331-02-004 / 331-02-004 ISMRM Abstract

Set deep learning for protocol generalisation in machine-learning-based brain microstructure estimation

Primary: Diffusion - Microstructure

Secondary: Analysis Methods - Classification and Prediction

331-02-004 · AI Frontiers in Image Analysis · Monday, 11 May, 1:50 PM–3:06 PM · Roof Terrace

Keywords: Microstructure Diffusion MRI Deep learning

Accepted

Leevi Kerkelä¹, Antoine Legouhy¹, Nina Kraguljac², Gary Zhang ¹

¹Hawkes Institute and Department of Computer Science, University College London, London, United Kingdom

²Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, United States of America

Presenting Author: Gary Zhang

Synopsis

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References

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8. Alfaro-Almagro F, Jenkinson M, Bangerter NK, Andersson JL, Griffanti L, Douaud G, Sotiropoulos SN, Jbabdi S, Hernandez-Fernandez M, Vallee E, Vidaurre D. Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank. Neuroimage. 2018 Feb 1;166:400-24. https://doi.org/10.1016/j.neuroimage.2017.10.034 [doi]

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http://echo.ismrm.org/p/ISMRM2026/331-02-004