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.

BibTex:

@dataset{Erendiz_Tarakci_and_Joseph_Mandeville_and_Fahmeed_Hyder_and_Basavaraju_G_Sanganahalli_and_Daniel_R_Thedens_and_Ali_Arbab_and_Shuning_Huang_and_Adnan_Bibic_and_Jelena_Mihailovic_and_Andreia_Morais_and_Jessica_Lamb_and_Karisma_Nagarkatti_and_Marcio_A_Dinitz_and_Andre_Rogatko_and_Arthur_W_Toga_and_Patrick_Lyden_and_Ryan_P_Cabeen_2024,
    abstract = {A large preclinical stroke imaging study with multi-modal MRI datasets, including quantitative multi-echo T2 and apparent diffusion coefficient (ADC) maps.},
    author = {Erendiz Tarakci and Joseph Mandeville and Fahmeed Hyder and Basavaraju G. Sanganahalli and Daniel R. Thedens and Ali Arbab and Shuning Huang and Adnan Bibic and Jelena Mihailovic and Andreia Morais and Jessica Lamb and Karisma Nagarkatti and Marcio A. Dinitz and Andre Rogatko and Arthur W. Toga and Patrick Lyden and Ryan P. Cabeen},
    doi = {10.57702/yyrtk6cw},
    institution = {No Organization},
    keyword = {'MRI', 'Preclinical Studies', 'Stroke', 'U-Net Architecture'},
    month = {dec},
    publisher = {TIB},
    title = {Evaluating U-net Brain Extraction for Multi-site and Longitudinal Preclinical Stroke Imaging},
    url = {https://service.tib.eu/ldmservice/dataset/evaluating-u-net-brain-extraction-for-multi-site-and-longitudinal-preclinical-stroke-imaging},
    year = {2024}
}