CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research

T Sherif, P Rioux, ME Rousseau, N Kassis… - Frontiers in …, 2014 - frontiersin.org
The Canadian Brain Imaging Research Platform (CBRAIN) is a web-based collaborative
research platform developed in response to the challenges raised by data-heavy, compute …

Neuroinformatics as a megascience issue

F Beltrame, SH Koslow - IEEE Transactions on Information …, 1999 - ieeexplore.ieee.org
The greatest increment in acquired knowledge about the brain has occurred in the last two
decades, aided by technological advances in molecular biology, molecular genetics, brain …

[图书][B] Neuroscience databases: A practical guide

R Kötter - 2003 - books.google.com
Neuroscience Databases: A Practical Guide is the first book providing a comprehensive
overview of these increasingly important databases. This volume makes the results of the …

EBRAINS live papers-interactive resource sheets for computational studies in neuroscience

S Appukuttan, LL Bologna, F Schürmann, M Migliore… - Neuroinformatics, 2023 - Springer
We present here an online platform for sharing resources underlying publications in
neuroscience. It enables authors to easily upload and distribute digital resources, such as …

[PDF][PDF] A high-resolution model of the human entorhinal cortex in the 'BigBrain'–use case for machine learning and 3D analyses

S Behuet, S Bludau, O Kedo, C Schiffer… - … 2019, Cetraro, Italy …, 2021 - library.oapen.org
The 'BigBrain'is a high-resolution data set of the human brain that enables three-
dimensional (3D) analyses with a 20 μm spatial resolution at nearly cellular level. We use …

Visualizing data mining results with the Brede tools

FA Nielsen - Frontiers in Neuroinformatics, 2009 - frontiersin.org
A few neuroinformatics databases now exist that record results from neuroimaging studies in
the form of brain coordinates in stereotaxic space. The Brede Toolbox was originally …

Adapt current tools for use with big data

E Sejdić - Nature, vol, 2014 - imedlab.org
By 2015, it is likely that a typical hospital will create 665 terabytes of data (for comparison,
the web archive of the US Library of Congress contains less than 500 terabytes of data). This …

[HTML][HTML] The MNI data-sharing and processing ecosystem

S Das, T Glatard, LC MacIntyre, C Madjar, C Rogers… - NeuroImage, 2016 - Elsevier
Neuroimaging has been facing a data deluge characterized by the exponential growth of
both raw and processed data. As a result, mining the massive quantities of digital data …

Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting

MJ Leming, EE Bron, R Bruffaerts, Y Ou… - NPJ Digital …, 2023 - nature.com
Advances in artificial intelligence have cultivated a strong interest in developing and
validating the clinical utilities of computer-aided diagnostic models. Machine learning for …

Neuroscience databases: tools for exploring brain structure–function relationships

R Kötter - … Transactions of the Royal Society of London …, 2001 - royalsocietypublishing.org
Faster than ever, neuroscience is generating vast amounts of data that await cross–
referencing, comparison, integration and interpretation in the endeavour to unravel the …