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ORCIDAnke Meyer-Bäse
Anke Meyer-Baese
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- affiliation: Florida State University, Department of Scientific Computing
- affiliation: Darmstadt University of Technology, Department of Electrical and Computer Engineering
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2020 – today
- 2024
[j57]Ali Moradi Amani
, Amirhessam Tahmassebi, Andreas Stadlbauer, Uwe Meyer-Baese, Vincent Noblet, Frederic Blanc, Hagen Malberg, Anke Meyer-Baese:
Controllability of Functional and Structural Brain Networks. Complex. 2024 (2024)- 2023
- [c65]Kevin Mueller, Anke Meyer-Baese, Gordon Erlebacher:
Combining graph neural networks and ROI-based convolutional neural networks to infer individualized graphs for Alzheimer's prediction. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - 2022
- [j56]Shiliang Pan, Qimin Zhang, Anke Meyer-Baese:
Stationary distribution of a stochastic vegetation-water system with reaction-diffusion. Appl. Math. Lett. 123: 107589 (2022) - [j55]Jing Hu, Anke Meyer-Baese, Qimin Zhang:
Analysis of a stochastic reaction-diffusion Alzheimer's disease system driven by space-time white noise. Appl. Math. Lett. 134: 108308 (2022) - [j54]Jing Hu, Qimin Zhang, Anke Meyer-Baese, Ming Ye:
Bifurcation Analysis and Finite-Time Contraction Stability of an Alzheimer Disease Model. Int. J. Bifurc. Chaos 32(4): 2250060:1-2250060:26 (2022) - [c64]Philip Solimine, Anke Meyer-Baese:
Input design for the optimal control of networked moments. CDC 2022: 5894-5901 - [c63]Kevin Mueller, Anke Meyer-Baese, Gordon Erlebacher:
Multimodal region-based transformer for the classification and prediction of Alzheimer's disease. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c62]Amirhessam Tahmassebi, Kevin Mueller, Uwe Meyer-Baese, Jorge Munilla, Andrés Ortiz, Anke Meyer-Baese:
Graph signal processing to identify biomarkers in brain networks in dementia. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - 2021
- [j53]Huanyu Zang, Simon Y. Foo, Shonda Bernadin, Anke Meyer-Baese:
Facial Emotion Recognition Using Asymmetric Pyramidal Networks With Gradient Centralization. IEEE Access 9: 64487-64498 (2021) - [c61]Behshad Mohebali, Gelareh Karbaschi, Amirhessam Tahmassebi, Anke Meyer-Baese, Amir H. Gandomi:
An Evolutionary Framework for Real-Time Fraudulent Credit Detection. CEC 2021: 1999-2006 - [c60]Amirhessam Tahmassebi, Uwe Meyer-Baese, Anke Meyer-Baese:
Structural Target Controllability of Brain Networks in Dementia. EMBC 2021: 3978-3981 - [c59]Luke Van Popering, Amirhessam Tahmassebi, Uwe Meyer-Baese, Martin Dyrba, Jorge Munilla, Andrés Ortiz, Anke Meyer-Baese:
Identifying the diffusion source of dementia spreading in structural brain networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [i3]Philip Solimine, Anke Meyer-Baese:
Efficient input placement for the optimal control of network moments. CoRR abs/2106.05265 (2021) - 2020
- [c58]Amirhessam Tahmassebi, Jennifer Martin, Anke Meyer-Baese, Amir H. Gandomi:
An Interpretable Deep Learning Framework for Health Monitoring Systems: A Case Study of Eye State Detection using EEG Signals. SSCI 2020: 211-218
