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2020 – today
- 2024
[i16]M. Ali Vosoughi, Akhil Kasturi, Axel Wismüller:
Enhancing Graph Attention Neural Network Performance for Marijuana Consumption Classification through Large-scale Augmented Granger Causality (lsAGC) Analysis of Functional MR Images. CoRR abs/2410.18506 (2024)- 2023
- [c82]Axel Wismüller, Jerome Avondo, Larry Stockmaster, Akhil Kasturi, M. Ali Vosoughi:
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 2023 - [c81]Axel Wismüller, M. Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski:
Identification of schizophrenia patients using large-scale Extended Granger Causality (lsXGC) in functional MR imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c80]Axel Wismüller, M. Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski:
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 2023 - [c79]Axel Wismüller, M. Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski:
Large-Scale Granger Causality (lsGC) for classification of schizophrenia using functional MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c78]Nathan Hadjiyski, M. Ali Vosoughi, Axel Wismüller:
Cross modal global local representation learning from radiology reports and x-ray chest images. Computer-Aided Diagnosis 2023 - [c77]M. Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski, Axel Wismüller:
Classification of schizophrenia using large-scale kernelized Granger causality (lsKGC) and functional MR imaging. Computer-Aided Diagnosis 2023 - [i15]Nathan Hadjiyski, M. Ali Vosoughi, Axel Wismüller:
Cross Modal Global Local Representation Learning from Radiology Reports and X-Ray Chest Images. CoRR abs/2301.10951 (2023) - 2022
- [j30]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:
Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting. npj Digit. Medicine 5 (2022) - [c76]Mohammad Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin, Axel Wismüller:
Relation Discovery in Nonlinearly Related Large-Scale Settings. ICASSP 2022: 5103-5107 - [c75]M. Ali Vosoughi, Axel Wismüller:
Large-scale Kernelized Granger Causality (lsKGC) for inferring topology of directed graphs in brain networks. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c74]Axel Wismüller, M. Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin:
Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c73]Axel Wismüller, M. Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin:
Inferring functional relations from synthetic fMRI data using large-scale Nonlinear Granger Causality (lsNGC). Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c72]Axel Wismüller, M. Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin:
Exploring directed network connectivity in complex systems using large-scale augmented Granger causality (lsAGC). Computer-Aided Diagnosis 2022 - [i14]Axel Wismüller, Larry Stockmaster, M. Ali Vosoughi:
Re-defining Radiology Quality Assurance (QA) - Artificial Intelligence (AI)-Based QA by Restricted Investigation of Unequal Scores (AQUARIUS). CoRR abs/2205.00629 (2022) - [i13]Axel Wismüller, M. Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin:
Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data. CoRR abs/2205.03029 (2022) - 2021
- [c71]M. Ali Vosoughi, Axel Wismüller:
Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments. EUSIPCO 2021: 1456-1460 - [c70]M. Ali Vosoughi, Axel Wismüller:
Large-scale extended Granger causality for classification of marijuana users from functional MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c69]Axel Wismüller, Adora M. DSouza, M. Ali Vosoughi, Anas Z. Abidin:
