Axel Wismüller

134 papers B 20C 1Misc 1Journal 47Unranked 65

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Inferring causal relations from multivariate data using Large-Scale Augmented Granger Causality (lsAGC). NeuroImage Axel Wismüller, M. Ali Vosoughi, Akhil Kasturi
2024	J	`jnl`	Enhancing Graph Attention Neural Network Performance for Marijuana Consumption Classification through Large-scale Augmented Granger Causality (lsAGC) Analysis of Functional MR Images. CoRR M. Ali Vosoughi, Akhil Kasturi, Axel Wismüller
2023	—	`conf`	Classification of schizophrenia using large-scale kernelized Granger causality (lsKGC) and functional MR imaging. Computer-Aided Diagnosis M. Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski, Axel Wismüller
2023	J	`jnl`	Cross Modal Global Local Representation Learning from Radiology Reports and X-Ray Chest Images. CoRR Nathan Hadjiyski, M. Ali Vosoughi, Axel Wismüller
2023	—	`conf`	Cross modal global local representation learning from radiology reports and x-ray chest images. Computer-Aided Diagnosis Nathan Hadjiyski, M. Ali Vosoughi, Axel Wismüller
2023	—	`conf`	Identification of schizophrenia patients using large-scale Extended Granger Causality (lsXGC) in functional MR imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging Axel Wismüller, M. Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski
2023	—	`conf`	Large-Scale Granger Causality (lsGC) for classification of schizophrenia using functional MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging Axel Wismüller, M. Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski
2023	—	`conf`	Large-scale Augmented Granger Causality (lsAGC) for discovery of causal brain connectivity networks in schizophrenia patients using functional MRI neuroimaging. Biomedical Applications in Molecular, Structural, and Functional Imaging Axel Wismüller, M. Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski
2023	—	`conf`	Tracking the impact of global iodinated contrast agent shortage on radiology: analysis of CT exam volumes at a major US healthcare. Biomedical Applications in Molecular, Structural, and Functional Imaging Axel Wismüller, Jerome Avondo, Larry Stockmaster, Akhil Kasturi, M. Ali Vosoughi
2022	J	`jnl`	Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting. npj Digit. Medicine 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, Janardhana Ponnatapura, Gary J. Wendt, Eric P. Weinberg, Larry Stockmaster, David A. Shrier, Min Chul Shin, Roshan Modi, Hao Steven Lo, Seth Kligerman, Aws Hamid, Lewis D. Hahn, Glenn M. Garcia, Jonathan H. Chung, Talissa Altes, Suhny Abbara, Anna S. Bader
2022	—	`conf`	Exploring directed network connectivity in complex systems using large-scale augmented Granger causality (lsAGC). Computer-Aided Diagnosis Axel Wismüller, M. Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin
2022	—	`conf`	Inferring functional relations from synthetic fMRI data using large-scale Nonlinear Granger Causality (lsNGC). Biomedical Applications in Molecular, Structural, and Functional Imaging Axel Wismüller, M. Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin
2022	—	`conf`	Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data. Biomedical Applications in Molecular, Structural, and Functional Imaging Axel Wismüller, M. Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin
2022	J	`jnl`	Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data. CoRR Axel Wismüller, M. Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin
2022	—	`conf`	Large-scale Kernelized Granger Causality (lsKGC) for inferring topology of directed graphs in brain networks. Biomedical Applications in Molecular, Structural, and Functional Imaging M. Ali Vosoughi, Axel Wismüller
2022	J	`jnl`	Re-defining Radiology Quality Assurance (QA) - Artificial Intelligence (AI)-Based QA by Restricted Investigation of Unequal Scores (AQUARIUS). CoRR Axel Wismüller, Larry Stockmaster, M. Ali Vosoughi
2022	Misc	`conf`	Relation Discovery in Nonlinearly Related Large-Scale Settings. ICASSP Mohammad Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin, Axel Wismüller
2021	J	`jnl`	Classification of Schizophrenia from Functional MRI Using Large-scale Extended Granger Causality. CoRR Axel Wismüller, M. Ali Vosoughi
2021	—	`conf`	Classification of schizophrenia from functional MRI using large-scale extended Granger causality. Computer-Aided Diagnosis Axel Wismüller, M. Ali Vosoughi
2021	—	`conf`	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. Biomedical Applications in Molecular, Structural, and Functional Imaging Axel Wismüller, Larry Stockmaster, M. Ali Vosoughi
2021	J	`jnl`	Large-Scale Extended Granger Causality for Classification of Marijuana Users From Functional MRI. CoRR M. Ali Vosoughi, Axel Wismüller
2021	J	`jnl`	Large-scale Augmented Granger Causality (lsAGC) for Connectivity Analysis in Complex Systems: From Computer Simulations to Functional MRI (fMRI). CoRR Axel Wismüller, M. Ali Vosoughi
2021	—	`conf`	Large-scale augmented Granger causality (lsAGC) for connectivity analysis in complex systems: from computer simulations to functional MRI (fMRI). Biomedical Applications in Molecular, Structural, and Functional Imaging Axel Wismüller, M. Ali Vosoughi
2021	—	`conf`	Large-scale extended Granger causality for classification of marijuana users from functional MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging M. Ali Vosoughi, Axel Wismüller
2021	—	`conf`	Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments. EUSIPCO M. Ali Vosoughi, Axel Wismüller
2021	J	`jnl`	Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments. CoRR M. Ali Vosoughi, Axel Wismüller
2021	—	`conf`	Network connectivity analysis in complex systems using large-scale non-linear Granger causality (lsNGC). Biomedical Applications in Molecular, Structural, and Functional Imaging Axel Wismüller, Adora M. DSouza, M. Ali Vosoughi, Anas Z. Abidin
2020	—	`conf`	A prospective randomized clinical trial for measuring radiology study reporting time on Artificial Intelligence-based detection of intracranial hemorrhage in emergent care head CT. Biomedical Applications in Molecular, Structural, and Functional Imaging Axel Wismüller, Larry Stockmaster
2020	—	`conf`	Attention-deficit/hyperactivity disorder prediction using graph convolutional networks. Computer-Aided Diagnosis Seyed Saman Saboksayr, John J. Foxe, Axel Wismüller
2020	J	`jnl`	Automated Identification of Thoracic Pathology from Chest Radiographs with Enhanced Training Pipeline. CoRR Adora M. DSouza, Anas Z. Abidin, Axel Wismüller
2020	—	`conf`	Classification of attention-deficit/hyperactivity disorder from resting-state functional MRI with mutual connectivity analysis. Biomedical Applications in Molecular, Structural, and Functional Imaging Seyed Saman Saboksayr, Adora M. DSouza, John J. Foxe, Axel Wismüller
2020	J	`jnl`	Introducing Anisotropic Minkowski Functionals and Quantitative Anisotropy Measures for Local Structure Analysis in Biomedical Imaging. CoRR Axel Wismüller, Titas De, Eva Lochmüller, Felix Eckstein, Mahesh B. Nagarajan