2010 – 2019
- 2019
- [j52]Anke Meyer-Bäse, Ali Moradi Amani, Uwe Meyer-Bäse, Simon Foo, Andreas Stadlbauer, W. Yu:
Pinning observability of competitive neural networks with different time-constants. Neurocomputing 329: 97-102 (2019) - 2018
- [j51]Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer-Baese:
Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification. Complex. 2018: 2740817:1-2740817:24 (2018) - [c57]Amirhessam Tahmassebi, Amir H. Gandomi, Anke Meyer-Baese:
An Evolutionary Online Framework for MOOC Performance Using EEG Data. CEC 2018: 1-8 - [c56]Amirhessam Tahmassebi, Amir H. Gandomi, Anke Meyer-Baese:
A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction. CEC 2018: 1-8 - [c55]Ignacio A. Illán, J. Perez Matos, Javier Ramírez, Juan Manuel Górriz, Simon Y. Foo, Anke Meyer-Baese:
3D Gabor Filters for Chest Segmentation in DCE-MRI. HAIS 2018: 446-454 - [c54]Olmo Zavala-Romero, Anke Meyer-Baese, Marc B. I. Lobbes:
Breast lesion segmentation software for DCE-MRI: An open source GPGPU based optimization. ISBI 2018: 211-215 - [c53]Amirhessam Tahmassebi, Katja Pinker-Domenig, Georg Wengert, Thomas Helbich, Zsuzsanna Bago-Horvath, Anke Meyer-Baese:
Determining the importance of parameters extracted from multi-parametric MRI in the early prediction of the response to neo-adjuvant chemotherapy in breast cancer. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057818 - [c52]Amirhessam Tahmassebi, Ali Moradi Amani, Katja Pinker-Domenig, Anke Meyer-Baese:
Determining disease evolution driver nodes in dementia networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057829 - [c51]Ignacio A. Illán, Javier Ramírez, J. M. Górriz, Katja Pinker-Domenig, Anke Meyer-Baese:
Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis. RAMBO+BIA+TIA@MICCAI 2018: 124-131 - [c50]Ignacio A. Illán, Javier Ramírez, J. M. Górriz, Katja Pinker-Domenig, Anke Meyer-Baese:
Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets. SOCO-CISIS-ICEUTE 2018: 221-229 - [c49]Amirhessam Tahmassebi, Amir H. Gandomi, Ian McCann, Mieke H. J. Schulte, Anna E. Goudriaan, Anke Meyer-Baese:
Deep Learning in Medical Imaging: fMRI Big Data Analysis via Convolutional Neural Networks. PEARC 2018: 85:1-85:4 - [i2]Ignacio Álvarez Illán, Javier Ramírez, Juan Manuel Górriz, Katja Pinker-Domenig, Anke Meyer-Baese:
Automated non-mass enhancing lesion detection and segmentation in breast DCE-MRI. CoRR abs/1803.04200 (2018) - 2017
- [j50]Anke Meyer-Bäse, Rodney G. Roberts, Ignacio A. Illán, Uwe Meyer-Bäse, Marc Lobbes, Andreas Stadlbauer, Katja Pinker-Domenig:
Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks. Frontiers Comput. Neurosci. 11: 87 (2017) - [j49]Laila Khedher, Ignacio Álvarez, Juan Manuel Górriz, Javier Ramírez, Abdelbasset Brahim, Anke Meyer-Baese:
Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support. Int. J. Neural Syst. 27(3): 1650050:1-1650050:18 (2017) - [j48]Gnaneswaran Nagamani, S. Ramasamy, Anke Meyer-Baese:
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. 28(4): 717-735 (2017) - [c48]Amirhessam Tahmassebi, Amir H. Gandomi, Ian McCann, Mieke H. J. Schulte, Lianne Schmaal, Anna E. Goudriaan, Anke Meyer-Baese:
