Axel Wismüller
According to our database1,
Axel Wismüller
authored at least 120 papers
between 1998 and 2024.
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Bibliography
2024
Enhancing Graph Attention Neural Network Performance for Marijuana Consumption Classification through Large-scale Augmented Granger Causality (lsAGC) Analysis of Functional MR Images.
CoRR, 2024
2023
Classification of schizophrenia using large-scale kernelized Granger causality (lsKGC) and functional MR imaging.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Cross modal global local representation learning from radiology reports and x-ray chest images.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Large-Scale Granger Causality (lsGC) for classification of schizophrenia using functional MRI.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
Large-scale Augmented Granger Causality (lsAGC) for discovery of causal brain connectivity networks in schizophrenia patients using functional MRI neuroimaging.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
Identification of schizophrenia patients using large-scale Extended Granger Causality (lsXGC) in functional MR imaging.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
Tracking the impact of global iodinated contrast agent shortage on radiology: analysis of CT exam volumes at a major US healthcare.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
2022
Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting.
npj Digit. Medicine, 2022
Re-defining Radiology Quality Assurance (QA) - Artificial Intelligence (AI)-Based QA by Restricted Investigation of Unequal Scores (AQUARIUS).
CoRR, 2022
Exploring directed network connectivity in complex systems using large-scale augmented Granger causality (lsAGC).
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Inferring functional relations from synthetic fMRI data using large-scale Nonlinear Granger Causality (lsNGC).
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Large-scale Kernelized Granger Causality (lsKGC) for inferring topology of directed graphs in brain networks.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Classification of schizophrenia from functional MRI using large-scale extended Granger causality.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Large-scale augmented Granger causality (lsAGC) for connectivity analysis in complex systems: from computer simulations to functional MRI (fMRI).
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Investigating Covid-19 pandemic-induced effects on detection of emergent clinical imaging findings by large-scale tracking of utilization and reading results for AI-based image analysis services.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Network connectivity analysis in complex systems using large-scale non-linear Granger causality (lsNGC).
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Large-scale extended Granger causality for classification of marijuana users from functional MRI.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments.
Proceedings of the 29th European Signal Processing Conference, 2021
2020
Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks.
CoRR, 2020
Tracking Results and Utilization of Artificial Intelligence (tru-AI) in Radiology: Early-Stage COVID-19 Pandemic Observations.
CoRR, 2020
Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data.
CoRR, 2020
Introducing Anisotropic Minkowski Functionals and Quantitative Anisotropy Measures for Local Structure Analysis in Biomedical Imaging.
CoRR, 2020
Large-scale Extended Granger Causality (lsXGC) for classification of Autism Spectrum Disorder from resting-state functional MRI.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Attention-deficit/hyperactivity disorder prediction using graph convolutional networks.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
A prospective randomized clinical trial for measuring radiology study reporting time on Artificial Intelligence-based detection of intracranial hemorrhage in emergent care head CT.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Classification of attention-deficit/hyperactivity disorder from resting-state functional MRI with mutual connectivity analysis.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
2019
Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI.
Comput. Biol. Medicine, 2019
Detecting connectivity changes in autism spectrum disorder using large-scale Granger causality.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Automated identification of thoracic pathology from chest radiographs with enhanced training pipeline.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Classification of autism spectrum disorder from resting-state fMRI with mutual connectivity analysis.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
2018
NeuroImage, 2018
Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage.
Comput. Biol. Medicine, 2018
Regional autonomy changes in resting-state functional MRI in patients with HIV associated neurocognitive disorder.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Identification and functional characterization of HIV-associated neurocognitive disorders with large-scale Granger causality analysis on resting-state functional MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Investigating large-scale Granger causality analysis in presence of noise and varying sampling rate.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Resilient modular small-world directed brain networks in healthy subjects with large-scale Granger causality analysis of resting-state functional MRI.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Investigating directed functional connectivity between the resting state networks of the human brain using mutual connectivity analysis.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
2017
Identifying HIV associated neurocognitive disorder using large-scale Granger causality analysis on resting-state functional MRI.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Investigating changes in resting-state connectivity from functional MRI data in patients with HIV associated neurocognitive disorder using MCA and machine learning.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
Using large-scale Granger causality to study changes in brain network properties in the Clinically Isolated Syndrome (CIS) stage of multiple sclerosis.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
2016
Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Assessing vertebral fracture risk on volumetric quantitative computed tomography by geometric characterization of trabecular bone structure.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Mutual connectivity analysis (MCA) using generalized radial basis function neural networks for nonlinear functional connectivity network recovery in resting-state functional MRI.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Investigating changes in brain network properties in HIV-associated neurocognitive disease (HAND) using mutual connectivity analysis (MCA).
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Detecting altered connectivity patterns in HIV associated neurocognitive impairment using mutual connectivity analysis.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
2015
Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography.
