Current Challenges and Future Directions in Diffusion MRI: From Model- to Data- Driven Analysis

DOI10.1007/978-3-030-52893-5_6zbMath1457.92102OpenAlexW3096162993MaRDI QIDQ5147111

Kurt G. Schilling, Adam W. Anderson, Bennett A. Landman, Baxter Rogers

Publication date: 2 February 2021

Published in: Computational Diffusion MRI (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-52893-5_6

zbMATH Keywords

machine learningdiffusion MRIdata-drivenchallenges

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Neural networks for/in biological studies, artificial life and related topics (92B20) Computational methods for problems pertaining to biology (92-08)

Uses Software

• Brain Connectivity Toolbox
• MEDUSA

Cites Work

• Adjusting batch effects in microarray expression data using empirical Bayes methods

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