Network connectivity analysis in complex systems using large-scale non-linear Granger causality (lsNGC). Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c68]Axel Wismüller, Larry Stockmaster, M. Ali Vosoughi:
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 2021 - [c67]Axel Wismüller, M. Ali Vosoughi:
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 2021 - [c66]Axel Wismüller, M. Ali Vosoughi:
Classification of schizophrenia from functional MRI using large-scale extended Granger causality. Computer-Aided Diagnosis 2021 - [i12]M. Ali Vosoughi, Axel Wismüller:
Large-Scale Extended Granger Causality for Classification of Marijuana Users From Functional MRI. CoRR abs/2101.01832 (2021) - [i11]Axel Wismüller, M. Ali Vosoughi:
Large-scale Augmented Granger Causality (lsAGC) for Connectivity Analysis in Complex Systems: From Computer Simulations to Functional MRI (fMRI). CoRR abs/2101.09354 (2021) - [i10]Axel Wismüller, M. Ali Vosoughi:
Classification of Schizophrenia from Functional MRI Using Large-scale Extended Granger Causality. CoRR abs/2101.10471 (2021) - [i9]M. Ali Vosoughi, Axel Wismüller:
Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments. CoRR abs/2106.00842 (2021) - 2020
- [c65]Axel Wismüller, Larry Stockmaster:
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 2020: 113170M - [c64]Seyed Saman Saboksayr, Adora M. DSouza, John J. Foxe, Axel Wismüller:
Classification of attention-deficit/hyperactivity disorder from resting-state functional MRI with mutual connectivity analysis. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131703 - [c63]Seyed Saman Saboksayr, John J. Foxe, Axel Wismüller:
Attention-deficit/hyperactivity disorder prediction using graph convolutional networks. Computer-Aided Diagnosis 2020 - [c62]Axel Wismüller, John J. Foxe, Paul Geha, Seyed Saman Saboksayr:
Large-scale Extended Granger Causality (lsXGC) for classification of Autism Spectrum Disorder from resting-state functional MRI. Computer-Aided Diagnosis 2020 - [i8]Axel Wismüller, Titas De, Eva Lochmüller, Felix Eckstein, Mahesh B. Nagarajan:
Introducing Anisotropic Minkowski Functionals and Quantitative Anisotropy Measures for Local Structure Analysis in Biomedical Imaging. CoRR abs/2004.01185 (2020) - [i7]Adora M. DSouza, Anas Z. Abidin, Axel Wismüller:
Automated Identification of Thoracic Pathology from Chest Radiographs with Enhanced Training Pipeline. CoRR abs/2006.06805 (2020) - [i6]Axel Wismüller, Adora M. DSouza, Anas Z. Abidin:
Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data. CoRR abs/2009.04681 (2020) - [i5]Axel Wismüller, Larry Stockmaster:
Tracking Results and Utilization of Artificial Intelligence (tru-AI) in Radiology: Early-Stage COVID-19 Pandemic Observations. CoRR abs/2010.07437 (2020) - [i4]M. Ali Vosoughi, Axel Wismüller:
Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks. CoRR abs/2011.08261 (2020)
2010 – 2019
- 2019
- [j29]Udaysankar Chockanathan, Adora M. DSouza, Anas Z. Abidin, Giovanni Schifitto, Axel Wismüller:
Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI. Comput. Biol. Medicine 106: 24-30 (2019) - [c61]Anas Z. Abidin, Irfaan Dar, Adora M. D'Souza, Edward P. Lin, Axel Wismüller:
Investigating a quantitative radiomics approach for brain tumor classification. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530B - [c60]Adora M. DSouza, Anas Z. Abidin, Axel Wismüller:
Classification of autism spectrum disorder from resting-state fMRI with mutual connectivity analysis. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531D - [c59]Adora M. DSouza, Anas Z. Abidin, Axel Wismüller:
Automated identification of thoracic pathology from chest radiographs with enhanced training pipeline. Computer-Aided Diagnosis 2019: 109503F - [c58]Anas Z. Abidin, Adora M. DSouza, Axel Wismüller:
Detecting connectivity changes in autism spectrum disorder using large-scale Granger causality. Image Processing 2019: 109490M - 2018
- [j28]Anas Z. Abidin, Botao Deng, Adora M. DSouza, Mahesh B. Nagarajan, Paola Coan, Axel Wismüller:
Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage. Comput. Biol. Medicine 95: 24-33 (2018) - [j27]Adora M. DSouza, Anas Z. Abidin, Udaysankar Chockanathan, Giovanni Schifitto, Axel Wismüller:
Mutual connectivity analysis of resting-state functional MRI data with local models. NeuroImage 178: 210-223 (2018) - [c57]Anas Zainul Abidin, Adora M. D'Souza, Udaysankar Chockanathan, Giovanni Schifitto, Axel Wismüller:
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 2018: 105780A - [c56]Udaysankar Chockanathan, Anas Z. Abidin, Adora M. DSouza, Giovanni Schifitto, Axel Wismüller:
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 2018: 105780B - [c55]Adora M. DSouza, Anas Z. Abidin, Udaysankar Chockanathan, Lutz Leistritz, Axel Wismüller:
Investigating large-scale Granger causality analysis in presence of noise and varying sampling rate. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105780C - [c54]Udaysankar Chockanathan, Adora M. DSouza, Anas Z. Abidin, Giovanni Schifitto, Axel Wismüller:
Identification and functional characterization of HIV-associated neurocognitive disorders with large-scale Granger causality analysis on resting-state functional MRI. Computer-Aided Diagnosis 2018: 105750Z - [c53]Adora M. DSouza, Anas Z. Abidin, Udaysankar Chockanathan, Axel Wismüller:
Regional autonomy changes in resting-state functional MRI in patients with HIV associated neurocognitive disorder. Image Processing 2018: 105740Y - [c52]Lele Chen, Yue Wu, Adora M. DSouza, Anas Z. Abidin, Axel Wismüller, Chenliang Xu:
MRI tumor segmentation with densely connected 3D CNN. Image Processing 2018: 105741F - [i3]Lele Chen, Yue Wu, Adora M. DSouza, Anas Z. Abidin, Axel Wismüller, Chenliang Xu:
MRI Tumor Segmentation with Densely Connected 3D CNN. CoRR abs/1802.02427 (2018) - 2017
- [c51]Anas Z. Abidin, Udaysankar Chockanathan, Adora M. DSouza, Matilde Inglese, Axel Wismüller:
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 2017: 101371B - [c50]Adora M. DSouza, Anas Z. Abidin, Axel Wismüller:
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 2017: 101371C - [c49]Botao Deng, Anas Z. Abidin, Adora M. D'Souza, Mahesh B. Nagarajan, Paola Coan, Axel Wismüller:
Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks. Computer-Aided Diagnosis 2017: 1013412 - [c48]Anas Z. Abidin, John Jameson, Robert Molthen, Axel Wismüller:
Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta. Computer-Aided Diagnosis 2017: 1013413 - [c47]Adora M. DSouza, Anas Z. Abidin, Lutz Leistritz, Axel Wismüller:
Identifying HIV associated neurocognitive disorder using large-scale Granger causality analysis on resting-state functional MRI. Image Processing 2017: 101330M - 2016
- [c46]Anas Zainul Abidin, Adora M. D'Souza, Mahesh B. Nagarajan, Axel Wismüller:
Detecting altered connectivity patterns in HIV associated neurocognitive impairment using mutual connectivity analysis. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97880N - [c45]Adora M. D'Souza, Anas Zainul Abidin, Lutz Leistritz, Axel Wismüller:
Large-scale Granger causality analysis on resting-state functional MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97880L - [c44]Adora M. D'Souza, Anas Zainul Abidin, Mahesh B. Nagarajan, Axel Wismüller:
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 2016: 97880K - [c43]Anas Zainul Abidin, Adora M. D'Souza, Mahesh B. Nagarajan, Axel Wismüller:
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 2016: 97881W - [c42]Walter A. Checefsky, Anas Z. Abidin, Mahesh B. Nagarajan, Jan S. Bauer, Thomas Baum, Axel Wismüller:
Assessing vertebral fracture risk on volumetric quantitative computed tomography by geometric characterization of trabecular bone structure. Computer-Aided Diagnosis 2016: 978508 - [c41]Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, Mahesh B. Nagarajan:
Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering. WSOM 2016: 217-226 - 2015
- [j26]Mahesh B. Nagarajan, Paola Coan, Markus B. Huber, Paul C. Diemoz, Axel Wismüller:
Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography. Medical Biol. Eng. Comput. 53(11): 1211-1220 (2015) - [c40]Britta Pester, Christoph Schmidt, Nicole Schmid-Hertel, Herbert Witte, Axel Wismüller, Lutz Leistritz:
Identification of whole-brain network modules based on a large scale Granger Causality approach. EMBC 2015: 5380-5383 - [c39]Axel Wismüller, Anas Z. Abidin, Adora M. D'Souza, Xixi Wang, Susan K. Hobbs, Lutz Leistritz, Mahesh B. Nagarajan:
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 2015: 94170M - [c38]Anas Z. Abidin, Mahesh B. Nagarajan, Walter A. Checefsky, Paola Coan, Paul C. Diemoz, Susan K. Hobbs, Markus B. Huber, Axel Wismüller:
Volumetric characterization of human patellar cartilage matrix on phase contrast x-ray computed tomography. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94171F - [c37]Mahesh B. Nagarajan, Walter A. Checefsky, Anas Z. Abidin, Halley Tsai, Xixi Wang, Susan K. Hobbs, Jan S. Bauer, Thomas Baum, Axel Wismüller:
Characterizing trabecular bone structure for assessing vertebral fracture risk on volumetric quantitative computed tomography. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94171E - [c36]Xixi Wang, Mahesh B. Nagarajan, Anas Z. Abidin, Adora M. D'Souza, Susan K. Hobbs, Axel Wismüller:
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 2015: 94171N - [c35]Axel Wismüller, Adora M. DSouza, Anas Z. Abidin, Xixi Wang, Susan K. Hobbs, Mahesh B. Nagarajan:
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 2015: 94171M - 2014
- [j25]Mahesh B. Nagarajan, Markus B. Huber, Thomas Schlossbauer, Gerda L. Leinsinger, Andrzej Król, Axel Wismüller:
Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology. Artif. Intell. Medicine 60(1): 65-77 (2014) - [j24]Mahesh B. Nagarajan, Paola Coan, Markus B. Huber, Paul C. Diemoz, Christian Glaser, Axel Wismüller:
Computer-Aided Diagnosis for Phase-Contrast X-ray Computed Tomography: Quantitative Characterization of Human Patellar Cartilage with High-Dimensional Geometric Features. J. Digit. Imaging 27(1): 98-107 (2014) - [j23]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:
Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression. J. Electronic Imaging 23(1): 013013 (2014) - [j22]Chetan Bhole, Christopher J. Pal, David Rim, Axel Wismüller:
3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning. Mach. Vis. Appl. 25(2): 301-325 (2014) - [c34]Christoph Schmidt, Britta Pester, Mahesh Nagarajan, Herbert Witte, Lutz Leistritz, Axel Wismüller:
Impact of multivariate granger causality analyses with embedded dimension reduction on network modules. EMBC 2014: 2797-2800 - [i2]Axel Wismüller, Xixi Wang, Adora M. DSouza, Mahesh B. Nagarajan:
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 abs/1407.3809 (2014) - 2013
- [j21]Mahesh B. Nagarajan, Markus B. Huber, Thomas Schlossbauer, Gerda L. Leinsinger, Andrzej Król, Axel Wismüller:
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. 24(7): 1371-1381 (2013) - [j20]Mahesh B. Nagarajan, Paola Coan, Markus B. Huber, Paul C. Diemoz, Christian Glaser, Axel Wismüller:
Computer-Aided Diagnosis in Phase Contrast Imaging X-Ray Computed Tomography for Quantitative Characterization of ex vivo Human Patellar Cartilage. IEEE Trans. Biomed. Eng. 60(10): 2896-2903 (2013) - 2012
- [j19]Markus B. Huber, Kerstin Bunte, Mahesh B. Nagarajan, Michael Biehl, Lawrence A. Ray, Axel Wismüller:
Texture feature ranking with relevance learning to classify interstitial lung disease patterns. Artif. Intell. Medicine 56(2): 91-97 (2012) - [c33]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:
Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression. Computer-Aided Diagnosis 2012: 83151W - 2011
- [j18]Axel Wismüller:
Computational intelligence in biomedical imaging: multidimensional analysis of spatio-temporal patterns. Comput. Sci. Res. Dev. 26(1-2): 15-37 (2011) - [j17]Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller:
Neighbor embedding XOM for dimension reduction and visualization. Neurocomputing 74(9): 1340-1350 (2011) - [j16]Markus B. Huber, Sarah L. Lancianese, Mahesh B. Nagarajan, Imoh Z. Ikpot, Amy L. Lerner, Axel Wismüller:
Prediction of Biomechanical Properties of Trabecular Bone in MR Images With Geometric Features and Support Vector Regression. IEEE Trans. Biomed. Eng. 58(6): 1820-1826 (2011) - [c32]Markus B. Huber, Mahesh B. Nagarajan, Gerda L. Leinsinger, Lawrence A. Ray, Axel Wismüller:
Estimating local scaling properties for the classification of interstitial lung disease patterns. Computer-Aided Diagnosis 2011: 79631Q - [c31]Mahesh B. Nagarajan, Markus B. Huber, Thomas Schlossbauer, Lawrence A. Ray, Andrzej Król, Axel Wismüller:
Lesion classification on breast MRI through topological characterization of morphology over time. Computer-Aided Diagnosis 2011: 79631U - [c30]Markus B. Huber, Kerstin Bunte, Mahesh B. Nagarajan, Michael Biehl, Lawrence A. Ray, Axel Wismüller:
Texture feature selection with relevance learning to classify interstitial lung disease patterns. Computer-Aided Diagnosis 2011: 796318 - [c29]Mahesh B. Nagarajan, Markus B. Huber, Thomas Schlossbauer, Gerda L. Leinsinger, Andrzej Król, Axel Wismüller:
Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization. MLMI 2011: 352-359 - [i1]Axel Wismüller:
A Computational Framework for Nonlinear Dimensionality Reduction of Large Data Sets: The Exploratory Inspection Machine (XIM). CoRR abs/1106.2156 (2011) - 2010
- [j15]Kerstin Bunte, Barbara Hammer, Axel Wismüller, Michael Biehl:
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data. Neurocomputing 73(7-9): 1074-1092 (2010) - [c28]Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller:
Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization. ESANN 2010 - [c27]Axel Wismüller, Michel Verleysen, Michaël Aupetit, John Aldo Lee:
Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. ESANN 2010 - [c26]Mahesh B. Nagarajan, Markus B. Huber, Thomas Schlossbauer, Gerda L. Leinsinger, Axel Wismüller:
Analysis of breast lesions on contrast-enhanced magnetic resonance images using high-dimensional texture features. Computer-Aided Diagnosis 2010: 76241G - [c25]Axel Wismüller, Oliver Lange, Dorothee Auer, Gerda L. Leinsinger:
Model-free functional MRI analysis for detecting low-frequency functional connectivity in the human brain. Computer-Aided Diagnosis 2010: 76241M - [c24]Markus B. Huber, Mahesh Nagarajan, Gerda L. Leinsinger, Lawrence A. Ray, Axel Wismüller:
Classification of interstitial lung disease patterns with topological texture features. Computer-Aided Diagnosis 2010: 762410
2000 – 2009
- 2009
- [j14]Anke Meyer-Bäse, Thomas Schlossbauer, Oliver Lange, Axel Wismüller:
Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI. Int. J. Biomed. Imaging 2009: 326924:1-326924:10 (2009) - [c23]Axel Wismüller:
The Exploration Machine - a novel method for structure-preserving dimensionality reduction. ESANN 2009 - [c22]Axel Wismüller:
A computational framework for exploratory data analysis. ESANN 2009 - [c21]Axel Wismüller:
The exploration machine: a novel method for analyzing high-dimensional data in computer-aided diagnosis. Computer-Aided Diagnosis 2009: 72600G - [c20]Axel Wismüller:
A Computational Framework for Nonlinear Dimensionality Reduction and Clustering. WSOM 2009: 334-343 - [c19]Axel Wismüller:
The Exploration Machine - A Novel Method for Data Visualization. WSOM 2009: 344-352 - 2008
- [c18]Anke Meyer-Bäse, Oliver Lange, Thomas Schlossbauer, Axel Wismüller:
Computer-aided diagnosis and visualization based on clustering and independent component analysis for breast MRI. ICIP 2008: 3000-3003 - [c17]Axel Wismüller, Johannes Behrends, Phil Hoole, Gerda L. Leinsinger, Maximilian F. Reiser, Per-Lennart Westesson:
Human Vocal Tract Analysis by in Vivo 3D MRI during Phonation: A Complete System for Imaging, Quantitative Modeling, and Speech Synthesis. MICCAI (2) 2008: 306-312 - 2007
- [j13]Anke Meyer-Bäse, Axel Saalbach, Oliver Lange, Axel Wismüller:
Unsupervised clustering of fMRI and MRI time series. Biomed. Signal Process. Control. 2(4): 295-310 (2007) - [j12]Anke Meyer-Bäse, Oliver Lange, Axel Wismüller, Monica K. Hurdal:
Analysis of Dynamic Susceptibility Contrast MRI Time Series Based on Unsupervised Clustering Methods. IEEE Trans. Inf. Technol. Biomed. 11(5): 563-573 (2007) - [c16]Axel Wismüller, Anke Meyer-Baese, Gerda L. Leinsinger, Oliver Lange, Thomas Schlossbauer, Maximilian F. Reiser:
Neural network vector quantization improves the diagnostic quality of computer-aided diagnosis in dynamic breast MRI. Computer-Aided Diagnosis 2007: 65141F - 2006
- [j11]Axel Wismüller, Anke Meyer-Bäse, Oliver Lange, Thomas Schlossbauer, Maria Kallergi, Maximilian F. Reiser, Gerda L. Leinsinger:
Segmentation and classification of dynamic breast magnetic resonance image data. J. Electronic Imaging 15(1): 013020 (2006) - [j10]Axel Wismüller, Anke Meyer-Bäse, Oliver Lange, Maximilian F. Reiser, Gerda L. Leinsinger:
Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series. IEEE Trans. Medical Imaging 25(1): 62-73 (2006) - [c15]Axel Wismüller, Anke Meyer-Bäse, Johannes Behrends, Oliver Lange, Miriana Jukic, Maximilian F. Reiser, Dorothee Auer:
A flexible machine learning image analysis system for high-precision computer-assisted segmentation of multispectral MRI data sets in patients with multiple sclerosis. ISBI 2006: 1328-1331 - 2005
- [j9]Anke Meyer-Bäse, Karsten Jancke, Axel Wismüller, Simon Foo, Thomas Martinetz:
Medical image compression using topology-preserving neural networks. Eng. Appl. Artif. Intell. 18(4): 383-392 (2005) - [j8]Tim W. Nattkemper, Axel Wismüller:
Tumor feature visualization with unsupervised learning. Medical Image Anal. 9(4): 344-351 (2005) - [c14]Axel Saalbach, Thorsten Twellmann, Tim W. Nattkemper, Axel Wismüller, Jörg Ontrup, Helge J. Ritter:
A Hyperbolic Topographic Mapping for Proximity Data. Artificial Intelligence and Applications 2005: 106-111 - [c13]Thorsten Twellmann, Oliver Lichte, Axel Saalbach, Axel Wismüller, Tim W. Nattkemper:
An Adaptive Extended Colour Scale for Comparison of Pseudo Colouring Techniques for DCE-MRI Data. Bildverarbeitung für die Medizin 2005: 312-316 - 2004
- [j7]Anke Meyer-Bäse, Sergei S. Pilyugin, Axel Wismüller, Simon Foo:
Local exponential stability of competitive neural networks with different time scales. Eng. Appl. Artif. Intell. 17(3): 227-232 (2004) - [j6]Anke Meyer-Bäse, Oliver Lange, Axel Wismüller, Helge J. Ritter:
Model-free functional mri analysis using topographic independent component analysis. Int. J. Neural Syst. 14(4): 217-228 (2004) - [j5]Axel Wismüller, Anke Meyer-Bäse, Oliver Lange, Dorothee Auer, Maximilian F. Reiser, DeWitt Sumners:
Model-free functional MRI analysis based on unsupervised clustering. J. Biomed. Informatics 37(1): 10-18 (2004) - [j4]Axel Wismüller, Frank Vietze, Johannes Behrends, Anke Meyer-Bäse, Maximilian F. Reiser, Helge J. Ritter:
Fully automated biomedical image segmentation by self-organized model adaptation. Neural Networks 17(8-9): 1327-1344 (2004) - [j3]Anke Meyer-Bäse, Axel Wismüller, Oliver Lange:
Comparison of two exploratory data analysis methods for fMRI: unsupervised clustering versus independent component analysis. IEEE Trans. Inf. Technol. Biomed. 8(3): 387-398 (2004) - [c12]Thomas Villmann, Udo Seiffert, Axel Wismüller:
Theory and applications of neural maps. ESANN 2004: 25-38 - 2003
- [c11]Johannes Behrends, Phil Hoole, Gerda L. Leinsinger, Hans G. Tillmann, Klaus Hahn, Maximilian F. Reiser, Axel Wismüller:
A Segmentation and Analysis Method for MRI Data of the Human Vocal Tract. Bildverarbeitung für die Medizin 2003: 186-190 - [c10]Axel Wismüller, Johannes Behrends, Oliver Lange, Miriana Jukic, Klaus Hahn, Maximilian F. Reiser, Dorothee Auer:
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 2003: 403-407 - [c9]Axel Wismüller, Udo Seiffert:
Digital Image Processing with Neural Networks. ESANN 2003: 493-502 - [c8]Anke Meyer-Bäse, Thomas D. Otto, Thomas Martinetz, Dorothee Auer, Axel Wismüller:
Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis. ESANN 2003: 509-514 - 2002
- [j2]Axel Wismüller, Oliver Lange, Dominik R. Dersch, Gerda L. Leinsinger, Klaus Hahn, Benno Pütz, Dorothee Auer:
Cluster Analysis of Biomedical Image Time-Series. Int. J. Comput. Vis. 46(2): 103-128 (2002) - [j1]Axel Wismüller, Frank Vietze, Dominik R. Dersch, Johannes Behrends, Klaus Hahn, Helge J. Ritter:
The deformable feature map - a novel neurocomputing algorithm for adaptive plasticity in pattern analysis. Neurocomputing 48(1-4): 107-139 (2002) - [c7]Axel Wismüller, Thomas Villmann:
Exploratory Data Analysis in Medicine and Bioinformatics. ESANN 2002: 25-38 - 2001
- [c6]Axel Wismüller, Oliver Lange, Dominik R. Dersch, Klaus Hahn, Gerda L. Leinsinger:
Analysis of dynamic perfusion MRI data by neural networks. ESANN 2001: 19-24 - [c5]Axel Wismüller, Oliver Lange, Dominik R. Dersch, Klaus Hahn, Gerda L. Leinsinger:
Neural Network Analysis of Dynamic Contrast-Enhanced MRI Mammography. ICANN 2001: 1000-1005 - 2000
- [c4]Axel Wismüller, Frank Vietze, Dominik R. Dersch, Gerda L. Leinsinger, Johannes Behrends, Helge J. Ritter, Klaus Hahn:
Elastic Distortion of Deformable Feature Maps for Fully-Automatic Segmentation of Multispectral MRI Data Sets of the Human Brain. Bildverarbeitung für die Medizin 2000: 116-120 - [c3]Axel Wismüller, Frank Vietze, Dominik R. Dersch, Klaus Hahn, Helge J. Ritter:
A neural network approach to adaptive pattern analysis - the deformable feature map. ESANN 2000: 189-194 - [c2]Axel Wismüller, Dominik R. Dersch, Bernadette Lipinski, Klaus Hahn, Dorothee Auer:
Hierarchical Clustering of Functional MRI Time-Series by Deterministic Annealing. ISMDA 2000: 49-54
1990 – 1999
- 1998
- [c1]Axel Wismüller, Dominik R. Dersch, Bernadette Lipinski, Klaus Hahn, Dorothee Auer:
Neural network analysis of functional MRI time-series. Hierarchical clustering by deterministic annealing. Bildverarbeitung für die Medizin 1998
Coauthor Index
Anas Z. Abidin
aka: Anas Zainul Abidin
aka: Anas Zainul Abidin
Adora M. DSouza
aka: Adora M. D'Souza
aka: Adora M. D'Souza
Anke Meyer-Bäse
aka: Anke Meyer-Baese
aka: Anke Meyer-Baese
Mohammad Ali Vosoughi
aka: M. Ali Vosoughi
aka: M. Ali Vosoughi
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