Entrack: probabilistic spherical regression with entropy regularization for fiber tractography

DOI10.1007/S11263-020-01384-1zbMath1483.92090OpenAlexW3095242401MaRDI QIDQ2056440

Viktor Wegmayr, Joachim M. Buhmann

Publication date: 2 December 2021

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-020-01384-1

zbMATH Keywords

machine learningbraindiffusion MRImaximum-entropy inferencetractographyalgorithm validation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Biomedical imaging and signal processing (92C55) Measures of information, entropy (94A17)

Uses Software

• Adam
• Fiberfox

Cites Work

• Unnamed Item
• Posterior agreement for large parameter-rich optimization problems
• Information Theory and Statistical Mechanics
• SIMBAD: Emergence of Pattern Similarity

This page was built for publication: Entrack: probabilistic spherical regression with entropy regularization for fiber tractography