2020	—	`conf`	Large-scale Extended Granger Causality (lsXGC) for classification of Autism Spectrum Disorder from resting-state functional MRI. Computer-Aided Diagnosis Axel Wismüller, John J. Foxe, Paul Geha, Seyed Saman Saboksayr
2020	J	`jnl`	Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks. CoRR M. Ali Vosoughi, Axel Wismüller
2020	J	`jnl`	Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data. CoRR Axel Wismüller, Adora M. DSouza, Anas Z. Abidin
2020	J	`jnl`	Tracking Results and Utilization of Artificial Intelligence (tru-AI) in Radiology: Early-Stage COVID-19 Pandemic Observations. CoRR Axel Wismüller, Larry Stockmaster
2019	J	`jnl`	Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI. Comput. Biol. Medicine Udaysankar Chockanathan, Adora M. DSouza, Anas Z. Abidin, Giovanni Schifitto, Axel Wismüller
2019	—	`conf`	Automated identification of thoracic pathology from chest radiographs with enhanced training pipeline. Computer-Aided Diagnosis Adora M. DSouza, Anas Z. Abidin, Axel Wismüller
2019	—	`conf`	Classification of autism spectrum disorder from resting-state fMRI with mutual connectivity analysis. Biomedical Applications in Molecular, Structural, and Functional Imaging Adora M. DSouza, Anas Z. Abidin, Axel Wismüller
2019	B	`conf`	Detecting connectivity changes in autism spectrum disorder using large-scale Granger causality. Image Processing Anas Z. Abidin, Adora M. DSouza, Axel Wismüller
2019	—	`conf`	Investigating a quantitative radiomics approach for brain tumor classification. Biomedical Applications in Molecular, Structural, and Functional Imaging Anas Z. Abidin, Irfaan Dar, Adora M. D'Souza, Edward P. Lin, Axel Wismüller
2018	J	`jnl`	Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage. Comput. Biol. Medicine Anas Z. Abidin, Botao Deng, Adora M. DSouza, Mahesh B. Nagarajan, Paola Coan, Axel Wismüller
2018	—	`conf`	Identification and functional characterization of HIV-associated neurocognitive disorders with large-scale Granger causality analysis on resting-state functional MRI. Computer-Aided Diagnosis Udaysankar Chockanathan, Adora M. DSouza, Anas Z. Abidin, Giovanni Schifitto, Axel Wismüller
2018	—	`conf`	Investigating directed functional connectivity between the resting state networks of the human brain using mutual connectivity analysis. Biomedical Applications in Molecular, Structural, and Functional Imaging Anas Zainul Abidin, Adora M. D'Souza, Udaysankar Chockanathan, Giovanni Schifitto, Axel Wismüller
2018	—	`conf`	Investigating large-scale Granger causality analysis in presence of noise and varying sampling rate. Biomedical Applications in Molecular, Structural, and Functional Imaging Adora M. DSouza, Anas Z. Abidin, Udaysankar Chockanathan, Lutz Leistritz, Axel Wismüller
2018	J	`jnl`	MRI Tumor Segmentation with Densely Connected 3D CNN. CoRR Lele Chen, Yue Wu, Adora M. DSouza, Anas Z. Abidin, Axel Wismüller, Chenliang Xu
2018	B	`conf`	MRI tumor segmentation with densely connected 3D CNN. Image Processing Lele Chen, Yue Wu, Adora M. DSouza, Anas Z. Abidin, Axel Wismüller, Chenliang Xu
2018	J	`jnl`	Mutual connectivity analysis of resting-state functional MRI data with local models. NeuroImage Adora M. DSouza, Anas Z. Abidin, Udaysankar Chockanathan, Giovanni Schifitto, Axel Wismüller
2018	B	`conf`	Regional autonomy changes in resting-state functional MRI in patients with HIV associated neurocognitive disorder. Image Processing Adora M. DSouza, Anas Z. Abidin, Udaysankar Chockanathan, Axel Wismüller
