Neural network analysis of functional MRI time-series. Hierarchical clustering by deterministic annealing. - Axel Wismüller; Dominik R. Dersch; Bernadette Lipinski; Klaus Hahn; Dorothee Auer (Bildverarbeitung für die Medizin, 1998)

Elastic Distortion of Deformable Feature Maps for Fully-Automatic Segmentation of Multispectral MRI Data Sets of the Human Brain. - Axel Wismüller; Frank Vietze; Dominik R. Dersch; Gerda L. Leinsinger; Johannes Behrends; Helge J. Ritter; Klaus Hahn (Bildverarbeitung für die Medizin, 2000)

A neural network approach to adaptive pattern analysis - the deformable feature map. - Axel Wismüller; Frank Vietze; Dominik R. Dersch; Klaus Hahn; Helge J. Ritter (ESANN, 2000)

Hierarchical Clustering of Functional MRI Time-Series by Deterministic Annealing. - Axel Wismüller; Dominik R. Dersch; Bernadette Lipinski; Klaus Hahn; Dorothee Auer (ISMDA, 2000)

Analysis of dynamic perfusion MRI data by neural networks. - Axel Wismüller; Oliver Lange; Dominik R. Dersch; Klaus Hahn; Gerda L. Leinsinger (ESANN, 2001)

Neural Network Analysis of Dynamic Contrast-Enhanced MRI Mammography. - Axel Wismüller; Oliver Lange; Dominik R. Dersch; Klaus Hahn; Gerda L. Leinsinger (ICANN, 2001)

Exploratory Data Analysis in Medicine and Bioinformatics. - Axel Wismüller; Thomas Villmann (ESANN, 2002)

Cluster Analysis of Biomedical Image Time-Series. - Axel Wismüller; Oliver Lange; Dominik R. Dersch; Gerda L. Leinsinger; Klaus Hahn; Benno Pütz; Dorothee Auer (Int. J. Comput. Vis., 2002)

The deformable feature map - a novel neurocomputing algorithm for adaptive plasticity in pattern analysis. - Axel Wismüller; Frank Vietze; Dominik R. Dersch; Johannes Behrends; Klaus Hahn; Helge J. Ritter (Neurocomputing, 2002)

A Segmentation and Analysis Method for MRI Data of the Human Vocal Tract. - Johannes Behrends; Phil Hoole; Gerda L. Leinsinger; Hans G. Tillmann; Klaus Hahn; Maximilian F. Reiser; Axel Wismüller (Bildverarbeitung für die Medizin, 2003)

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; Johannes Behrends; Oliver Lange; Miriana Jukic; Klaus Hahn; Maximilian F. Reiser; Dorothee Auer (Bildverarbeitung für die Medizin, 2003)

Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis. - Anke Meyer-Bäse; Thomas D. Otto; Thomas Martinetz; Dorothee Auer; Axel Wismüller (ESANN, 2003)

Digital Image Processing with Neural Networks. - Axel Wismüller; Udo Seiffert (ESANN, 2003)

Topographic independent component analysis for fMRI signal detection. - Anke Meyer-Bäse; Dorothee Auer; Axel Wismüller (IJCNN, 2003)

Theory and applications of neural maps. - Thomas Villmann; Udo Seiffert; Axel Wismüller (ESANN, 2004)

Stability analysis of a self-organizing neural network with feedforward and feedback dynamics. - Anke Meyer-Bäse; Sergei S. Pilyugin; Axel Wismüller (IJCNN, 2004)

Clustering of dependent components: a new paradigm for fMRI signal detection. - Anke Meyer-Bäse; Fabian J. Theis; Oliver Lange; Axel Wismüller (IJCNN, 2004)

Breast MRI data analysis by LLE. - Claudio Varini; Tim W. Nattkemper; Andreas Degenhard; Axel Wismüller (IJCNN, 2004)

Local exponential stability of competitive neural networks with different time scales. - Anke Meyer-Bäse; Sergei S. Pilyugin; Axel Wismüller; Simon Foo 001 (Eng. Appl. Artif. Intell., 2004)

Model-free functional mri analysis using topographic independent component analysis. - Anke Meyer-Bäse; Oliver Lange; Axel Wismüller; Helge J. Ritter (Int. J. Neural Syst., 2004)

Model-free functional MRI analysis based on unsupervised clustering. - Axel Wismüller; Anke Meyer-Bäse; Oliver Lange; Dorothee Auer; Maximilian F. Reiser; DeWitt Sumners (J. Biomed. Informatics, 2004)

