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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 7

Zeitschriftenartikel

D'Souza, Adora M.; Abidin, Anas Z.; Leistritz, Lutz; Wismüller, Axel (2017): Exploring connectivity with large-scale Granger causality on resting-state functional MRI. In: Journal of Neuroscience Methods, Vol. 287: S. 68-79

Abidin, Anas Z.; Jameson, John; Molthen, Robert; Wismüller, Axel (2017): Classification of micro-CT images using 3D characterization of bone canal patters in human osteogenesis imperfecta. In: Medical Imaging 2017: Computer-Aided Diagnosis, Vol. 10134, 1013413

Deng, Botao; Abidin, Anas Z.; D'Souza, Adora M.; Nagarajan, Mahesh B.; Coan, Paola; Wismüller, Axel (2017): Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks. In: Medical Imaging 2017: Computer-Aided Diagnosis, Vol. 10134, 1013412

D'Souza, Adora M.; Abidin, Anas Z.; Leistritz, Lutz; Wismüller, Axel (2017): Identifying HIV Associated Neurocognitive Disorder Using Large-Scale Granger Causality Analysis on Resting-State Functional MRI. In: Medical Imaging 2017: Image Processing, Vol. 10133, 101330M

Abidin, Anas Z.; Chockanathan, Udaysankar; D'Souza, Adora M.; Inglese, Matilde; Wismüller, Axel (2017): Using Large-Scale Granger Causality to Study Changes in Brain Network Properties in the Clinically Isolated Syndrome (CIS) Stage of Multiple Sclerosis. In: Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, Vol. 10137, 101371B

D'Souza, Adora M.; Abidin, Anas Z.; Wismüller, Axel (2017): Investigating Changes in Resting-State Connectivity from Functional MRI Data in Patients with HIV Associated Neurocognitive Disorder Using MCA and Machine Learning. In: Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, Vol. 10137, 101371C

Buchbeitrag

Wismüller, Axel; Abidin, Anas Z.; D'Souza, Adora M.; Nagarajan, Mahesh B. (2016): Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering. In: Merényi, Erzsébet; Mendenhall, Michael J.; O'Driscoll, Patrick (Hrsg.): Advances in Self-Organizing Maps and Learning Vector Quantization: Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016. Advances in Intelligent Systems and Computing, Bd. 428. Springer. S. 217-226

Diese Liste wurde am Sat Dec 15 01:41:26 2018 CET erstellt.