2018	—	`conf`	Resilient modular small-world directed brain networks in healthy subjects with large-scale Granger causality analysis of resting-state functional MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging Udaysankar Chockanathan, Anas Z. Abidin, Adora M. DSouza, Giovanni Schifitto, Axel Wismüller
2017	—	`conf`	Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks. Computer-Aided Diagnosis Botao Deng, Anas Z. Abidin, Adora M. D'Souza, Mahesh B. Nagarajan, Paola Coan, Axel Wismüller
2017	—	`conf`	Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta. Computer-Aided Diagnosis Anas Z. Abidin, John Jameson, Robert Molthen, Axel Wismüller
2017	B	`conf`	Identifying HIV associated neurocognitive disorder using large-scale Granger causality analysis on resting-state functional MRI. Image Processing Adora M. DSouza, Anas Z. Abidin, Lutz Leistritz, Axel Wismüller
2017	—	`conf`	Investigating changes in resting-state connectivity from functional MRI data in patients with HIV associated neurocognitive disorder using MCA and machine learning. Biomedical Applications in Molecular, Structural, and Functional Imaging Adora M. DSouza, Anas Z. Abidin, Axel Wismüller
2017	—	`conf`	Using large-scale Granger causality to study changes in brain network properties in the Clinically Isolated Syndrome (CIS) stage of multiple sclerosis. Biomedical Applications in Molecular, Structural, and Functional Imaging Anas Z. Abidin, Udaysankar Chockanathan, Adora M. DSouza, Matilde Inglese, Axel Wismüller
2016	—	`conf`	Assessing vertebral fracture risk on volumetric quantitative computed tomography by geometric characterization of trabecular bone structure. Computer-Aided Diagnosis Walter A. Checefsky, Anas Z. Abidin, Mahesh B. Nagarajan, Jan S. Bauer, Thomas Baum, Axel Wismüller
2016	—	`conf`	Detecting altered connectivity patterns in HIV associated neurocognitive impairment using mutual connectivity analysis. Biomedical Applications in Molecular, Structural, and Functional Imaging Anas Zainul Abidin, Adora M. D'Souza, Mahesh B. Nagarajan, Axel Wismüller
2016	—	`conf`	Investigating changes in brain network properties in HIV-associated neurocognitive disease (HAND) using mutual connectivity analysis (MCA). Biomedical Applications in Molecular, Structural, and Functional Imaging Anas Zainul Abidin, Adora M. D'Souza, Mahesh B. Nagarajan, Axel Wismüller
2016	—	`conf`	Large-scale Granger causality analysis on resting-state functional MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging Adora M. D'Souza, Anas Zainul Abidin, Lutz Leistritz, Axel Wismüller
2016	—	`conf`	Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering. WSOM Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, Mahesh B. Nagarajan
2016	—	`conf`	Mutual connectivity analysis (MCA) using generalized radial basis function neural networks for nonlinear functional connectivity network recovery in resting-state functional MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging Adora M. D'Souza, Anas Zainul Abidin, Mahesh B. Nagarajan, Axel Wismüller
2015	—	`conf`	Characterizing trabecular bone structure for assessing vertebral fracture risk on volumetric quantitative computed tomography. Biomedical Applications in Molecular, Structural, and Functional Imaging Mahesh B. Nagarajan, Walter A. Checefsky, Anas Z. Abidin, Halley Tsai, Xixi Wang, Susan K. Hobbs, Jan S. Bauer, Thomas Baum, Axel Wismüller
