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High-Precision Computer-Assisted Segmentation of Multispectral MRI Data Sets in Patients with Multiple Sclerosis by a Flexible Machine Learning Image Analysis Approach.

A. Wismüller, J. Behrends, O. Lange, M. Jukic, K. Hahn, M. Reiser, and D. Auer. Bildverarbeitung für die Medizin, volume 80 of CEUR Workshop Proceedings, page 403-407. CEUR-WS.org, (2003)

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Axel Wismüller

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Roland Wismüller

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Other publications of authors with the same name

Lesion classification on breast MRI through topological characterization of morphology over time.M. Nagarajan, M. Huber, T. Schlossbauer, L. Ray, A. Król, and A. Wismüller. Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 79631U. SPIE, (2011)Identifying HIV associated neurocognitive disorder using large-scale Granger causality analysis on resting-state functional MRI.A. DSouza, A. Abidin, L. Leistritz, and A. Wismüller. Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101330M. SPIE, (2017)MRI tumor segmentation with densely connected 3D CNN.L. Chen, Y. Wu, A. DSouza, A. Abidin, A. Wismüller, and C. Xu. Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 105741F. SPIE, (2018)Functional connectivity analysis in resting state fMRI with echo-state networks and non-metric clustering for network structure recovery.A. Wismüller, A. DSouza, A. Abidin, X. Wang, S. Hobbs, and M. Nagarajan. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 94171M. SPIE, (2015)Nonlinear functional connectivity network recovery in the human brain with mutual connectivity analysis (MCA): convergent cross-mapping and non-metric clustering.A. Wismüller, A. Abidin, A. D'Souza, X. Wang, S. Hobbs, L. Leistritz, and M. Nagarajan. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 94170M. SPIE, (2015)Investigating changes in brain network properties in HIV-associated neurocognitive disease (HAND) using mutual connectivity analysis (MCA).A. Abidin, A. D'Souza, M. Nagarajan, and A. Wismüller. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9788 of SPIE Proceedings, page 97881W. SPIE, (2016)Detecting connectivity changes in autism spectrum disorder using large-scale Granger causality.A. Abidin, A. DSouza, and A. Wismüller. Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490M. SPIE, (2019)Neural network vector quantization improves the diagnostic quality of computer-aided diagnosis in dynamic breast MRI.A. Wismüller, A. Meyer-Baese, G. Leinsinger, O. Lange, T. Schlossbauer, and M. Reiser. Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 65141F. SPIE, (2007)Model-free functional MRI analysis for detecting low-frequency functional connectivity in the human brain.A. Wismüller, O. Lange, D. Auer, and G. Leinsinger. Medical Imaging: Computer-Aided Diagnosis, volume 7624 of SPIE Proceedings, page 76241M. SPIE, (2010)A computational framework for exploratory data analysis.A. Wismüller. ESANN, (2009)