Computational Image-Based Stroke Assessment for Evaluation of Cerebroprotectants with Longitudinal and Multi-Site Preclinical MRI-Reference-Cited by-同舟云学术

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

Published:2023-04-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
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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

Link

http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230408.pdf?arnumber=10230408

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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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