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A. Proof of Thm. 4.34
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Index
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References
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Computational Diffusion MRI International MICCAI Workshop, Lima, Peru, October 2020
This book gathers papers presented at the Workshop on Computational Diffusion MRI, CDMRI 2020, held under the auspices of the International...
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Classifying Sleep States Using Persistent Homology and Markov Chains: A Pilot Study
Obstructive sleep Apnea (OSA) is a form of sleep disordered breathing characterized by frequent episodes of upper airway collapse during sleep....
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On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition
There is currently an unprecedented demand for large-scale temporal data analysis due to the explosive growth of data. Dynamic topic modeling has...
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Two-Step Blind Deconvolution of UPC-A Barcode Images
Barcodes are widely used in supermarkets and tracking systems. One noticeable difficulty in barcode recognition is caused by blurring artifacts. For...
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Q-Space Quantitative Diffusion MRI Measures Using a Stretched-Exponential Representation
Diffusion magnetic resonance imaging (dMRI) is a relatively modern technique used to study tissue microstructure in a non-invasive way. Non-Gaussian...
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Stick Stippling for Joint 3D Visualization of Diffusion MRI Fiber Orientations and Density
We investigate a stick stippling approach for glyph-based visualization of neural fiber architecture derived from diffusion magnetic resonance...
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Towards Learned Optimal q-Space Sampling in Diffusion MRI
Fiber tractography is an important tool of computational neuroscience that enables reconstructing the spatial connectivity and organization of white...
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Automatic Segmentation of Dentate Nuclei for Microstructure Assessment: Example of Application to Temporal Lobe Epilepsy Patients
Dentate nuclei (DNs) segmentation is helpful for assessing their potential involvement in neurological diseases. Once DNs have been segmented, it...
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Beyond Lesion-Load: Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways
In multiple sclerosis studies, lesion volume (or lesion load) derived from conventional T2 imaging correlates modestly with clinical assessment....
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Real-Time Algorithms for Visualizing and Processing Seismic and Reservoir Data
In this chapter, we present research that deals with the rendering and processing of seismic volumes and unstructured reservoir grids. We focus on...