Using Synthetic Training Data in Neural Networks for the Estimation of Fiber Orientation Distribution Functions from Single Shell Data-Reference-Cited by-同舟云学术

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Using Synthetic Training Data in Neural Networks for the Estimation of Fiber Orientation Distribution Functions from Single Shell Data

Published:2023-04-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
language:
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Author:

Rauland Amelie¹,Merhof Dorit²

Affiliation:

1. RWTH Aachen University,Institute of Imaging and Computer Vision,Aachen,German

2. University of Regensburg,Faculty of Informatics and Data Science,Regensburg,Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230737.pdf?arnumber=10230737

Reference15 articles.

1. Advances in functional and structural MR image analysis and implementation as FSL

2. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

3. Measurement of fiber orientation distributions using high angular resolution diffusion imaging

4. Dipy, a library for the analysis of diffusion MRI data

5. Analysis of partial volume effects in diffusion-tensor MRI

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