A. Wismüller

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

[Cardiac arrest following blunt chest injury. Emergency thoracotomy without ifs or buts?].

W. Mutschler, A. Wismüller, C. Kirchhoff, 2007, Der Unfallchirurg.

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.

Quantitative comparison of automatic and interactive methods for MRI-SPECT image registration of the brain based on 3-dimensional calculation of error.

C Vollmar, K. Hahn, A. Wismüller, 2000, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

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

Adora M. DSouza, A. Abidin, A. Wismüller, 2021, Scientific Reports.

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

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

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.

Medical image compression using topology-preserving neural networks

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

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

Mahesh B. Nagarajan, A. Wismüller, M. Huber, 2015, Medical & Biological Engineering & Computing.

Theory and applications of neural maps

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

Assessing vertebral fracture risk on volumetric quantitative computed tomography by geometric characterization of trabecular bone structure

Thomas Baum, Axel Wismüller, Jan S. Bauer, 2016, SPIE 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.

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.

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.

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.

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.

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.

Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology

Axel Wismüller, Thomas Schlossbauer, Andrzej Król, 2014, Artif. Intell. Medicine.

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.

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.

Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization

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

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

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

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.

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

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

Model-free functional MRI analysis based on unsupervised clustering

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

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.

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.

Neighbor embedding XOM for dimension reduction and visualization

Thomas Villmann, Axel Wismüller, Michael Biehl, 2011, Neurocomputing.

Investigating changes in brain network properties in HIV-associated neurocognitive disease (HAND) using mutual connectivity analysis (MCA)

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

Resilient modular small-world directed brain networks in healthy subjects with large-scale Granger causality analysis of resting-state functional MRI

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

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.

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.

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.

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.

Tumor feature visualization with unsupervised learning

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

Investigating a quantitative radiomics approach for brain tumor classification

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

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.

Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data

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

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.

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.

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.

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

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

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.

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

Mahesh B. Nagarajan, A. Król, A. Wismüller, 2013, Machine Vision and Applications.

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

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

Attention-deficit/hyperactivity disorder prediction using graph convolutional networks

Axel Wismüller, John J. Foxe, Seyed Saman Saboksayr, 2020, Medical Imaging.

Large-scale Extended Granger Causality (lsXGC) for classification of Autism Spectrum Disorder from resting-state functional MRI

Axel Wismüller, John J. Foxe, Seyed Saman Saboksayr, 2020, Medical Imaging.

A prospective randomized clinical trial for measuring radiology study reporting time on Artificial Intelligence-based detection of intracranial hemorrhage in emergent care head CT

Axel Wismüller, Larry Stockmaster, A. Wismüller, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

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

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

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.

Investigating directed functional connectivity between the resting state networks of the human brain using mutual connectivity analysis

Axel Wismüller, Udaysankar Chockanathan, Giovanni Schifitto, 2018, Medical Imaging.

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.

Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta

Axel Wismüller, John Jameson, Anas Z. Abidin, 2017, 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.

Investigating changes in resting-state connectivity from functional MRI data in patients with HIV associated neurocognitive disorder using MCA and machine learning

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

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

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

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.

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

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

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

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

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.

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.

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.

Phase contrast imaging X-ray computed tomography: quantitative characterization of human patellar cartilage matrix with topological and geometrical features

Axel Wismüller, Paola Coan, Mahesh B. Nagarajan, 2014, Medical Imaging.

Segmentation and classification of dynamic breast magnetic resonance image data

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

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.

The Exploration Machine - A Novel Method for Data Visualization

Axel Wismüller, A. Wismüller, 2009, WSOM.

A Hyperbolic Topographic Mapping for Proximity Data

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

Cluster Analysis of Biomedical Image Time-Series

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

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.

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.

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

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

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

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

Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning

Michel Verleysen, Axel Wismüller, John Aldo Lee, 2010, ESANN.

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.

Classification of schizophrenia from functional MRI using large-scale extended Granger causality

Axel Wismuller, M. Ali Vosoughi, A. Wismüller, 2021, Medical Imaging.