An evolutionary approach for fMRI big data classification. CEC 2017: 1029-1036 - [c47]Amirhessam Tahmassebi, Amir H. Gandomi, Anke Meyer-Bäse:
High Performance GP-Based Approach for fMRI Big Data Classification. PEARC 2017: 57:1-57:4 - 2016
- [j47]Uwe Meyer-Baese, Anke Meyer-Baese, Diego González, Guillermo Botella, Carlos García, Manuel Prieto-Matías:
Code obfuscation using very long identifiers for FFT motion estimation models in embedded processors. J. Real Time Image Process. 11(4): 817-827 (2016) - [c46]Sebastian Vlaic, Robert Altwasser, Peter Kupfer, Carol L. Nilsson, Mark R. Emmett, Anke Meyer-Baese, Reinhard Guthke:
Inference of Predictive Phospho-regulatory Networks from LC-MS/MS Phosphoproteomics Data. BIOINFORMATICS 2016: 85-91 - [c45]Aria Smith, Anahid Ehtemami, Daniel Fratte, Anke Meyer-Baese, Olmo Zavala-Romero, Anna E. Goudriaan, Lianne Schmaal, Mieke H. J. Schulte:
Functional connectivity analysis of resting-state fMRI networks in nicotine dependent patients. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 978827 - [c44]Guillaume Lemaître, Mojdeh Rastgoo, Joan Massich, Joan Carles Vilanova, Paul Michael Walker, Jordi Freixenet, Anke Meyer-Baese, Fabrice Mériaudeau, Robert Martí:
Normalization of T2W-MRI prostate images using Rician a priori. Medical Imaging: Computer-Aided Diagnosis 2016: 978529 - 2015
- [j46]Sylvain Lespinats, Michaël Aupetit, Anke Meyer-Baese:
ClassiMap: A New Dimension Reduction Technique for Exploratory Data Analysis of Labeled Data. Int. J. Pattern Recognit. Artif. Intell. 29(6): 1551008:1-1551008:45 (2015) - [c43]Andreas Kleefeld, Anke Meyer-Baese, Bernhard Burgeth:
Elementary Morphology for SO(2)- and SO(3)-Orientation Fields. ISMM 2015: 458-469 - [c42]Diego González, Guillermo Botella, Carlos García, Anke Meyer-Bäse, Uwe Meyer-Bäse, Manuel Prieto-Matías:
Customized Nios II multi-cycle instructions to accelerate block-matching techniques. Real-Time Image and Video Processing 2015: 940002 - 2014
- [j45]Anke Meyer-Baese, Claudia Plant, Juan Manuel Górriz Sáez:
Advanced Computer Vision Approaches in Biomedical Image Analysis. Comput. Math. Methods Medicine 2014: 347265:1-347265:2 (2014) - [j44]Olmo Zavala-Romero, Arsalan Ahmed, Eric P. Chassignet, Jorge Zavala-Hidalgo, Agustin Fernández Eguiarte, Anke Meyer-Baese:
An open source Java web application to build self-contained web GIS sites. Environ. Model. Softw. 62: 210-220 (2014) - [j43]Ignacio Álvarez Illán, Juan Manuel Górriz, Javier Ramírez, Anke Meyer-Baese:
Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach. Frontiers Comput. Neurosci. 8: 156 (2014) - [j42]Claudia Plant, Andrew Zherdin, Christian Sorg, Anke Meyer-Bäse, Afra M. Wohlschläger:
Mining Interaction Patterns among Brain Regions by Clustering. IEEE Trans. Knowl. Data Eng. 26(9): 2237-2249 (2014) - [c41]Olmo Zavala-Romero, Eric P. Chassignet, Jorge Zavala-Hidalgo, Panagiotis Velissariou, Harshul Pandav, Anke Meyer-Baese:
OWGIS 2.0: Open source Java application that builds web GIS interfaces for desktop and mobile devices. SIGSPATIAL/GIS 2014: 311-320 - [c40]Sebastian Goebl, Anke Meyer-Bäse, Marc Lobbes, Claudia Plant:
