Evaluating U-net Brain Extraction for Multi-site and Longitudinal Preclinical Stroke Imaging

doi:doi:10.57702/yyrtk6cw

Evaluating U-net Brain Extraction for Multi-site and Longitudinal Preclinical Stroke Imaging

A large preclinical stroke imaging study with multi-modal MRI datasets, including quantitative multi-echo T2 and apparent diffusion coefficient (ADC) maps.

Data and Resources

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
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Cite this as

Erendiz Tarakci, Joseph Mandeville, Fahmeed Hyder, Basavaraju G. Sanganahalli, Daniel R. Thedens, Ali Arbab, Shuning Huang, Adnan Bibic, Jelena Mihailovic, Andreia Morais, Jessica Lamb, Karisma Nagarkatti, Marcio A. Dinitz, Andre Rogatko, Arthur W. Toga, Patrick Lyden, Ryan P. Cabeen (2024). Dataset: Evaluating U-net Brain Extraction for Multi-site and Longitudinal Preclinical Stroke Imaging. https://doi.org/10.57702/yyrtk6cw

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Erendiz Tarakci
More Authors	Joseph Mandeville Fahmeed Hyder Basavaraju G. Sanganahalli Daniel R. Thedens Ali Arbab Shuning Huang Adnan Bibic Jelena Mihailovic Andreia Morais Jessica Lamb Karisma Nagarkatti Marcio A. Dinitz Andre Rogatko Arthur W. Toga Patrick Lyden Ryan P. Cabeen
Homepage	https://doi.org/10.1101/2022.04.15.22232444