Comparative Skull Stripping Techniques on Pediatric Magnetic Resonance Imaging-Reference-Cited by-同舟云学术

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Comparative Skull Stripping Techniques on Pediatric Magnetic Resonance Imaging

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM)
language:
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Author:

Das Anik¹,Duarte Kaue T N²,Wong Shannon³,Mamoun Youssef³,Bento Mariana Pinheiro⁴

Affiliation:

1. University of Calgary,Department of Biomedical Engineering,Calgary,Canada

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

3. University of Calgary,Department of Electrical and Software Engineering,Calgary,Canada

4. University of Calgary,Department of Biomedical Engineering Department of Electrical and Software Engineering,Calgary,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10373395/10373414/10373445.pdf?arnumber=10373445

Reference15 articles.

1. MRI and CT evaluation of primary bone and soft-tissue tumors

2. A hybrid approach to the skull stripping problem in MRI

3. Review of MRI-based Brain Tumor Image Segmentation Using Deep Learning Methods

4. Methods on Skull Stripping of MRI Head Scan Images—a Review

5. Challenges in pediatric neuroimaging

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1. Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights;Frontiers in Computational Neuroscience;2024-08-26

2. Comparative Analysis of Neurodegenerative disease detection using Artificial Intelligence;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

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