2015	—	`conf`	Functional connectivity analysis in resting state fMRI with echo-state networks and non-metric clustering for network structure recovery. Biomedical Applications in Molecular, Structural, and Functional Imaging Axel Wismüller, Adora M. DSouza, Anas Z. Abidin, Xixi Wang, Susan K. Hobbs, Mahesh B. Nagarajan
2015	—	`conf`	Identification of whole-brain network modules based on a large scale Granger Causality approach. EMBC Britta Pester, Christoph Schmidt, Nicole Schmid-Hertel, Herbert Witte, Axel Wismüller, Lutz Leistritz
2015	—	`conf`	Investigating the use of mutual information and non-metric clustering for functional connectivity analysis on resting-state functional MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging Xixi Wang, Mahesh B. Nagarajan, Anas Z. Abidin, Adora M. D'Souza, Susan K. Hobbs, Axel Wismüller
2015	—	`conf`	Nonlinear functional connectivity network recovery in the human brain with mutual connectivity analysis (MCA): convergent cross-mapping and non-metric clustering. Biomedical Applications in Molecular, Structural, and Functional Imaging Axel Wismüller, Anas Z. Abidin, Adora M. D'Souza, Xixi Wang, Susan K. Hobbs, Lutz Leistritz, Mahesh B. Nagarajan
2015	—	`conf`	Volumetric characterization of human patellar cartilage matrix on phase contrast x-ray computed tomography. Biomedical Applications in Molecular, Structural, and Functional Imaging Anas Z. Abidin, Mahesh B. Nagarajan, Walter A. Checefsky, Paola Coan, Paul C. Diemoz, Susan K. Hobbs, Markus B. Huber, Axel Wismüller
2015	J	`jnl`	Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography. Medical Biol. Eng. Comput. Mahesh B. Nagarajan, Paola Coan, Markus B. Huber, Paul C. Diemoz, Axel Wismüller
2014	J	`jnl`	3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning. Mach. Vis. Appl. Chetan Bhole, Christopher J. Pal, David Rim, Axel Wismüller
2014	J	`jnl`	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 Axel Wismüller, Xixi Wang, Adora M. DSouza, Mahesh B. Nagarajan
2014	J	`jnl`	Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology. Artif. Intell. Medicine Mahesh B. Nagarajan, Markus B. Huber, Thomas Schlossbauer, Gerda L. Leinsinger, Andrzej Król, Axel Wismüller
2014	J	`jnl`	Computer-Aided Diagnosis for Phase-Contrast X-ray Computed Tomography: Quantitative Characterization of Human Patellar Cartilage with High-Dimensional Geometric Features. J. Digit. Imaging Mahesh B. Nagarajan, Paola Coan, Markus B. Huber, Paul C. Diemoz, Christian Glaser, Axel Wismüller
2014	—	`conf`	Impact of multivariate granger causality analyses with embedded dimension reduction on network modules. EMBC Christoph Schmidt, Britta Pester, Mahesh Nagarajan, Herbert Witte, Lutz Leistritz, Axel Wismüller
2014	J	`jnl`	Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression. J. Electronic Imaging 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
2013	J	`jnl`	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. Mahesh B. Nagarajan, Markus B. Huber, Thomas Schlossbauer, Gerda L. Leinsinger, Andrzej Król, Axel Wismüller
2013	J	`jnl`	Computer-Aided Diagnosis in Phase Contrast Imaging X-Ray Computed Tomography for Quantitative Characterization of ex vivo Human Patellar Cartilage. IEEE Trans. Biomed. Eng. Mahesh B. Nagarajan, Paola Coan, Markus B. Huber, Paul C. Diemoz, Christian Glaser, Axel Wismüller
2012	—	`conf`	Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression. Computer-Aided Diagnosis 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
2012	J	`jnl`	Texture feature ranking with relevance learning to classify interstitial lung disease patterns. Artif. Intell. Medicine Markus B. Huber, Kerstin Bunte, Mahesh B. Nagarajan, Michael Biehl, Lawrence A. Ray, Axel Wismüller
