Science and Technology of Brain Mapping

"The true mystery of the world is in visible, not in invisible"
-- Oscar Wilde

The reason we are here

Brain Imaging Informatics is dedicated to design of automatic image analysis and visualization methods and technologies of brain imaging with special emphasis on microscopy. Recent progress in imaging technologies, including MRI and fMRI of human brain, increased the demand for

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“Qute Brain Browser” – 3D multi-modal voxel-based image viewer

What is wrong with the HBP’s “BigBrain Viewer”? I decided to post the description of “Qute Brain Browser” after I saw quite disappointing interface presented by HBP-sponsored BigBrain Viewer, developed using Neuroglancer (open-source WebGL viewer for volumetric data). To avoid possible misunderstandings

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The story of MCG: lost opportunity.

This story is a great example of how illiterate bureaucracy, for quite poorly specified reason, was capable to stop a pioneering research and delayed by 30 years the opportunity for the progress in an important area of science. 1. The

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Segmentation using algorithms of Mathematical Morphology

The main part of presented algorithm is sequential homotopic thinning transformation, “invented” by a group of mathematicians, including F. Meyer (1976), Ch. Lantuejoul (1978), and headed by J.Serra, from Center for Mathematical Morphology, Fontainebleau, France. Many transformations based on thinning

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“Rich-club” member candidates areas form a distinct group

Based on preliminary results of regression analysis, it seems possible to conclude that our initial hypothesis (here) was true: rich-club members areas differ from non-members by different topology of clusterization pattern. Cluster population regression data show that “rich-club” member candidates

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