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A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging.

, , and . Brain Informatics, (2018)

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An Uncertainty Visual Analytics Framework for Functional Magnetic Resonance Imaging.. University of Sydney, Australia, (2018)base-search.net (ftunivsydney:oai:ses.library.usyd.edu.au:2123/18750).An Uncertainty Visual Analytics Framework for fMRI Functional Connectivity., , , , , , , and . Neuroinformatics, 17 (2): 211-223 (2019)Adapted K-Core Decomposition and Visualization for Functional Magnetic Resonance Imaging Connectivity Networks., , and . EMBC, page 4134-4137. IEEE, (2018)Exploration of Virtual and Augmented Reality for Visual Analytics and 3D Volume Rendering of Functional Magnetic Resonance Imaging (fMRI) Data., , , , and . BDVA, page 49-56. IEEE, (2015)Data processing and presentation for a personalised, image-driven medical graphical avatar., , , , and . EMBC, page 4183-4186. IEEE, (2013)CereVA - Visual Analysis of Functional Brain Connectivity., , and . IVAPP, page 131-138. SciTePress, (2015)A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging., , and . Brain Informatics, (2018)Challenges for Brain Data Analysis in VR Environments, , , , , , , , , and . 2019 IEEE Pacific Visualization Symposium (PacificVis), page 42-46. (2019)A web-based medical multimedia visualisation interface for personal health records., , , , , , , and . CBMS, page 191-196. IEEE Computer Society, (2013)Temporaltracks: Visual Analytics for Exploration of 4D fMRI Time-series Coactivation, , and . Proceedings of the Computer Graphics International Conference (CGI), page 13:1-13:6. ACM, (2017)