2011	J	`jnl`	A Computational Framework for Nonlinear Dimensionality Reduction of Large Data Sets: The Exploratory Inspection Machine (XIM) CoRR Axel Wismüller
2011	—	`conf`	Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization. MLMI Mahesh B. Nagarajan, Markus B. Huber, Thomas Schlossbauer, Gerda L. Leinsinger, Andrzej Król, Axel Wismüller
2011	J	`jnl`	Computational intelligence in biomedical imaging: multidimensional analysis of spatio-temporal patterns. Comput. Sci. Res. Dev. Axel Wismüller
2011	—	`conf`	Estimating local scaling properties for the classification of interstitial lung disease patterns. Computer-Aided Diagnosis Markus B. Huber, Mahesh B. Nagarajan, Gerda L. Leinsinger, Lawrence A. Ray, Axel Wismüller
2011	—	`conf`	Lesion classification on breast MRI through topological characterization of morphology over time. Computer-Aided Diagnosis Mahesh B. Nagarajan, Markus B. Huber, Thomas Schlossbauer, Lawrence A. Ray, Andrzej Król, Axel Wismüller
2011	J	`jnl`	Neighbor embedding XOM for dimension reduction and visualization. Neurocomputing Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller
2011	J	`jnl`	Prediction of Biomechanical Properties of Trabecular Bone in MR Images With Geometric Features and Support Vector Regression. IEEE Trans. Biomed. Eng. Markus B. Huber, Sarah L. Lancianese, Mahesh B. Nagarajan, Imoh Z. Ikpot, Amy L. Lerner, Axel Wismüller
2011	—	`conf`	Texture feature selection with relevance learning to classify interstitial lung disease patterns. Computer-Aided Diagnosis Markus B. Huber, Kerstin Bunte, Mahesh B. Nagarajan, Michael Biehl, Lawrence A. Ray, Axel Wismüller
2010	J	`jnl`	Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data. Neurocomputing Kerstin Bunte, Barbara Hammer, Axel Wismüller, Michael Biehl
2010	—	`conf`	Analysis of breast lesions on contrast-enhanced magnetic resonance images using high-dimensional texture features. Computer-Aided Diagnosis Mahesh B. Nagarajan, Markus B. Huber, Thomas Schlossbauer, Gerda L. Leinsinger, Axel Wismüller
2010	—	`conf`	Classification of interstitial lung disease patterns with topological texture features. Computer-Aided Diagnosis Markus B. Huber, Mahesh Nagarajan, Gerda L. Leinsinger, Lawrence A. Ray, Axel Wismüller
2010	B	`conf`	Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization. ESANN Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller
2010	—	`conf`	Model-free functional MRI analysis for detecting low-frequency functional connectivity in the human brain. Computer-Aided Diagnosis Axel Wismüller, Oliver Lange, Dorothee Auer, Gerda L. Leinsinger
2010	B	`conf`	Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. ESANN Axel Wismüller, Michel Verleysen, Michaël Aupetit, John Aldo Lee
2009	—	`conf`	A Computational Framework for Nonlinear Dimensionality Reduction and Clustering. WSOM Axel Wismüller
2009	B	`conf`	A computational framework for exploratory data analysis. ESANN Axel Wismüller
2009	J	`jnl`	Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI. Int. J. Biomed. Imaging Anke Meyer-Bäse, Thomas Schlossbauer, Oliver Lange, Axel Wismüller
2009	—	`conf`	The Exploration Machine - A Novel Method for Data Visualization. WSOM Axel Wismüller
2009	B	`conf`	The Exploration Machine - a novel method for structure-preserving dimensionality reduction. ESANN Axel Wismüller
2009	—	`conf`	The exploration machine: a novel method for analyzing high-dimensional data in computer-aided diagnosis. Computer-Aided Diagnosis Axel Wismüller
