Learning Spectral Fractional Anisotropy and Mean Diffusivity Features as Neuroimaging Biomarkers for Tracking White Matter Integrity Changes in Myotonic Dystrophy Type 1 Patients using Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Learning Spectral Fractional Anisotropy and Mean Diffusivity Features as Neuroimaging Biomarkers for Tracking White Matter Integrity Changes in Myotonic Dystrophy Type 1 Patients using Deep Convolutional Neural Networks

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Kamali Tahereh¹,Day John W.¹,Deutsch Gayle K.¹,Sampson Jacinda B.¹,Murad Alejandro²,Chaufty Jeremy²,Parker Dana¹,Wozniak Jeffrey R.³

Affiliation:

1. Stanford University School of Medicine,Department of Neurology and Neurological Sciences,California,USA

2. US Discovery Biology,UCB Biopharma,Boston,USA

3. University of Minnesota,Department of Psychiatry and Behavioral Sciences,USA

Funder

UCB

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340468.pdf?arnumber=10340468

Reference17 articles.

1. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging

2. Gibbs-ringing artifact removal based on local subvoxel-shifts

3. Tract Profiles of White Matter Properties: Automating Fiber-Tract Quantification

4. N4ITK: Improved N3 Bias Correction

5. Denoising of diffusion MRI using random matrix theory

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