Fully automated biomedical image segmentation by self-organized model adaptation. - Axel Wismüller; Frank Vietze; Johannes Behrends; Anke Meyer-Bäse; Maximilian F. Reiser; Helge J. Ritter (Neural Networks, 2004)

Comparison of two exploratory data analysis methods for fMRI: unsupervised clustering versus independent component analysis. - Anke Meyer-Bäse; Axel Wismüller; Oliver Lange (IEEE Trans. Inf. Technol. Biomed., 2004)

A Hyperbolic Topographic Mapping for Proximity Data. - Axel Saalbach; Thorsten Twellmann; Tim W. Nattkemper; Axel Wismüller; Jörg Ontrup; Helge J. Ritter (Artificial Intelligence and Applications, 2005)

An Adaptive Extended Colour Scale for Comparison of Pseudo Colouring Techniques for DCE-MRI Data. - Thorsten Twellmann; Oliver Lichte; Axel Saalbach; Axel Wismüller; Tim W. Nattkemper (Bildverarbeitung für die Medizin, 2005)

Exploratory data analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series. - Oliver Lange; Anke Meyer-Baese; Axel Wismüller (IJCNN, 2005)

Medical image compression using topology-preserving neural networks. - Anke Meyer-Bäse; Karsten Jancke; Axel Wismüller; Simon Foo 001; Thomas Martinetz (Eng. Appl. Artif. Intell., 2005)

Tumor feature visualization with unsupervised learning. - Tim W. Nattkemper; Axel Wismüller (Medical Image Anal., 2005)

A flexible machine learning image analysis system for high-precision computer-assisted segmentation of multispectral MRI data sets in patients with multiple sclerosis. - Axel Wismüller; Anke Meyer-Bäse; Johannes Behrends; Oliver Lange; Miriana Jukic; Maximilian F. Reiser; Dorothee Auer (ISBI, 2006)

Segmentation and classification of dynamic breast magnetic resonance image data. - Axel Wismüller; Anke Meyer-Bäse; Oliver Lange; Thomas Schlossbauer; Maria Kallergi; Maximilian F. Reiser; Gerda L. Leinsinger (J. Electronic Imaging, 2006)

Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series. - Axel Wismüller; Anke Meyer-Bäse; Oliver Lange; Maximilian F. Reiser; Gerda L. Leinsinger (IEEE Trans. Medical Imaging, 2006)

Neural network vector quantization improves the diagnostic quality of computer-aided diagnosis in dynamic breast MRI. - Axel Wismüller; Anke Meyer-Baese; Gerda L. Leinsinger; Oliver Lange; Thomas Schlossbauer; Maximilian F. Reiser (Computer-Aided Diagnosis, 2007)

Unsupervised clustering of fMRI and MRI time series. - Anke Meyer-Bäse; Axel Saalbach; Oliver Lange; Axel Wismüller (Biomed. Signal Process. Control., 2007)

Analysis of Dynamic Susceptibility Contrast MRI Time Series Based on Unsupervised Clustering Methods. - Anke Meyer-Bäse; Oliver Lange; Axel Wismüller; Monica K. Hurdal (IEEE Trans. Inf. Technol. Biomed., 2007)

Computer-aided diagnosis and visualization based on clustering and independent component analysis for breast MRI. - Anke Meyer-Bäse; Oliver Lange; Thomas Schlossbauer; Axel Wismüller (ICIP, 2008)

Human Vocal Tract Analysis by in Vivo 3D MRI during Phonation: A Complete System for Imaging, Quantitative Modeling, and Speech Synthesis. - Axel Wismüller; Johannes Behrends; Phil Hoole; Gerda L. Leinsinger; Maximilian F. Reiser; Per-Lennart Westesson (MICCAI (2), 2008)

The Exploration Machine - a novel method for structure-preserving dimensionality reduction. - Axel Wismüller (ESANN, 2009)

A computational framework for exploratory data analysis. - Axel Wismüller (ESANN, 2009)

The exploration machine: a novel method for analyzing high-dimensional data in computer-aided diagnosis. - Axel Wismüller (Computer-Aided Diagnosis, 2009)

A Computational Framework for Nonlinear Dimensionality Reduction and Clustering. - Axel Wismüller (WSOM, 2009)

The Exploration Machine - A Novel Method for Data Visualization. - Axel Wismüller (WSOM, 2009)

Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI. - Anke Meyer-Bäse; Thomas Schlossbauer; Oliver Lange; Axel Wismüller (Int. J. Biomed. Imaging, 2009)

Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization. - Kerstin Bunte; Barbara Hammer; Thomas Villmann; Michael Biehl; Axel Wismüller (ESANN, 2010)

Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. - Axel Wismüller; Michel Verleysen; Michaël Aupetit 001; John Aldo Lee (ESANN, 2010)

Classification of interstitial lung disease patterns with topological texture features. - Markus B. Huber; Mahesh Nagarajan; Gerda L. Leinsinger; Lawrence A. Ray; Axel Wismüller (Computer-Aided Diagnosis, 2010)

Analysis of breast lesions on contrast-enhanced magnetic resonance images using high-dimensional texture features. - Mahesh B. Nagarajan; Markus B. Huber; Thomas Schlossbauer; Gerda L. Leinsinger; Axel Wismüller (Computer-Aided Diagnosis, 2010)

Model-free functional MRI analysis for detecting low-frequency functional connectivity in the human brain. - Axel Wismüller; Oliver Lange; Dorothee Auer; Gerda L. Leinsinger (Computer-Aided Diagnosis, 2010)

Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data. - Kerstin Bunte; Barbara Hammer; Axel Wismüller; Michael Biehl (Neurocomputing, 2010)

Texture feature selection with relevance learning to classify interstitial lung disease patterns. - Markus B. Huber; Kerstin Bunte; Mahesh B. Nagarajan; Michael Biehl; Lawrence A. Ray; Axel Wismüller (Computer-Aided Diagnosis, 2011)

Estimating local scaling properties for the classification of interstitial lung disease patterns. - Markus B. Huber; Mahesh B. Nagarajan; Gerda L. Leinsinger; Lawrence A. Ray; Axel Wismüller (Computer-Aided Diagnosis, 2011)

Lesion classification on breast MRI through topological characterization of morphology over time. - Mahesh B. Nagarajan; Markus B. Huber; Thomas Schlossbauer; Lawrence A. Ray; Andrzej Król; Axel Wismüller (Computer-Aided Diagnosis, 2011)

Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization. - Mahesh B. Nagarajan; Markus B. Huber; Thomas Schlossbauer; Gerda L. Leinsinger; Andrzej Król; Axel Wismüller (MLMI, 2011)

A Computational Framework for Nonlinear Dimensionality Reduction of Large Data Sets: The Exploratory Inspection Machine (XIM) - Axel Wismüller (CoRR, 2011)

Computational intelligence in biomedical imaging: multidimensional analysis of spatio-temporal patterns. - Axel Wismüller (Comput. Sci. Res. Dev., 2011)

Neighbor embedding XOM for dimension reduction and visualization. - Kerstin Bunte; Barbara Hammer; Thomas Villmann; Michael Biehl; Axel Wismüller (Neurocomputing, 2011)

Prediction of Biomechanical Properties of Trabecular Bone in MR Images With Geometric Features and Support Vector Regression. - Markus B. Huber; Sarah L. Lancianese; Mahesh B. Nagarajan; Imoh Z. Ikpot; Amy L. Lerner; Axel Wismüller (IEEE Trans. Biomed. Eng., 2011)

Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression. - Markus B. Huber; Chien-Chun Yang; Julio Carballido-Gamio; Jan S. Bauer; Thomas Baum; Mahesh B. Nagarajan; Felix Eckstein; Eva Lochmüller; Sharmila Majumdar; Thomas M. Link; Axel Wismüller (Computer-Aided Diagnosis, 2012)

Texture feature ranking with relevance learning to classify interstitial lung disease patterns. - Markus B. Huber; Kerstin Bunte; Mahesh B. Nagarajan; Michael Biehl; Lawrence A. Ray; Axel Wismüller (Artif. Intell. Medicine, 2012)

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; Markus B. Huber; Thomas Schlossbauer; Gerda L. Leinsinger; Andrzej Król; Axel Wismüller (Mach. Vis. Appl., 2013)

Computer-Aided Diagnosis in Phase Contrast Imaging X-Ray Computed Tomography for Quantitative Characterization of ex vivo Human Patellar Cartilage. - Mahesh B. Nagarajan; Paola Coan; Markus B. Huber; Paul C. Diemoz; Christian Glaser; Axel Wismüller (IEEE Trans. Biomed. Eng., 2013)

Impact of multivariate granger causality analyses with embedded dimension reduction on network modules. - Christoph Schmidt 003; Britta Pester; Mahesh Nagarajan; Herbert Witte; Lutz Leistritz; Axel Wismüller (EMBC, 2014)

Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology. - Mahesh B. Nagarajan; Markus B. Huber; Thomas Schlossbauer; Gerda L. Leinsinger; Andrzej Król; Axel Wismüller (Artif. Intell. Medicine, 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. - Axel Wismüller; Xixi Wang; Adora M. DSouza; Mahesh B. Nagarajan (CoRR, 2014)

Computer-Aided Diagnosis for Phase-Contrast X-ray Computed Tomography: Quantitative Characterization of Human Patellar Cartilage with High-Dimensional Geometric Features. - Mahesh B. Nagarajan; Paola Coan; Markus B. Huber; Paul C. Diemoz; Christian Glaser; Axel Wismüller (J. Digit. Imaging, 2014)

Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression. - Chien-Chun Yang; Mahesh B. Nagarajan; Markus B. Huber; Julio Carballido-Gamio; Jan S. Bauer; Thomas Baum; Felix Eckstein; Eva Lochmüller; Sharmila Majumdar; Thomas M. Link; Axel Wismüller (J. Electronic Imaging, 2014)

3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning. - Chetan Bhole; Christopher J. Pal; David Rim; Axel Wismüller (Mach. Vis. Appl., 2014)

Identification of whole-brain network modules based on a large scale Granger Causality approach. - Britta Pester; Christoph Schmidt 003; Nicole Schmid-Hertel; Herbert Witte; Axel Wismüller; Lutz Leistritz (EMBC, 2015)

Volumetric characterization of human patellar cartilage matrix on phase contrast x-ray computed tomography. - Anas Z. Abidin; Mahesh B. Nagarajan; Walter A. Checefsky; Paola Coan; Paul C. Diemoz; Susan K. Hobbs; Markus B. Huber; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Characterizing trabecular bone structure for assessing vertebral fracture risk on volumetric quantitative computed tomography. - Mahesh B. Nagarajan; Walter A. Checefsky; Anas Z. Abidin; Halley Tsai; Xixi Wang; Susan K. Hobbs; Jan S. Bauer; Thomas Baum; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Investigating the use of mutual information and non-metric clustering for functional connectivity analysis on resting-state functional MRI. - Xixi Wang; Mahesh B. Nagarajan; Anas Z. Abidin; Adora M. D'Souza; Susan K. Hobbs; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

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; Adora M. D'Souza; Xixi Wang; Susan K. Hobbs; Lutz Leistritz; Mahesh B. Nagarajan (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Functional connectivity analysis in resting state fMRI with echo-state networks and non-metric clustering for network structure recovery. - Axel Wismüller; Adora M. DSouza; Anas Z. Abidin; Xixi Wang; Susan K. Hobbs; Mahesh B. Nagarajan (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography. - Mahesh B. Nagarajan; Paola Coan; Markus B. Huber; Paul C. Diemoz; Axel Wismüller (Medical Biol. Eng. Comput., 2015)

Detecting altered connectivity patterns in HIV associated neurocognitive impairment using mutual connectivity analysis. - Anas Zainul Abidin; Adora M. D'Souza; Mahesh B. Nagarajan; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Investigating changes in brain network properties in HIV-associated neurocognitive disease (HAND) using mutual connectivity analysis (MCA). - Anas Zainul Abidin; Adora M. D'Souza; Mahesh B. Nagarajan; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Large-scale Granger causality analysis on resting-state functional MRI. - Adora M. D'Souza; Anas Zainul Abidin; Lutz Leistritz; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Mutual connectivity analysis (MCA) using generalized radial basis function neural networks for nonlinear functional connectivity network recovery in resting-state functional MRI. - Adora M. D'Souza; Anas Zainul Abidin; Mahesh B. Nagarajan; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Assessing vertebral fracture risk on volumetric quantitative computed tomography by geometric characterization of trabecular bone structure. - Walter A. Checefsky; Anas Z. Abidin; Mahesh B. Nagarajan; Jan S. Bauer; Thomas Baum; Axel Wismüller (Computer-Aided Diagnosis, 2016)

Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering. - Axel Wismüller; Anas Z. Abidin; Adora M. DSouza; Mahesh B. Nagarajan (WSOM, 2016)

Using large-scale Granger causality to study changes in brain network properties in the Clinically Isolated Syndrome (CIS) stage of multiple sclerosis. - Anas Z. Abidin; Udaysankar Chockanathan; Adora M. DSouza; Matilde Inglese; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Investigating changes in resting-state connectivity from functional MRI data in patients with HIV associated neurocognitive disorder using MCA and machine learning. - Adora M. DSouza; Anas Z. Abidin; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta. - Anas Z. Abidin; John Jameson; Robert Molthen; Axel Wismüller (Computer-Aided Diagnosis, 2017)

Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks. - Botao Deng; Anas Z. Abidin; Adora M. D'Souza; Mahesh B. Nagarajan; Paola Coan; Axel Wismüller (Computer-Aided Diagnosis, 2017)

Identifying HIV associated neurocognitive disorder using large-scale Granger causality analysis on resting-state functional MRI. - Adora M. DSouza; Anas Z. Abidin; Lutz Leistritz; Axel Wismüller (Image Processing, 2017)

Investigating directed functional connectivity between the resting state networks of the human brain using mutual connectivity analysis. - Anas Zainul Abidin; Adora M. D'Souza; Udaysankar Chockanathan; Giovanni Schifitto; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Resilient modular small-world directed brain networks in healthy subjects with large-scale Granger causality analysis of resting-state functional MRI. - Udaysankar Chockanathan; Anas Z. Abidin; Adora M. DSouza; Giovanni Schifitto; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Investigating large-scale Granger causality analysis in presence of noise and varying sampling rate. - Adora M. DSouza; Anas Z. Abidin; Udaysankar Chockanathan; Lutz Leistritz; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Identification and functional characterization of HIV-associated neurocognitive disorders with large-scale Granger causality analysis on resting-state functional MRI. - Udaysankar Chockanathan; Adora M. DSouza; Anas Z. Abidin; Giovanni Schifitto; Axel Wismüller (Computer-Aided Diagnosis, 2018)

MRI tumor segmentation with densely connected 3D CNN. - Lele Chen; Yue Wu; Adora M. DSouza; Anas Z. Abidin; Axel Wismüller; Chenliang Xu (Image Processing, 2018)

Regional autonomy changes in resting-state functional MRI in patients with HIV associated neurocognitive disorder. - Adora M. DSouza; Anas Z. Abidin; Udaysankar Chockanathan; Axel Wismüller (Image Processing, 2018)

Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage. - Anas Z. Abidin; Botao Deng; Adora M. DSouza; Mahesh B. Nagarajan; Paola Coan; Axel Wismüller (Comput. Biol. Medicine, 2018)

Mutual connectivity analysis of resting-state functional MRI data with local models. - Adora M. DSouza; Anas Z. Abidin; Udaysankar Chockanathan; Giovanni Schifitto; Axel Wismüller (NeuroImage, 2018)

Investigating a quantitative radiomics approach for brain tumor classification. - Anas Z. Abidin; Irfaan Dar; Adora M. D'Souza; Edward P. Lin; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Classification of autism spectrum disorder from resting-state fMRI with mutual connectivity analysis. - Adora M. DSouza; Anas Z. Abidin; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Automated identification of thoracic pathology from chest radiographs with enhanced training pipeline. - Adora M. DSouza; Anas Z. Abidin; Axel Wismüller (Computer-Aided Diagnosis, 2019)

Detecting connectivity changes in autism spectrum disorder using large-scale Granger causality. - Anas Z. Abidin; Adora M. DSouza; Axel Wismüller (Image Processing, 2019)

Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI. - Udaysankar Chockanathan; Adora M. DSouza; Anas Z. Abidin; Giovanni Schifitto; Axel Wismüller (Comput. Biol. Medicine, 2019)

Classification of attention-deficit/hyperactivity disorder from resting-state functional MRI with mutual connectivity analysis. - Seyed Saman Saboksayr; Adora M. DSouza; John J. Foxe; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 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. - Axel Wismüller; Larry Stockmaster (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Attention-deficit/hyperactivity disorder prediction using graph convolutional networks. - Seyed Saman Saboksayr; John J. Foxe; Axel Wismüller (Computer-Aided Diagnosis, 2020)

Large-scale Extended Granger Causality (lsXGC) for classification of Autism Spectrum Disorder from resting-state functional MRI. - Axel Wismüller; John J. Foxe; Paul Geha; Seyed Saman Saboksayr (Computer-Aided Diagnosis, 2020)

Introducing Anisotropic Minkowski Functionals and Quantitative Anisotropy Measures for Local Structure Analysis in Biomedical Imaging. - Axel Wismüller; Titas De; Eva Lochmüller; Felix Eckstein; Mahesh B. Nagarajan (CoRR, 2020)

Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data. - Axel Wismüller; Adora M. DSouza; Anas Z. Abidin (CoRR, 2020)