2008	B	`conf`	Computer-aided diagnosis and visualization based on clustering and independent component analysis for breast MRI. ICIP Anke Meyer-Bäse, Oliver Lange, Thomas Schlossbauer, Axel Wismüller
2008	—	`conf`	Human Vocal Tract Analysis by in Vivo 3D MRI during Phonation: A Complete System for Imaging, Quantitative Modeling, and Speech Synthesis. MICCAI (2) Axel Wismüller, Johannes Behrends, Phil Hoole, Gerda L. Leinsinger, Maximilian F. Reiser, Per-Lennart Westesson
2007	J	`jnl`	Analysis of Dynamic Susceptibility Contrast MRI Time Series Based on Unsupervised Clustering Methods. IEEE Trans. Inf. Technol. Biomed. Anke Meyer-Bäse, Oliver Lange, Axel Wismüller, Monica K. Hurdal
2007	—	`conf`	Neural network vector quantization improves the diagnostic quality of computer-aided diagnosis in dynamic breast MRI. Computer-Aided Diagnosis Axel Wismüller, Anke Meyer-Baese, Gerda L. Leinsinger, Oliver Lange, Thomas Schlossbauer, Maximilian F. Reiser
2007	J	`jnl`	Unsupervised clustering of fMRI and MRI time series. Biomed. Signal Process. Control. Anke Meyer-Bäse, Axel Saalbach, Oliver Lange, Axel Wismüller
2006	—	`conf`	A flexible machine learning image analysis system for high-precision computer-assisted segmentation of multispectral MRI data sets in patients with multiple sclerosis. ISBI Axel Wismüller, Anke Meyer-Bäse, Johannes Behrends, Oliver Lange, Miriana Jukic, Maximilian F. Reiser, Dorothee Auer
2006	J	`jnl`	Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series. IEEE Trans. Medical Imaging Axel Wismüller, Anke Meyer-Bäse, Oliver Lange, Maximilian F. Reiser, Gerda L. Leinsinger
2006	J	`jnl`	Segmentation and classification of dynamic breast magnetic resonance image data. J. Electronic Imaging Axel Wismüller, Anke Meyer-Bäse, Oliver Lange, Thomas Schlossbauer, Maria Kallergi, Maximilian F. Reiser, Gerda L. Leinsinger
2005	—	`conf`	A Hyperbolic Topographic Mapping for Proximity Data. Artificial Intelligence and Applications Axel Saalbach, Thorsten Twellmann, Tim W. Nattkemper, Axel Wismüller, Jörg Ontrup, Helge J. Ritter
2005	—	`conf`	An Adaptive Extended Colour Scale for Comparison of Pseudo Colouring Techniques for DCE-MRI Data. Bildverarbeitung für die Medizin Thorsten Twellmann, Oliver Lichte, Axel Saalbach, Axel Wismüller, Tim W. Nattkemper
2005	B	`conf`	Exploratory data analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series. IJCNN Oliver Lange, Anke Meyer-Baese, Axel Wismüller
2005	J	`jnl`	Medical image compression using topology-preserving neural networks. Eng. Appl. Artif. Intell. Anke Meyer-Bäse, Karsten Jancke, Axel Wismüller, Simon Foo, Thomas Martinetz
2005	J	`jnl`	Tumor feature visualization with unsupervised learning. Medical Image Anal. Tim W. Nattkemper, Axel Wismüller
2004	B	`conf`	Breast MRI data analysis by LLE. IJCNN Claudio Varini, Tim W. Nattkemper, Andreas Degenhard, Axel Wismüller
2004	B	`conf`	Clustering of dependent components: a new paradigm for fMRI signal detection. IJCNN Anke Meyer-Bäse, Fabian J. Theis, Oliver Lange, Axel Wismüller
2004	J	`jnl`	Comparison of two exploratory data analysis methods for fMRI: unsupervised clustering versus independent component analysis. IEEE Trans. Inf. Technol. Biomed. Anke Meyer-Bäse, Axel Wismüller, Oliver Lange
2004	J	`jnl`	Fully automated biomedical image segmentation by self-organized model adaptation. Neural Networks Axel Wismüller, Frank Vietze, Johannes Behrends, Anke Meyer-Bäse, Maximilian F. Reiser, Helge J. Ritter
