BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data-Reference-Cited by-同舟云学术

BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data

Published:2023 Issue: Volume: Page:152-164
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Feng Yixue,Chandio Bramsh Q.,Villalón-Reina Julio E.,Thomopoulos Sophia I.,Joshi Himanshu,Nair Gauthami,Joshi Anand A.,Venkatasubramanian Ganesan,John John P.,Thompson Paul M.

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-47292-3_14

Reference30 articles.

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2. Andersson, J.L., Sotiropoulos, S.N.: An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. Neuroimage 125, 1063–1078 (2016). https://doi.org/10.1016/j.neuroimage.2015.10.019

3. Ashburner, J., Friston, K.J.: Voxel-based morphometry-the methods. Neuroimage 11(6), 805–821 (2000). https://doi.org/10.1006/nimg.2000.0582

4. Astolfi, P., et al.: Tractogram filtering of anatomically non-plausible fibers with geometric deep learning (2020). arXiv:2003.11013

5. Chandio, B.Q., et al.: Bundle analytics, a computational framework for investigating the shapes and profiles of brain pathways across populations. Sci. Rep. 10(1), 17149 (2020). https://doi.org/10.1038/s41598-020-74054-4

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