Tracking Results and Utilization of Artificial Intelligence (tru-AI) in Radiology: Early-Stage COVID-19 Pandemic Observations. - Axel Wismüller; Larry Stockmaster (CoRR, 2020)

Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks. - M. Ali Vosoughi; Axel Wismüller (CoRR, 2020)

Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments. - M. Ali Vosoughi; Axel Wismüller (EUSIPCO, 2021)

Large-scale extended Granger causality for classification of marijuana users from functional MRI. - M. Ali Vosoughi; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Network connectivity analysis in complex systems using large-scale non-linear Granger causality (lsNGC). - Axel Wismüller; Adora M. DSouza; M. Ali Vosoughi; Anas Z. Abidin (Biomedical Applications in Molecular, Structural, and Functional Imaging, 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. - Axel Wismüller; Larry Stockmaster; M. Ali Vosoughi (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Large-scale augmented Granger causality (lsAGC) for connectivity analysis in complex systems: from computer simulations to functional MRI (fMRI). - Axel Wismüller; M. Ali Vosoughi (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Classification of schizophrenia from functional MRI using large-scale extended Granger causality. - Axel Wismüller; M. Ali Vosoughi (Computer-Aided Diagnosis, 2021)

Relation Discovery in Nonlinearly Related Large-Scale Settings. - Mohammad Ali Vosoughi; Adora M. DSouza; Anas Z. Abidin; Axel Wismüller (ICASSP, 2022)

Large-scale Kernelized Granger Causality (lsKGC) for inferring topology of directed graphs in brain networks. - M. Ali Vosoughi; Axel Wismüller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data. - Axel Wismüller; M. Ali Vosoughi; Adora M. DSouza; Anas Z. Abidin (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Inferring functional relations from synthetic fMRI data using large-scale Nonlinear Granger Causality (lsNGC). - Axel Wismüller; M. Ali Vosoughi; Adora M. DSouza; Anas Z. Abidin (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Exploring directed network connectivity in complex systems using large-scale augmented Granger causality (lsAGC). - Axel Wismüller; M. Ali Vosoughi; Adora M. DSouza; Anas Z. Abidin (Computer-Aided Diagnosis, 2022)

Re-defining Radiology Quality Assurance (QA) - Artificial Intelligence (AI)-Based QA by Restricted Investigation of Unequal Scores (AQUARIUS). - Axel Wismüller; Larry Stockmaster; M. Ali Vosoughi (CoRR, 2022)

Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting. - Axel Wismüller; Adora M. DSouza; Anas Z. Abidin; M. Ali Vosoughi; Christopher Gange; Isabel O. Cortopassi; Gracijela Bozovic; Alexander A. Bankier; Kiran Batra; Yosef Chodakiewitz; Yin Xi; Christopher T. Whitlow; et al. (npj Digit. Medicine, 2022)

Tracking the impact of global iodinated contrast agent shortage on radiology: analysis of CT exam volumes at a major US healthcare. - Axel Wismüller; Jerome Avondo; Larry Stockmaster; Akhil Kasturi; M. Ali Vosoughi (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Identification of schizophrenia patients using large-scale Extended Granger Causality (lsXGC) in functional MR imaging. - Axel Wismüller; M. Ali Vosoughi; Akhil Kasturi; Nathan Hadjiyski (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Large-scale Augmented Granger Causality (lsAGC) for discovery of causal brain connectivity networks in schizophrenia patients using functional MRI neuroimaging. - Axel Wismüller; M. Ali Vosoughi; Akhil Kasturi; Nathan Hadjiyski (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Large-Scale Granger Causality (lsGC) for classification of schizophrenia using functional MRI. - Axel Wismüller; M. Ali Vosoughi; Akhil Kasturi; Nathan Hadjiyski (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Cross modal global local representation learning from radiology reports and x-ray chest images. - Nathan Hadjiyski; M. Ali Vosoughi; Axel Wismüller (Computer-Aided Diagnosis, 2023)

Classification of schizophrenia using large-scale kernelized Granger causality (lsKGC) and functional MR imaging. - M. Ali Vosoughi; Akhil Kasturi; Nathan Hadjiyski; Axel Wismüller (Computer-Aided Diagnosis, 2023)

Enhancing Graph Attention Neural Network Performance for Marijuana Consumption Classification through Large-scale Augmented Granger Causality (lsAGC) Analysis of Functional MR Images. - M. Ali Vosoughi; Akhil Kasturi; Axel Wismüller (CoRR, 2024)