Computational Image-Based Stroke Assessment for Evaluation of Cerebroprotectants with Longitudinal and Multi-Site Preclinical MRI

Author:

Cabeen Ryan P.1,Mandeville Joseph2,Hyder Fahmeed3,Sanganahalli Basavaraju G.3,Thedens Daniel R.4,Arbab Ali S.5,Huang Shuning6,Bibic Adnan7,Tarakci Erendiz1,Mihailovic Jelena3,Morais Andreia2,Lamb Jessica8,Nagarkatti Karisma8,Toga Arthur W.1,Lyden Patrick8,Ayata Cenk2

Affiliation:

1. USC Stevens Neuroimaging and Informatics Institute

2. Massachusetts General Hospital,Martinos Center for Biomedical Imaging

3. Yale University,Departments of Radiology and Biomedical Imaging

4. University of Iowa,Carver College of Medicine Epidemiology

5. Augusta University,Medical College of Georgia

6. University of Texas,McGovern Medical School

7. Johns Hopkins University,Kennedy Krieger Institute

8. Zilkha Neurogenetic Institute,Keck School of Medicine of USC

Funder

National Institutes of Health

National Institute of Neurological Disorders and Stroke

Silicon Valley Community Foundation

Publisher

IEEE

Reference16 articles.

1. Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases

2. Automatic Skull Stripping of Rat and Mouse Brain MRI Data Using U-Net

3. LabelMe: A Database and Web-Based Tool for Image Annotation

4. Multimodal, multidimensional models of mouse brain;mackenzie-graham;Epilepsia,2007

5. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

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