-diffusion Alzheimer's disease system driven by space-time white noise.
Appl. Math. Lett., 2022

Graph signal processing to identify biomarkers in brain networks in dementia.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Multimodal region-based transformer for the classification and prediction of Alzheimer's disease.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Input design for the optimal control of networked moments.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Efficient input placement for the optimal control of network moments.
CoRR, 2021

Facial Emotion Recognition Using Asymmetric Pyramidal Networks With Gradient Centralization.
IEEE Access, 2021

Identifying the diffusion source of dementia spreading in structural brain networks.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Structural Target Controllability of Brain Networks in Dementia.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

An Evolutionary Framework for Real-Time Fraudulent Credit Detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
An Interpretable Deep Learning Framework for Health Monitoring Systems: A Case Study of Eye State Detection using EEG Signals.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019
Pinning observability of competitive neural networks with different time-constants.
Neurocomputing, 2019

2018
Automated non-mass enhancing lesion detection and segmentation in breast DCE-MRI.
CoRR, 2018

Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification.
Complex., 2018

Deep Learning in Medical Imaging: fMRI Big Data Analysis via Convolutional Neural Networks.
Proceedings of the Practice and Experience on Advanced Research Computing, 2018

Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 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.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Determining disease evolution driver nodes in dementia networks.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Breast lesion segmentation software for DCE-MRI: An open source GPGPU based optimization.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

3D Gabor Filters for Chest Segmentation in DCE-MRI.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

An Evolutionary Online Framework for MOOC Performance Using EEG Data.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Robust dissipativity and passivity based state estimation for discrete-time stochastic Markov jump neural networks with discrete and distributed time-varying delays.
Neural Comput. Appl., 2017

Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support.
Int. J. Neural Syst., 2017

Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks.
Frontiers Comput. Neurosci., 2017

High Performance GP-Based Approach for fMRI Big Data Classification.
Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

An evolutionary approach for fMRI big data classification.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Code obfuscation using very long identifiers for FFT motion estimation models in embedded processors.
J. Real Time Image Process., 2016

Normalization of T2W-MRI prostate images using Rician a priori.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Functional connectivity analysis of resting-state fMRI networks in nicotine dependent patients.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

Inference of Predictive Phospho-regulatory Networks from LC-MS/MS Phosphoproteomics Data.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015
ClassiMap: A New Dimension Reduction Technique for Exploratory Data Analysis of Labeled Data.
Int. J. Pattern Recognit. Artif. Intell., 2015

Customized Nios II multi-cycle instructions to accelerate block-matching techniques.
Proceedings of the Real-Time Image and Video Processing 2015, 2015

Elementary Morphology for SO(2)- and SO(3)-Orientation Fields.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

2014
Mining Interaction Patterns among Brain Regions by Clustering.
IEEE Trans. Knowl. Data Eng., 2014

Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach.
Frontiers Comput. Neurosci., 2014

An open source Java web application to build self-contained web GIS sites.
Environ. Model. Softw., 2014

Advanced Computer Vision Approaches in Biomedical Image Analysis.
Comput. Math. Methods Medicine, 2014

Segmentation and Kinetic Analysis of Breast Lesions in DCE-MR Imaging Using ICA.
Proceedings of the Information Technology in Bio- and Medical Informatics, 2014

OWGIS 2.0: Open source Java application that builds web GIS interfaces for desktop and mobile devices.
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014

2013
Stochastic stability analysis of competitive neural networks with different time-scales.
Neurocomputing, 2013

Computer-aided diagnosis for diagnostically challenging breast lesions in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics.
EURASIP J. Adv. Signal Process., 2013

Automated analysis of non-mass-enhancing lesions in breast MRI based on morphological, kinetic, and spatio-temporal moments and joint segmentation-motion compensation technique.
EURASIP J. Adv. Signal Process., 2013

2012
A new supervised non-linear mapping
CoRR, 2012

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 Syst. Biol., 2012

Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI.
Adv. Artif. Neural Syst., 2012

Selection of Spatiotemporal Features in Breast MRI to Differentiate between Malignant and Benign Small Lesions Using Computer-Aided Diagnosis.
Adv. Artif. Neural Syst., 2012

Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms.
Adv. Artif. Neural Syst., 2012

Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine.
Adv. Artif. Neural Syst., 2012

Multiplatform GPGPU implementation of the active contours without edges algorithm.
Proceedings of the Visual Information Processing XXI, 2012

Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension.
Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

Learning a Quality-Based Ranking for Feature Point Trajectories.
Proceedings of the Computer Vision - ACCV 2012, 2012

2010
An Undergraduate Course and Laboratory in Digital Signal Processing With Field Programmable Gate Arrays.
IEEE Trans. Educ., 2010

Local uniform stability of competitive neural networks with different time-scales under vanishing perturbations.
Neurocomputing, 2010

Determining and interpreting correlations in lipidomic networks found in glioblastoma cells.
BMC Syst. Biol., 2010

Computing H/D-Exchange rates of single residues from data of proteolytic fragments.
BMC Bioinform., 2010

Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties.
Proceedings of the International Joint Conference on Neural Networks, 2010

Information-Theoretic Model Selection for Independent Components.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Robust Stability Analysis of Multi-Time Scale Genetic Regulatory Networks under Parametric Uncertainties.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

Robust Stability Analysis and Design Under Consideration of Multiple Feedback Loops in the Tryptophan Regulatory Network of E. coli.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

2009
Global stability analysis and robust design of multi-time-scale biological networks under parametric uncertainties.
Neural Networks, 2009

Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI.
Int. J. Biomed. Imaging, 2009

ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data.
Eng. Appl. Artif. Intell., 2009

On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data.
Biomed. Signal Process. Control., 2009

