Multimodal Deep Learning for Pediatric Mild Traumatic Brain Injury Detection-Reference-Cited by-同舟云学术

Multimodal Deep Learning for Pediatric Mild Traumatic Brain Injury Detection

Published:2023-10-15 Issue: Volume: Page:
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Container-title:2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
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Author:

Mazumder Badhan¹,Tripathy Deepan Krishna¹,Yeates Keith Owen²,Beauchamp Miriam H.³,Craig William⁴,Doan Quynh⁵,Freedman Stephen B.⁶,Lebel Catherine⁷,Zemek Roger⁸,Ware Ashley L.⁹,Hye Ye Dong¹

Affiliation:

1. Georgia State University,Department of Computer Science,Atlanta,GA,USA,30302

2. University of Calgary,Department of Psychology,Calgary,Canada

3. University of Montreal and CHU Sainte-Justine Hospital Research Center,Department of Psychology,Montreal, Quebec,Canada

4. University of Alberta and Stollery Children’s Hospital,Edmonton,Canada

5. University of British Columbia,Pediatric Emergency Medicine,Vancouver,Canada

6. University of Calgary,Cumming School of Medicine,Departments of Pediatrics and Emergency Medicine,Calgary,Canada

7. University of Calgary,Department of Radiology,Calgary,Canada

8. University of Ottawa, Children’s Hospital of Eastern Ontario Research Institute,Department of Pediatrics and Emergency Medicine,Ottawa,Canada

9. Georgia State University,Department of Psychology,Atlanta,GA,USA,30303

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10313339/10313352/10313520.pdf?arnumber=10313520

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