Axel Wismüller

Axel Wismüller, Christoph Schmidt, Mahesh Nagarajan, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Regional autonomy changes in resting-state functional MRI in patients with HIV associated neurocognitive disorder

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2018, Medical Imaging.

Predicting the biomechanical strength of proximal femur specimens through high dimensional geometric features and support vector regression

Thomas Baum, Thomas M. Link, Axel Wismüller, 2013, Medical Imaging.

Model-free functional MRI analysis based on unsupervised clustering

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

Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression

Thomas Baum, Thomas M. Link, Axel Wismüller, 2014, J. Electronic Imaging.

The Exploration Machine - a novel method for structure-preserving dimensionality reduction

Axel Wismüller, 2009, ESANN.

Integrating Dimension Reduction and Out-of-Sample Extension in Automated Classification of Ex Vivo Human Patellar Cartilage on Phase Contrast X-Ray Computed Tomography

Axel Wismüller, Paul C. Diemoz, Paola Coan, 2015, PloS one.

Tumor feature visualization with unsupervised learning

Axel Wismüller, Tim W. Nattkemper, T. Nattkemper, 2005, Medical Image Anal..

Computer-aided segmentation and 3D analysis of in vivo MRI examinations of the human vocal tract during phonation

Phil Hoole, Axel Wismüller, Anke Meyer-Baese, 2008, SPIE Medical Imaging.

Introducing anisotropic Minkowski functionals and quantitative anisotropy measures for local structure analysis in biomedical imaging

Axel Wismüller, Felix Eckstein, Mahesh B. Nagarajan, 2013, Medical Imaging.

Predicting the biomechanical strength of proximal femur specimens with Minkowski functionals and support vector regression

Thomas Baum, Thomas M. Link, Axel Wismüller, 2014, Medical Imaging.

Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks

Axel Wismüller, Paola Coan, Anas Z. Abidin, 2017, Medical Imaging.

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..

Detecting altered connectivity patterns in HIV associated neurocognitive impairment using mutual connectivity analysis

Axel Wismüller, Mahesh B. Nagarajan, Anas Zainul Abidin, 2016, SPIE Medical Imaging.

Identification of whole-brain network modules based on a large scale Granger Causality approach

Axel Wismüller, Herbert Witte, Lutz Leistritz, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Characterization of healthy and osteoarthritic chondrocyte cell patterns on phase contrast CT images of the knee cartilage matrix

Axel Wismüller, Paola Coan, Christian Glaser, 2012, Medical Imaging.

MRI tumor segmentation with densely connected 3D CNN

Chenliang Xu, Axel Wismüller, Yue Wu, 2018, Medical Imaging.

Theory and applications of neural maps

Thomas Villmann, Axel Wismüller, Udo Seiffert, 2004, ESANN.

Cluster Analysis of Biomedical Image Time-Series

Axel Wismüller, Dominik R. Dersch, Klaus Hahn, 2002, International Journal of Computer Vision.

Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage

Axel Wismüller, Paola Coan, Anas Z. Abidin, 2018, Comput. Biol. Medicine.

Mutual connectivity analysis of resting-state functional MRI data with local models

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2018, NeuroImage.

Detecting connectivity changes in autism spectrum disorder using large-scale Granger causality

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2019, Medical Imaging: Image Processing.

Computational intelligence in biomedical imaging: multidimensional analysis of spatio-temporal patterns

Axel Wismüller, A. Wismüller, 2011, Computer Science - Research and Development.

A Computational Framework for Nonlinear Dimensionality Reduction and Clustering

Axel Wismüller, 2009, WSOM.

Human Vocal Tract Analysis by in Vivo 3D MRI during Phonation: A Complete System for Imaging, Quantitative Modeling, and Speech Synthesis

Phil Hoole, Axel Wismüller, Maximilian Reiser, 2008, MICCAI.

A Segmentation and Analysis Method for MRI Data of the Human Vocal Tract

Phil Hoole, Axel Wismüller, Klaus Hahn, 2003, Bildverarbeitung für die Medizin.

Volumetric characterization of human patellar cartilage matrix on phase contrast x-ray computed tomography

Axel Wismüller, Paul C. Diemoz, Paola Coan, 2015, Medical Imaging.

Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2019, Comput. Biol. Medicine.

Large-scale Granger causality analysis on resting-state functional MRI

Axel Wismüller, Lutz Leistritz, Anas Zainul Abidin, 2016, SPIE Medical Imaging.

Modified total variation norm for the maximum a posteriori ordered subsets expectation maximization reconstruction in fan-beam SPECT brain perfusion imaging

Andrzej Krol, Yuesheng Xu, David H. Feiglin, 2011, Medical Imaging.

Model-free functional MRI analysis based on unsupervised clustering

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

Classification of attention-deficit/hyperactivity disorder from resting-state functional MRI with mutual connectivity analysis

Axel Wismüller, John J. Foxe, Seyed Saman Saboksayr, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

Performance evaluation based on cluster validity indices in medical imaging

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

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.