Global uniform stability analysis of biological networks with different time-scales under perturbations.
Proceedings of the International Joint Conference on Neural Networks, 2009

Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods.
Proceedings of the International Joint Conference on Neural Networks, 2009

Robust Stability Analysis of the Tryptophan Regulatory Network of E.Coli.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009

Discrete Fitting of Hydrogen-Deuterium-Exchange-data of Overlapping Fragments.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009

2008
Local and Global Stability Analysis of an Unsupervised Competitive Neural Network.
IEEE Trans. Neural Networks, 2008

Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning.
Eng. Appl. Artif. Intell., 2008

Computing H/D-exchange speeds of single residues from data of peptic fragments.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Computer-aided diagnosis and visualization based on clustering and independent component analysis for breast MRI.
Proceedings of the International Conference on Image Processing, 2008

Stochastic Stability Analysis of the Heat Shock Response in E. Coli.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

2007
Analysis of Dynamic Susceptibility Contrast MRI Time Series Based on Unsupervised Clustering Methods.
IEEE Trans. Inf. Technol. Biomed., 2007

Robust stability analysis of competitive neural networks with different time-scales under perturbations.
Neurocomputing, 2007

Unsupervised clustering of fMRI and MRI time series.
Biomed. Signal Process. Control., 2007

A performance analysis of lattice oscilation model kernels and KPCA.
Proceedings of the IEEE International Conference on Systems, 2007

Neural network vector quantization improves the diagnostic quality of computer-aided diagnosis in dynamic breast MRI.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Graphical Model-Based ICA Applied to the Analysis of fMRI and MRI Time Series.
Proceedings of the International Joint Conference on Neural Networks, 2007

Global Asymptotic Stability Analysis of Both Matched and Unmatched Uncertain Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2007

Evolutionary computation-based kernel optimal component analysis for pattern recognition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Novel Kernels and Kernel PCA for Pattern Recognition.
Proceedings of the 7th IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2007

Enhanced prediction of protein cellular localization sites with genetic algorithm optimal kernel projection analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series.
IEEE Trans. Medical Imaging, 2006

Segmentation and classification of dynamic breast magnetic resonance image data.
J. Electronic Imaging, 2006

Stability analysis of an unsupervised neural network with feedforward and feedback dynamics.
Neurocomputing, 2006

Blind source separation based on self-organizing neural network.
Eng. Appl. Artif. Intell., 2006

A comparison between neural and fuzzy cluster analysis techniques for functional MRI.
Biomed. Signal Process. Control., 2006

A flexible machine learning image analysis system for high-precision computer-assisted segmentation of multispectral MRI data sets in patients with multiple sclerosis.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Stability Analysis of an Unsupervised Competitive Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2006

Robust Stability Analysis of a Class of Noise Perturbed Two-Time Scale Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Clustering of Dependent Components: A New Paradigm for fMRI Signal Detection.
EURASIP J. Adv. Signal Process., 2005

Medical image compression using topology-preserving neural networks.
Eng. Appl. Artif. Intell., 2005

Spatiotemporal blind source separation using double-sided approximate joint diagonalization.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Comparison of two exploratory data analysis methods for fMRI: unsupervised clustering versus independent component analysis.
IEEE Trans. Inf. Technol. Biomed., 2004

Fully automated biomedical image segmentation by self-organized model adaptation.
Neural Networks, 2004

Model-free functional MRI analysis based on unsupervised clustering.
J. Biomed. Informatics, 2004

Model-free functional mri analysis using topographic independent component analysis.
Int. J. Neural Syst., 2004

Local exponential stability of competitive neural networks with different time scales.
Eng. Appl. Artif. Intell., 2004

Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Global exponential stability of competitive neural networks with different time scales.
IEEE Trans. Neural Networks, 2003

Global Asymptotic Stability of a Class of Dynamical Neural Networks.
Int. J. Neural Syst., 2003

Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2000
An interspike interval method for computing phase locking from neural firing.
Biol. Cybern., 2000

Medical Image Compression by 'Neural-Gas' Network and Principal Component Analysis.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Neural Net Computing for Image Processing.
Proceedings of the Computer Vision and Applications, 2000

1999
Asymptotic Hyperstability of a Class of Neural Networks.
Int. J. Neural Syst., 1999

Neuronale Netz-Detektion von Brustkrebs basierend auf einer Multi-Skalen Analyse.
Proceedings of the Bildverarbeitung für die Medizin 1999: Algorithmen, 1999

1998
A Fast Modified CORDIC - Implementation of Radial Basis Neural Networks.
J. VLSI Signal Process., 1998

Transformation radial basis neural network for relevant feature selection.
Pattern Recognit. Lett., 1998

1997
Stability Analysis of a Class of Noise Perturbed Neural Networks.
Int. J. Neural Syst., 1997

Global stability analysis of a nonlinear principal component analysis neural network.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Perturbation analysis of a class of neural networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Multiscale Segmentation Through a Radial Basis Neural Network.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

1996
Dynamische neuronale Netze und neuronale Radialbasisnetze mit Anwendung in der Sprachverarbeitung.
PhD thesis, 1996

Singular Perturbation Analysis of Competitive Neural Networks with Different Time Scales.
Neural Comput., 1996

1995
Quadratic-Type Lyapunov Functions for Competitive Neural Networks with Different Time-Scales.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Relevant features selection with radial basis neural networks.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Quadratic-type Lyapunov functions for competitive neural networks with different time-scales.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Stability analysis techniques for competitive neural networks with different time-scales.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994
COordinate Rotation DIgital Computer (CORDIC) Synthesis for FPGA.
Proceedings of the Field-Programmable Logic, 1994

1993
Modulares Neuronales Phonemerkennungskonzept.
Proceedings of the Mustererkennung 1993, 1993


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