Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise-Reference-Cited by-同舟云学术

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Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise

Published:2024-05-27 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Jiang Haotian¹,Zhang Shu²,Wen Xuyun³,Cui Hui⁴,Lu Jun¹,Rekik Islem⁵,Ma Jiquan¹,Chen Geng²

Affiliation:

1. Heilongjiang University,Department of Computer Science and Technology

2. Northwestern Polytechnical University,School of Computer Science and Engineering

3. Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology

4. La Trobe University,Department of Computer Science and Information Technology

5. Imperial College London,Imperial-X and Department of Computing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635650.pdf?arnumber=10635650

Reference16 articles.

1. Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?

2. Quantitative Comparison of Reconstruction Methods for Intra-Voxel Fiber Recovery From Diffusion MRI

3. 3 Tesla magnetic resonance imaging of the brain in newborns

4. Visual recovery after perinatal stroke evidenced by functional and diffusion MRI: case report

5. An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images

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