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FlowLet: Conditional 3D brain MRI synthesis using wavelet flow matching

delete2026-06-15
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OA
AI
D
Danilo Danese *
A
Angela Lombardi *
M
Matteo Attimonelli
G
Giuseppe Fasano
T
Tommaso Di Noia
DOI:10.1016/j.media.2026.104161delete
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Abstract

Abstract

En 中文
• Wavelet-based flow matching model synthesizes 3D brain MRI. • Age conditioning controls localized morphology changes in synthetic volumes. • Deterministic sampling allows generation in 10 steps without additional latent compression. • Region-and task-based tests show gains in brain age prediction accuracy. • Methodology, code, and evaluation protocols are released free and open-source for reproducibility.
Keywords:
Flow matching
MRI
3D brain synthesis
Generative models
Age-conditioned generation
Deep learning
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Journal

Medical Image Analysis cover
Medical Image Analysis
IF:
11.8
Papers:
3.8K
Citations:
2.4W

Organization

P
politecnico di bari
Scholars:
499
Papers: 212
Citations: 0