2004	J	`jnl`	Local exponential stability of competitive neural networks with different time scales. Eng. Appl. Artif. Intell. Anke Meyer-Bäse, Sergei S. Pilyugin, Axel Wismüller, Simon Foo
2004	J	`jnl`	Model-free functional MRI analysis based on unsupervised clustering. J. Biomed. Informatics Axel Wismüller, Anke Meyer-Bäse, Oliver Lange, Dorothee Auer, Maximilian F. Reiser, DeWitt Sumners
2004	J	`jnl`	Model-free functional mri analysis using topographic independent component analysis. Int. J. Neural Syst. Anke Meyer-Bäse, Oliver Lange, Axel Wismüller, Helge J. Ritter
2004	B	`conf`	Stability analysis of a self-organizing neural network with feedforward and feedback dynamics. IJCNN Anke Meyer-Bäse, Sergei S. Pilyugin, Axel Wismüller
2004	B	`conf`	Theory and applications of neural maps. ESANN Thomas Villmann, Udo Seiffert, Axel Wismüller
2003	—	`conf`	A Segmentation and Analysis Method for MRI Data of the Human Vocal Tract. Bildverarbeitung für die Medizin Johannes Behrends, Phil Hoole, Gerda L. Leinsinger, Hans G. Tillmann, Klaus Hahn, Maximilian F. Reiser, Axel Wismüller
2003	B	`conf`	Digital Image Processing with Neural Networks. ESANN Axel Wismüller, Udo Seiffert
2003	—	`conf`	High-Precision Computer-Assisted Segmentation of Multispectral MRI Data Sets in Patients with Multiple Sclerosis by a Flexible Machine Learning Image Analysis Approach. Bildverarbeitung für die Medizin Axel Wismüller, Johannes Behrends, Oliver Lange, Miriana Jukic, Klaus Hahn, Maximilian F. Reiser, Dorothee Auer
2003	B	`conf`	Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis. ESANN Anke Meyer-Bäse, Thomas D. Otto, Thomas Martinetz, Dorothee Auer, Axel Wismüller
2003	B	`conf`	Topographic independent component analysis for fMRI signal detection. IJCNN Anke Meyer-Bäse, Dorothee Auer, Axel Wismüller
2002	J	`jnl`	Cluster Analysis of Biomedical Image Time-Series. Int. J. Comput. Vis. Axel Wismüller, Oliver Lange, Dominik R. Dersch, Gerda L. Leinsinger, Klaus Hahn, Benno Pütz, Dorothee Auer
2002	B	`conf`	Exploratory Data Analysis in Medicine and Bioinformatics. ESANN Axel Wismüller, Thomas Villmann
2002	J	`jnl`	The deformable feature map - a novel neurocomputing algorithm for adaptive plasticity in pattern analysis. Neurocomputing Axel Wismüller, Frank Vietze, Dominik R. Dersch, Johannes Behrends, Klaus Hahn, Helge J. Ritter
2001	B	`conf`	Analysis of dynamic perfusion MRI data by neural networks. ESANN Axel Wismüller, Oliver Lange, Dominik R. Dersch, Klaus Hahn, Gerda L. Leinsinger
2001	C	`conf`	Neural Network Analysis of Dynamic Contrast-Enhanced MRI Mammography. ICANN Axel Wismüller, Oliver Lange, Dominik R. Dersch, Klaus Hahn, Gerda L. Leinsinger
2000	B	`conf`	A neural network approach to adaptive pattern analysis - the deformable feature map. ESANN Axel Wismüller, Frank Vietze, Dominik R. Dersch, Klaus Hahn, Helge J. Ritter
2000	—	`conf`	Elastic Distortion of Deformable Feature Maps for Fully-Automatic Segmentation of Multispectral MRI Data Sets of the Human Brain. Bildverarbeitung für die Medizin Axel Wismüller, Frank Vietze, Dominik R. Dersch, Gerda L. Leinsinger, Johannes Behrends, Helge J. Ritter, Klaus Hahn
2000	—	`conf`	Hierarchical Clustering of Functional MRI Time-Series by Deterministic Annealing. ISMDA Axel Wismüller, Dominik R. Dersch, Bernadette Lipinski, Klaus Hahn, Dorothee Auer
1998	—	`conf`	Neural network analysis of functional MRI time-series. Hierarchical clustering by deterministic annealing. Bildverarbeitung für die Medizin Axel Wismüller, Dominik R. Dersch, Bernadette Lipinski, Klaus Hahn, Dorothee Auer