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Efficient Processing of Raster and Vector Data
(Public Library of Science, 2020-01-10)
[Abstract] In this work, we propose a framework to store and manage spatial data, which includes new efficient algorithms to perform operations accepting as input a raster dataset and a vector dataset. More concretely, we ...
Compressed Data Structures for Binary Relations in Practice
(Institute of Electrical and Electronics Engineers, 2020-01-31)
[Abstract] Binary relations are commonly used in Computer Science for modeling data. In addition to classical representations using matrices or lists, some compressed data structures have recently been proposed to represent ...
Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information
(BioMed Central Ltd., 2020-06-03)
[Abstract]
Background
Diffusion MRI is the preferred non-invasive in vivo modality for the study of brain white matter connections. Tractography datasets contain 3D streamlines that can be analyzed to study the main ...
From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas
(Frontiers Research Foundation, 2020-09-10)
[Abstract] In this article, we present a hybrid method to create fine-grained parcellations of the cortical surface, from a coarse-grained parcellation according to an anatomical atlas, based on cortico-cortical connectivity. ...