Segmentation and Kinetic Analysis of Breast Lesions in DCE-MR Imaging Using ICA. ITBAM 2014: 45-59 - 2013
- [j41]Felix Retter, Claudia Plant, Bernhard Burgeth, Guillermo Botella, Thomas Schlossbauer, Anke Meyer-Bäse:
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: 157 (2013) - [j40]Sebastian Hoffmann, Jamie D. Shutler, Marc Lobbes, Bernhard Burgeth, Anke Meyer-Bäse:
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: 172 (2013) - [j39]Anke Meyer-Bäse, Guillermo Botella Juan, Liliana Rybarska-Rusinek:
Stochastic stability analysis of competitive neural networks with different time-scales. Neurocomputing 118: 115-118 (2013) - 2012
- [j38]Anke Meyer-Baese, Sylvain Lespinats, Juan Manuel Górriz Sáez, Olivier Bastien:
Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine. Adv. Artif. Neural Syst. 2012: 219860:1-219860:2 (2012) - [j37]Frank Steinbrücker, Anke Meyer-Baese, Thomas Schlossbauer, Daniel Cremers:
Evaluation of a Nonrigid Motion Compensation Technique Based on Spatiotemporal Features for Small Lesion Detection in Breast MRI. Adv. Artif. Neural Syst. 2012: 808602:1-808602:10 (2012) - [j36]Frank Steinbrücker, Anke Meyer-Baese, Claudia Plant, Thomas Schlossbauer, Uwe Meyer-Baese:
Selection of Spatiotemporal Features in Breast MRI to Differentiate between Malignant and Benign Small Lesions Using Computer-Aided Diagnosis. Adv. Artif. Neural Syst. 2012: 919281:1-919281:8 (2012) - [j35]Claudia Plant, Son Thai Mai, Junming Shao, Fabian J. Theis, Anke Meyer-Baese, Christian Böhm:
Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms. Adv. Artif. Neural Syst. 2012: 962105:1-962105:13 (2012) - [j34]Sebastian Vlaic, Wolfgang Schmidt-Heck, Madlen Matz-Soja, Eugenia Marbach, Jörg Linde, Anke Meyer-Baese, Sebastian Zellmer, Reinhard Guthke, Rolf Gebhardt:
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. 6: 147 (2012) - [c39]Liangjing Ding, Adrian Barbu, Anke Meyer-Baese:
Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension. ACCV Workshops (2) 2012: 491-505 - [c38]Liangjing Ding, Adrian Barbu, Anke Meyer-Baese:
Learning a Quality-Based Ranking for Feature Point Trajectories. ACCV (3) 2012: 718-733 - [c37]Olmo Zavala-Romero, Anke Meyer-Baese, Uwe Meyer-Baese:
Multiplatform GPGPU implementation of the active contours without edges algorithm. Visual Information Processing 2012: 83990E - [i1]Sylvain Lespinats, Anke Meyer-Bäse, Michaël Aupetit:
A new supervised non-linear mapping. CoRR abs/1203.2021 (2012) - 2010
- [j33]Ernst Althaus, Stefan Canzar, Carsten Ehrler, Mark R. Emmett, Andreas Karrenbauer, Alan G. Marshall, Anke Meyer-Bäse, Jeremiah D. Tipton, Huimin Zhang:
Computing H/D-Exchange rates of single residues from data of proteolytic fragments. BMC Bioinform. 11: 424 (2010) - [j32]Robert Görke, Anke Meyer-Bäse, Dorothea Wagner, Huan He, Mark R. Emmett, Charles A. Conrad:
Determining and interpreting correlations in lipidomic networks found in glioblastoma cells. BMC Syst. Biol. 4: 126 (2010) - [j31]Anke Meyer-Bäse, Rodney G. Roberts, Vera Thümmler:
Local uniform stability of competitive neural networks with different time-scales under vanishing perturbations. Neurocomputing 73(4-6): 770-775 (2010) - [j30]Uwe Meyer-Bäse, G. Alonzo Vera, Anke Meyer-Bäse, Marios S. Pattichis, Reginald J. Perry:
An Undergraduate Course and Laboratory in Digital Signal Processing With Field Programmable Gate Arrays. IEEE Trans. Educ. 53(4): 638-645 (2010) - [c36]Anke Meyer-Bäse, Fabian J. Theis:
Robust Stability Analysis and Design Under Consideration of Multiple Feedback Loops in the Tryptophan Regulatory Network of E. coli. BIOCOMP 2010: 755-759 - [c35]Anke Meyer-Bäse, Claudia Plant, Susanne Cappendijk, Fabian J. Theis:
Robust Stability Analysis of Multi-Time Scale Genetic Regulatory Networks under Parametric Uncertainties. BIOCOMP 2010: 854-863 - [c34]Claudia Plant, Fabian J. Theis, Anke Meyer-Bäse, Christian Böhm:
Information-Theoretic Model Selection for Independent Components. LVA/ICA 2010: 254-262 - [c33]Anke Meyer-Bäse, Sylvain Lespinats, Ingo R. Keck, Elmar Wolfgang Lang:
Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties. IJCNN 2010: 1-5
2000 – 2009
- 2009
- [j29]Axel Saalbach, Oliver Lange, Tim W. Nattkemper, Anke Meyer-Baese:
On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data. Biomed. Signal Process. Control. 4(3): 247-253 (2009) - [j28]Peter Gruber, Anke Meyer-Bäse, Simon Y. Foo, Fabian J. Theis:
ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data. Eng. Appl. Artif. Intell. 22(4-5): 497-504 (2009) - [j27]Anke Meyer-Bäse, Thomas Schlossbauer, Oliver Lange, Axel Wismüller:
Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI. Int. J. Biomed. Imaging 2009: 326924:1-326924:10 (2009) - [j26]Anke Meyer-Bäse, Ali J. Koshkouei, Mark R. Emmett, David P. Goodall:
Global stability analysis and robust design of multi-time-scale biological networks under parametric uncertainties. Neural Networks 22(5-6): 658-663 (2009) - [c32]Ernst Althaus, Stefan Canzar, Carsten Ehrler, Mark R. Emmett, Andreas Karrenbauer, Alan G. Marshall, Anke Meyer-Bäse, Jeremiah Tiptopn, Huimin Zhang:
Discrete Fitting of Hydrogen-Deuterium-Exchange-data of Overlapping Fragments. BIOCOMP 2009: 496-502 - [c31]Anke Meyer-Bäse, Susanne Cappendijk, Ernst Althaus:
Robust Stability Analysis of the Tryptophan Regulatory Network of E.Coli. BIOCOMP 2009: 510-513 - [c30]Sylvain Lespinats, Anke Meyer-Bäse, Frank Steinbrücker, Thomas Schlossbauer:
Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods. IJCNN 2009: 1764-1770 - [c29]Anke Meyer-Bäse, Susanne Cappendijk, Ernst Althaus:
Global uniform stability analysis of biological networks with different time-scales under perturbations. IJCNN 2009: 2098-2102 - 2008
- [j25]Thorsten Twellmann, Anke Meyer-Bäse, Oliver Lange, Simon Y. Foo, Tim W. Nattkemper:
Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning. Eng. Appl. Artif. Intell. 21(2): 129-140 (2008) - [j24]Anke Meyer-Bäse, Vera Thümmler:
Local and Global Stability Analysis of an Unsupervised Competitive Neural Network. IEEE Trans. Neural Networks 19(2): 346-351 (2008) - [c28]Anke Meyer-Bäse, Fabian J. Theis:
Stochastic Stability Analysis of the Heat Shock Response in E. Coli. BIOCOMP 2008: 39-42 - [c27]Anke Meyer-Bäse, Oliver Lange, Thomas Schlossbauer, Axel Wismüller:
Computer-aided diagnosis and visualization based on clustering and independent component analysis for breast MRI. ICIP 2008: 3000-3003 - [c26]Ernst Althaus, Stefan Canzar, Mark R. Emmett, Andreas Karrenbauer, Alan G. Marshall, Anke Meyer-Bäse, Huimin Zhang:
Computing H/D-exchange speeds of single residues from data of peptic fragments. SAC 2008: 1273-1277 - 2007
- [j23]Anke Meyer-Bäse, Axel Saalbach, Oliver Lange, Axel Wismüller:
Unsupervised clustering of fMRI and MRI time series. Biomed. Signal Process. Control. 2(4): 295-310 (2007) - [j22]Anke Meyer-Bäse, Rodney G. Roberts, Hyun Geun Yu:
Robust stability analysis of competitive neural networks with different time-scales under perturbations. Neurocomputing 71(1-3): 417-420 (2007) - [j21]Anke Meyer-Bäse, Oliver Lange, Axel Wismüller, Monica K. Hurdal:
Analysis of Dynamic Susceptibility Contrast MRI Time Series Based on Unsupervised Clustering Methods. IEEE Trans. Inf. Technol. Biomed. 11(5): 563-573 (2007) - [c25]Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse:
Enhanced prediction of protein cellular localization sites with genetic algorithm optimal kernel projection analysis. IEEE Congress on Evolutionary Computation 2007: 1429-1435 - [c24]Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse:
Novel Kernels and Kernel PCA for Pattern Recognition. CIRA 2007: 438-443 - [c23]Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse:
Evolutionary computation-based kernel optimal component analysis for pattern recognition. GECCO 2007: 2258 - [c22]Anke Meyer-Bäse, Axel Saalbach:
Graphical Model-Based ICA Applied to the Analysis of fMRI and MRI Time Series. IJCNN 2007: 1651-1656 - [c21]Anke Meyer-Bäse, Rodney G. Roberts, Hyun Geun Yu:
Global Asymptotic Stability Analysis of Both Matched and Unmatched Uncertain Neural Networks. IJCNN 2007: 1669-1672 - [c20]Axel Wismüller, Anke Meyer-Baese, Gerda L. Leinsinger, Oliver Lange, Thomas Schlossbauer, Maximilian F. Reiser:
Neural network vector quantization improves the diagnostic quality of computer-aided diagnosis in dynamic breast MRI. Medical Imaging: Computer-Aided Diagnosis 2007: 65141F - [c19]Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse:
A performance analysis of lattice oscilation model kernels and KPCA. SMC 2007: 1608-1611 - 2006
- [j20]Oliver Lange, Anke Meyer-Baese, Monica K. Hurdal, Simon Y. Foo:
A comparison between neural and fuzzy cluster analysis techniques for functional MRI. Biomed. Signal Process. Control. 1(3): 243-252 (2006) - [j19]Anke Meyer-Bäse, Peter Gruber, Fabian J. Theis, Simon Y. Foo:
Blind source separation based on self-organizing neural network. Eng. Appl. Artif. Intell. 19(3): 305-311 (2006) - [j18]Anke Meyer-Bäse, Sergei S. Pilyugin:
Stability analysis of an unsupervised neural network with feedforward and feedback dynamics. Neurocomputing 70(1-3): 603-606 (2006) - [j17]Axel Wismüller, Anke Meyer-Bäse, Oliver Lange, Thomas Schlossbauer, Maria Kallergi, Maximilian F. Reiser, Gerda L. Leinsinger:
Segmentation and classification of dynamic breast magnetic resonance image data. J. Electronic Imaging 15(1): 013020 (2006) - [j16]Axel Wismüller, Anke Meyer-Bäse, Oliver Lange, Maximilian F. Reiser, Gerda L. Leinsinger:
Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series. IEEE Trans. Medical Imaging 25(1): 62-73 (2006) - [c18]Anke Meyer-Bäse, Vera Thümmler, Fabian J. Theis:
Stability Analysis of an Unsupervised Competitive Neural Network. IJCNN 2006: 1025-1028 - [c17]Anke Meyer-Bäse, Rodney G. Roberts, S. Joshi:
Robust Stability Analysis of a Class of Noise Perturbed Two-Time Scale Neural Networks. IJCNN 2006: 1029-1032 - [c16]Axel Wismüller, Anke Meyer-Bäse, Johannes Behrends, Oliver Lange, Miriana Jukic, Maximilian F. Reiser, Dorothee Auer:
A flexible machine learning image analysis system for high-precision computer-assisted segmentation of multispectral MRI data sets in patients with multiple sclerosis. ISBI 2006: 1328-1331 - 2005
- [j15]Anke Meyer-Bäse, Karsten Jancke, Axel Wismüller, Simon Foo, Thomas Martinetz:
Medical image compression using topology-preserving neural networks. Eng. Appl. Artif. Intell. 18(4): 383-392 (2005) - [j14]Anke Meyer-Bäse, Monica K. Hurdal, Oliver Lange, Helge J. Ritter:
Clustering of Dependent Components: A New Paradigm for fMRI Signal Detection. EURASIP J. Adv. Signal Process. 2005(19): 3089-3102 (2005) - [c15]Fabian J. Theis, Peter Gruber, Ingo R. Keck, Anke Meyer-Bäse, Elmar Wolfgang Lang:
Spatiotemporal blind source separation using double-sided approximate joint diagonalization. EUSIPCO 2005: 1-4 - 2004
- [j13]Anke Meyer-Bäse, Sergei S. Pilyugin, Axel Wismüller, Simon Foo:
Local exponential stability of competitive neural networks with different time scales. Eng. Appl. Artif. Intell. 17(3): 227-232 (2004) - [j12]Anke Meyer-Bäse, Oliver Lange, Axel Wismüller, Helge J. Ritter:
Model-free functional mri analysis using topographic independent component analysis. Int. J. Neural Syst. 14(4): 217-228 (2004) - [j11]Axel Wismüller, Anke Meyer-Bäse, Oliver Lange, Dorothee Auer, Maximilian F. Reiser, DeWitt Sumners:
Model-free functional MRI analysis based on unsupervised clustering. J. Biomed. Informatics 37(1): 10-18 (2004) - [j10]Axel Wismüller, Frank Vietze, Johannes Behrends, Anke Meyer-Bäse, Maximilian F. Reiser, Helge J. Ritter:
Fully automated biomedical image segmentation by self-organized model adaptation. Neural Networks 17(8-9): 1327-1344 (2004) - [j9]Anke Meyer-Bäse, Axel Wismüller, Oliver Lange:
Comparison of two exploratory data analysis methods for fMRI: unsupervised clustering versus independent component analysis. IEEE Trans. Inf. Technol. Biomed. 8(3): 387-398 (2004) - [c14]Fabian J. Theis, Anke Meyer-Bäse, Elmar Wolfgang Lang:
Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances. ICA 2004: 726-733 - [c13]Anke Meyer-Bäse, Fabian J. Theis, Oliver Lange, Carlos García Puntonet:
Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis. ICA 2004: 782-789 - 2003
- [j8]Anke Meyer-Bäse, Sergei S. Pilyugin:
Global Asymptotic Stability of a Class of Dynamical Neural Networks. Int. J. Neural Syst. 13(1): 47-53 (2003) - [j7]Anke Meyer-Bäse, Sergei S. Pilyugin, Y. Chen:
Global exponential stability of competitive neural networks with different time scales. IEEE Trans. Neural Networks 14(3): 716-719 (2003) - [c12]Anke Meyer-Bäse, Thomas D. Otto, Thomas Martinetz, Dorothee Auer, Axel Wismüller:
Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis. ESANN 2003: 509-514 - 2000
- [j6]Uwe Meyer-Bäse, Anke Meyer-Bäse, Henning Scheich:
An interspike interval method for computing phase locking from neural firing. Biol. Cybern. 82(4): 283-290 (2000) - [c11]Anke Meyer-Bäse:
Medical Image Compression by 'Neural-Gas' Network and Principal Component Analysis. IJCNN (5) 2000: 489-493 - [p1]Anke Meyer-Bäse:
Neural Net Computing for Image Processing. Computer Vision and Applications 2000: 577-606
1990 – 1999
- 1999
- [j5]Anke Meyer-Bäse:
Asymptotic Hyperstability of a Class of Neural Networks. Int. J. Neural Syst. 9(2): 95-98 (1999) - [c10]Anke Meyer-Bäse:
Neuronale Netz-Detektion von Brustkrebs basierend auf einer Multi-Skalen Analyse. Bildverarbeitung für die Medizin 1999: 287-291 - 1998
- [j4]Anke Meyer-Bäse, Rolf Watzel:
Transformation radial basis neural network for relevant feature selection. Pattern Recognit. Lett. 19(14): 1301-1306 (1998) - [j3]Uwe Meyer-Bäse, Anke Meyer-Bäse, Jonathon David Mellott, Fred J. Taylor:
A Fast Modified CORDIC - Implementation of Radial Basis Neural Networks. J. VLSI Signal Process. 20(3): 211-218 (1998) - 1997
- [j2]Anke Meyer-Bäse:
Stability Analysis of a Class of Noise Perturbed Neural Networks. Int. J. Neural Syst. 8(3): 295-300 (1997) - [c9]Xuli Zong, Anke Meyer-Bäse, Andrew Laine:
Multiscale Segmentation Through a Radial Basis Neural Network. ICIP (3) 1997: 400-403 - [c8]Anke Meyer-Bäse:
Perturbation analysis of a class of neural networks. ICNN 1997: 825-828 - [c7]Anke Meyer-Bäse:
Global stability analysis of a nonlinear principal component analysis neural network. ICNN 1997: 1785-1787 - 1996
- [b1]Anke Meyer-Bäse:
Dynamische neuronale Netze und neuronale Radialbasisnetze mit Anwendung in der Sprachverarbeitung. Darmstadt University of Technology, Germany, VDI-Verlag 1996, ISBN 978-3-18-340510-7, pp. 1-153 - [j1]Anke Meyer-Bäse, Frank W. Ohl, Henning Scheich:
Singular Perturbation Analysis of Competitive Neural Networks with Different Time Scales. Neural Comput. 8(8): 1731-1742 (1996) - 1995
- [c6]Anke Meyer-Bäse, Rolf Watzel:
Relevant features selection with radial basis neural networks. ICNN 1995: 963-967 - [c5]Anke Meyer-Bäse, Frank W. Ohl, Henning Scheich:
Quadratic-type Lyapunov functions for competitive neural networks with different time-scales. ICNN 1995: 3210-3214 - [c4]Anke Meyer-Baese, Frank W. Ohl, Henning Scheich:
Stability analysis techniques for competitive neural networks with different time-scales. ICNN 1995: 3215-3219 - [c3]Anke Meyer-Bäse:
Quadratic-Type Lyapunov Functions for Competitive Neural Networks with Different Time-Scales. NIPS 1995: 337-343 - 1994
- [c2]Uwe Meyer-Bäse, Anke Meyer-Bäse, Wolfgang Hilberg:
COordinate Rotation DIgital Computer (CORDIC) Synthesis for FPGA. FPL 1994: 397-408 - 1993
- [c1]Anke Meyer-Bäse, W. Endres, Wolfgang Hilberg, Henning Scheich:
Modulares Neuronales Phonemerkennungskonzept. DAGM-Symposium 1993: 670-677
Coauthor Index
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