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https://doi.org/10.1007/978-1-4615-4979-6 data. Finally, coefficients encoding the disease dynamics are obtained from longitudinal cognitive measurements for each subject, and exploited to refine our methodology which is demonstrated to successfully predict the follow-up visits.

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https://doi.org/10.1007/978-3-030-35276-9 on high-dimensional data. We show how different concepts from non-linear statistics and differential geometry can be implemented in Theano, and give examples of the implemented theory visualized on landmark representations of Corpus Callosum shapes.

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Myofascial Pain and Dysfunctionpressed as a linear ODE in the Lie algebra. Solving this ODE directly is numerically stable and significantly faster than other LDDMM parallel transport methods. Results on 2D synthetic data and 3D brain MRI demonstrate that our algorithm is fast and conserves the inner products of the transported tangent vectors.

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Graph Geodesics to Find Progressively Similar Skin Lesion Imageslesions. To quantitatively evaluate the quality of the returned path, we propose metrics to measure the number of transitions with respect to the lesion diagnosis, and the progression with respect to the clinical 7-point checklist. Compared to baseline experiments, our approach shows improvements to the quality of the returned paths.

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White Matter Fiber Segmentation Using Functional Varifoldssiders both the geometry and microstructure measure (e.g. GFA) along the fiber pathway. We use it to cluster fibers with a dictionary learning and sparse coding-based framework, and present a preliminary analysis using HCP data.

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