Analysis of breast lesions on contrast-enhanced magnetic resonance images using high-dimensional texture features

Axel Wismüller, Thomas Schlossbauer, Mahesh B. Nagarajan, 2010, Medical Imaging.

Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data pdf

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2020, Scientific Reports.

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

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

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.

Classification of Small Lesions in Breast MRI: Evaluating The Role of Dynamically Extracted Texture Features Through Feature Selection.

Axel Wismüller, Thomas Schlossbauer, Mahesh B. Nagarajan, 2013, Journal of medical and biological engineering.

Segmentation with neural networks

Axel Wismüller, Dominik R. Dersch, Frank Vietze, 2000 .

Estimating local scaling properties for the classification of interstitial lung disease patterns

Axel Wismüller, Lawrence A. Ray, Mahesh B. Nagarajan, 2011, Medical Imaging.

Automated identification of thoracic pathology from chest radiographs with enhanced training pipeline

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2020, 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.

Mutual connectivity analysis (MCA) using generalized radial basis function neural networks for nonlinear functional connectivity network recovery in resting-state functional MRI

Axel Wismüller, Mahesh B. Nagarajan, Anas Zainul Abidin, 2016, SPIE Medical Imaging.

Using large-scale Granger causality to study changes in brain network properties in the Clinically Isolated Syndrome (CIS) stage of multiple sclerosis

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2017, Medical Imaging.

The Exploration Machine - A Novel Method for Data Visualization

Axel Wismüller, A. Wismüller, 2009, WSOM.

Prediction of Biomechanical Properties of Trabecular Bone in MR Images With Geometric Features and Support Vector Regression

Axel Wismüller, Mahesh B. Nagarajan, Markus B. Huber, 2011, IEEE Transactions on Biomedical Engineering.

Classification of autism spectrum disorder from resting-state fMRI with mutual connectivity analysis

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2019, Medical Imaging.

Elastic Distortion of Deformable Feature Maps for Fully-Automatic Segmentation of Multispectral MRI Data Sets of the Human Brain

Helge J. Ritter, Axel Wismüller, Dominik R. Dersch, 2000, Bildverarbeitung für die Medizin.

Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography

Axel Wismüller, Paul C. Diemoz, Paola Coan, 2015, Medical & Biological Engineering & Computing.

An Adaptive Extended Colour Scale for Comparison of Pseudo Colouring Techniques for DCE-MRI Data

Axel Wismüller, Tim W. Nattkemper, Axel Saalbach, 2005, Bildverarbeitung für die Medizin.

Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks pdf

Axel Wismüller, M. Ali Vosoughi, A. Wismüller, 2020, ArXiv.

Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization

Axel Wismüller, Thomas Schlossbauer, Andrzej Król, 2011, MLMI.

Investigating a quantitative radiomics approach for brain tumor classification

Axel Wismüller, Anas Z. Abidin, Adora M. D'Souza, 2019, Medical Imaging.

Investigating the use of mutual information and non-metric clustering for functional connectivity analysis on resting-state functional MRI

Axel Wismüller, Anas Z. Abidin, Mahesh B. Nagarajan, 2015, Medical Imaging.

A multivoxel pattern analysis framework with mutual connectivity analysis investigating changes in resting state connectivity in patients with HIV associated neurocognitve disorder.

Axel Wismüller, Adora M. DSouza, Giovanni Schifitto, 2019, Magnetic resonance imaging.

Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data

Axel Wismüller, Michael Biehl, Barbara Hammer, 2010, Neurocomputing.

A computational framework for exploratory data analysis

Axel Wismüller, 2009, ESANN.

Segmentation and classification of dynamic breast magnetic resonance image data

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

Large-Scale Extended Granger Causality for Classification of Marijuana Users From Functional MRI pdf

Axel Wismüller, M. Ali Vosoughi, 2021, ArXiv.

Analysis of dynamic perfusion MRI data by neural networks

Axel Wismüller, Dominik R. Dersch, Klaus Hahn, 2001, ESANN.

Characterizing healthy and osteoarthritic knee cartilage on phase contrast CT with geometric texture features

Axel Wismüller, Paola Coan, Mahesh B. Nagarajan, 2013, Medical Imaging.

High-Precision Computer-Assisted Segmentation of Multispectral MRI Data Sets in Patients with Multiple Sclerosis by a Flexible Machine Learning Image Analysis Approach

Axel Wismüller, Klaus Hahn, Maximilian Reiser, 2003, Bildverarbeitung für die Medizin.

Texture feature ranking with relevance learning to classify interstitial lung disease patterns

Axel Wismüller, Michael Biehl, Kerstin Bunte, 2012, Artif. Intell. Medicine.

Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis

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

3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning

Christopher Joseph Pal, Axel Wismüller, David Rim, 2013, Machine Vision and Applications.

Prediction of biomechanical trabecular bone properties with geometric features using MR imaging

Axel Wismüller, Mahesh B. Nagarajan, Markus B. Huber, 2010, Medical Imaging.

