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Titlebook: Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data; Second International Stanley Durrleman,Tom Fletcher,Marc Nietha

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Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomye also develop a permutation test based on the Hotelling .. statistic to compare the average shapes trends between two populations. We demonstrate the benefits of our method on a synthetic example of longitudinal tori and data from a developmental neuroimaging study.
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Unsupervised Learning of Shape Complexity: Application to Brain Development as desired, and the framework automatically finds the ones which can be used as good biomarkers. However, the example application focuses on neonatal brain image data, the proposed framework for combining information from multiple measures may be applied more generally to other populations and other forms of imaging data.
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Motion-Based Segmentation for Cardiomyocyte Characterizationumber of regions. The regions can then be characterized separately for more robust cardiomyocytes analysis. We demonstrate the accuracy and effectiveness of our approach on a number of synthetic and real datasets.
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/s/image/873615.jpg
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https://doi.org/10.1007/978-3-642-33555-6MRI; brain imaging; hypergraphs; predictive modeling; statistical data analysis; algorithm analysis and p
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978-3-642-33554-9Springer-Verlag Berlin Heidelberg 2012
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