Medical Biol. Eng. Comput., 2015
Functional connectivity analysis in resting state fMRI with echo-state networks and non-metric clustering for network structure recovery.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Nonlinear functional connectivity network recovery in the human brain with mutual connectivity analysis (MCA): convergent cross-mapping and non-metric clustering.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Investigating the use of mutual information and non-metric clustering for functional connectivity analysis on resting-state functional MRI.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Characterizing trabecular bone structure for assessing vertebral fracture risk on volumetric quantitative computed tomography.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Volumetric characterization of human patellar cartilage matrix on phase contrast x-ray computed tomography.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Identification of whole-brain network modules based on a large scale Granger Causality approach.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning.
Mach. Vis. Appl., 2014
Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression.
J. Electronic Imaging, 2014
Computer-Aided Diagnosis for Phase-Contrast X-ray Computed Tomography: Quantitative Characterization of Human Patellar Cartilage with High-Dimensional Geometric Features.
J. Digit. Imaging, 2014
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.
CoRR, 2014
Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology.
Artif. Intell. Medicine, 2014
Impact of multivariate granger causality analyses with embedded dimension reduction on network modules.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Computer-Aided Diagnosis in Phase Contrast Imaging X-Ray Computed Tomography for Quantitative Characterization of ex vivo Human Patellar Cartilage.
IEEE Trans. Biomed. Eng., 2013
Classification of small lesions in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement.
Mach. Vis. Appl., 2013
2012
Texture feature ranking with relevance learning to classify interstitial lung disease patterns.
Artif. Intell. Medicine, 2012
Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
2011
Prediction of Biomechanical Properties of Trabecular Bone in MR Images With Geometric Features and Support Vector Regression.
IEEE Trans. Biomed. Eng., 2011
Neurocomputing, 2011
Computational intelligence in biomedical imaging: multidimensional analysis of spatio-temporal patterns.
Comput. Sci. Res. Dev., 2011
A Computational Framework for Nonlinear Dimensionality Reduction of Large Data Sets: The Exploratory Inspection Machine (XIM)
CoRR, 2011
Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Lesion classification on breast MRI through topological characterization of morphology over time.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Estimating local scaling properties for the classification of interstitial lung disease patterns.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Texture feature selection with relevance learning to classify interstitial lung disease patterns.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2010
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data.
Neurocomputing, 2010
Model-free functional MRI analysis for detecting low-frequency functional connectivity in the human brain.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010
Analysis of breast lesions on contrast-enhanced magnetic resonance images using high-dimensional texture features.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010
Classification of interstitial lung disease patterns with topological texture features.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010
Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
2009
Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI.
Int. J. Biomed. Imaging, 2009
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009
The exploration machine: a novel method for analyzing high-dimensional data in computer-aided diagnosis.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
The Exploration Machine - a novel method for structure-preserving dimensionality reduction.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
2008
Human Vocal Tract Analysis by in Vivo 3D MRI during Phonation: A Complete System for Imaging, Quantitative Modeling, and Speech Synthesis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 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
2007
Analysis of Dynamic Susceptibility Contrast MRI Time Series Based on Unsupervised Clustering Methods.
IEEE Trans. Inf. Technol. Biomed., 2007
Biomed. Signal Process. Control., 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, San Diego, 2007
2006
IEEE Trans. Medical Imaging, 2006
J. Electronic Imaging, 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
2005
Eng. Appl. Artif. Intell., 2005
An Adaptive Extended Colour Scale for Comparison of Pseudo Colouring Techniques for DCE-MRI Data.
Proceedings of the Bildverarbeitung für die Medizin 2005, Algorithmen - Systeme, 2005
A Hyperbolic Topographic Mapping for Proximity Data.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005
2004
Comparison of two exploratory data analysis methods for fMRI: unsupervised clustering versus independent component analysis.
IEEE Trans. Inf. Technol. Biomed., 2004
Neural Networks, 2004
J. Biomed. Informatics, 2004
Int. J. Neural Syst., 2004
Local exponential stability of competitive neural networks with different time scales.
Eng. Appl. Artif. Intell., 2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
High-Precision Computer-Assisted Segmentation of Multispectral MRI Data Sets in Patients with Multiple Sclerosis by a Flexible Machine Learning Image Analysis Approach.
Proceedings of the Bildverarbeitung für die Medizin 2003, Algorithmen - Systeme, 2003
Proceedings of the Bildverarbeitung für die Medizin 2003, Algorithmen - Systeme, 2003
2002
The deformable feature map - a novel neurocomputing algorithm for adaptive plasticity in pattern analysis.
Neurocomputing, 2002
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002
2001
Proceedings of the Artificial Neural Networks, 2001
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001
2000
Proceedings of the Medical Data Analysis, First International Symposium, 2000
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000
Elastic Distortion of Deformable Feature Maps for Fully-Automatic Segmentation of Multispectral MRI Data Sets of the Human Brain.
Proceedings of the Bildverarbeitung für die Medizin 2000: Algorithmen, 2000
1998
Neural network analysis of functional MRI time-series. Hierarchical clustering by deterministic annealing.
Proceedings of the Bildverarbeitung für die Medizin: Algorithmen, 1998