Computer-Aided Diagnosis for Phase-Contrast X-ray Computed Tomography: Quantitative Characterization of Human Patellar Cartilage with High-Dimensional Geometric Features

Axel Wismüller, Paul C. Diemoz, Paola Coan, 2014, Journal of Digital Imaging.

Medical image compression using topology-preserving neural networks

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

A Hyperbolic Topographic Mapping for Proximity Data

Helge J. Ritter, Axel Wismüller, Tim W. Nattkemper, 2005, Artificial Intelligence and Applications.

Model-free functional MRI analysis for detecting low-frequency functional connectivity in the human brain

Axel Wismüller, Dorothee Auer, Oliver Lange, 2010, Medical Imaging.

Identification and functional characterization of HIV-associated neurocognitive disorders with large-scale Granger causality analysis on resting-state functional MRI

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2018, Medical Imaging.

Computer-Aided Diagnosis in Phase Contrast Imaging X-Ray Computed Tomography for Quantitative Characterization of ex vivo Human Patellar Cartilage

Axel Wismüller, Paul C. Diemoz, Paola Coan, 2013, IEEE Transactions on Biomedical Engineering.

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.

Investigating large-scale Granger causality analysis in presence of noise and varying sampling rate

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2018, Medical Imaging.

Nonlinear functional connectivity network recovery in the human brain with mutual connectivity analysis (MCA): convergent cross-mapping and non-metric clustering

Axel Wismüller, Anas Z. Abidin, Mahesh B. Nagarajan, 2015, Medical Imaging.

Using anisotropic 3D Minkowski functionals for trabecular bone characterization and biomechanical strength prediction in proximal femur specimens

Axel Wismüller, Felix Eckstein, Mahesh B. Nagarajan, 2014, Medical Imaging.

Tumour feature analysis with unsupervised machine learning

Axel Wismüller, Tim Wilhelm Nattkemper, 2005 .

A Framework for Exploring Non-Linear Functional Connectivity and Causality in the Human Brain: Mutual Connectivity Analysis (MCA) of Resting-State Functional MRI with Convergent Cross-Mapping and Non-Metric Clustering pdf

Axel Wismüller, Adora M. DSouza, Mahesh B. Nagarajan, 2014, ArXiv.

Classification of small lesions in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement

Axel Wismüller, Thomas Schlossbauer, Andrzej Król, 2012, Machine Vision and Applications.

Fully automated biomedical image segmentation by self-organized model adaptation

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

Characterizing trabecular bone structure for assessing vertebral fracture risk on volumetric quantitative computed tomography

Thomas Baum, Axel Wismüller, Jan S. Bauer, 2015, Medical Imaging.

Pair-wise clustering of large scale Granger causality index matrices for revealing communities

Axel Wismüller, Herbert Witte, Lutz Leistritz, 2014, Medical Imaging.

Investigating the use of texture features for analysis of breast lesions on contrast-enhanced cone beam CT

Axel Wismüller, Ruola Ning, Mahesh B. Nagarajan, 2014, Medical Imaging.

Identifying HIV associated neurocognitive disorder using large-scale Granger causality analysis on resting-state functional MRI

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2017, Medical Imaging.

A neural network approach to adaptive pattern analysis - the deformable feature map

Helge J. Ritter, Axel Wismüller, Dominik R. Dersch, 2000, ESANN.

Neural Network Analysis of Dynamic Contrast-Enhanced MRI Mammography

Axel Wismüller, Dominik R. Dersch, Klaus Hahn, 2001, ICANN.

Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization

Thomas Villmann, Axel Wismüller, Michael Biehl, 2010, ESANN.

Neural network analysis of functional MRI time-series. Hierarchical clustering by deterministic annealing

Axel Wismüller, Dominik R. Dersch, Bernadette Lipinski, 1998, Bildverarbeitung für die Medizin.

Lesion classification on breast MRI through topological characterization of morphology over time

Axel Wismüller, Lawrence A. Ray, Thomas Schlossbauer, 2011, Medical Imaging.

Functional connectivity analysis in resting state fMRI with echo-state networks and non-metric clustering for network structure recovery

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2015, Medical Imaging.

Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments

Axel Wismüller, M. Ali Vosoughi, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Network connectivity analysis in complex systems using large-scale non-linear Granger causality (lsNGC)

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2021 .

Alteration of brain network topology in HIV-associated neurocognitive disorder: A novel functional connectivity perspective

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2017, NeuroImage: Clinical.

Visualisation of Breast Tumour DCE-MRI Data using LLE

Axel Wismüller, Claudio Varini, Andreas Degenhard, 2004 .

Exploring connectivity with large-scale Granger causality on resting-state functional MRI

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, 2017, Journal of Neuroscience Methods.

BMC Neurology BioMed Central

Axel Wismüller, Dorothee P Auer, Florian Holsboer, 2006 .

Exploration-Organized Morphogenesis (XOM): A general framework for learning by self-organization

Axel Wismüller, 2001 .