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https://dx.doi.org/10.48550/ar...
Article . 2020
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Medical imaging data structure extended to multiple modalities and anatomical regions

Authors: Saborit-Torres, J. M.; Saenz-Gamboa, J. J.; Montell, J. À.; Salinas, J. M.; Gómez, J. A.; Stefan, I.; Caparrós, M.; +9 Authors

Medical imaging data structure extended to multiple modalities and anatomical regions

Abstract

Brain Imaging Data Structure (BIDS) allows the user to organise brain imaging data into a clear and easy standard directory structure. BIDS is widely supported by the scientific community and is considered a powerful standard for management. The original BIDS is limited to images or data related to the brain. Medical Imaging Data Structure (MIDS) was therefore conceived with the objective of extending this methodology to other anatomical regions and other types of imaging systems in these areas.

15 pages, 4 figures and 7 tables. This standard has been applied in arXiv:2006.01174. For more information, visit https://bimcv.cipf.es/bimcv-projects/mids and https://github.com/BIMCV-CSUSP/MIDS/

Keywords

Medical Physics, Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Physical sciences, Image and Video Processing, Medical Physics (physics.med-ph), Electrical Engineering and Systems Science - Image and Video Processing, E.1, Physics - Medical Physics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
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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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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