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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 4)

Authors: Ander Biguri; Subhadip Mukherjee;

Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 4)

Abstract

Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 4) https://sites.google.com/view/icassp2024-spgc-3dcbct/home Please download all files (of all parts, 1-5) into one folder, and then merge them together with: $ zip -s 0 train.zip --out train_unsplit.zip [Click and drag to move] This will create a new zip file, "train_unsplit.zip" that then you can unzip with your favorite tool, e.g. $ unzip train_unsplit.zip [Click and drag to move] The CBCT geometry required to be used image size : [300 300 300] mm image shape : [256 256 256] voxels voxel size : [1.171875 1.171875 1.171875] mm detector shape : [256 256] pixels detector size : [600, 600] mm pixel size : [2.34375, 2.34375] mm distance source origin (axis of rotation, center of image) : 575 mm distance source to detector : 1050 mm We recommend zenodo_get to download the files: https://github.com/dvolgyes/zenodo_get Remember that to be part of the challenge you need to register in the webpage above.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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