mlsanityData to 14 Oct 2026

InstantGroup: Instant Template Generation for Scalable Group of Brain MRI Registration

arXiv 2211.05622 ↗First posted 10 Nov 2022eess.IV cs.CVcited by 2

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Abstract (arXiv)

Template generation is a critical step in groupwise image registration, which involves aligning a group of subjects into a common space. While existing methods can generate high-quality template images, they often incur substantial time costs or are limited by fixed group scales. In this paper, we present InstantGroup, an efficient groupwise template generation framework based on variational autoencoder (VAE) models that leverage latent representations' arithmetic properties, enabling scalability to groups of any size. InstantGroup features a Dual VAE backbone with shared-weight twin networks to handle pairs of inputs and incorporates a Displacement Inversion Module (DIM) to maintain template unbiasedness and a Subject-Template Alignment Module (STAM) to improve template quality and registration accuracy. Experiments on 3D brain MRI scans from the OASIS and ADNI datasets reveal that InstantGroup dramatically reduces runtime, generating templates within seconds for various group sizes while maintaining superior performance compared to state-of-the-art baselines on quantitative metrics, including unbiasedness and registration accuracy.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 41 of its 86 references that are in the map. First posted on arXiv 10 Nov 2022.

Builds on

41 of 86 references.

References · 41

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Citing papers per year: 2025: 1; 2026: 1.

2 papers.