Newest papers

Controlling Variability in~Neuroimaging Analysis Pipelines with~Software Product Lines

Gauthier Le Bartz Lyan, Paul Temple, Boris Clénet, Mathieu Acher · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.29821 · cited by 0 works (OpenAlex) · open-access PDF

Portuguese

A ressonância magnética (MRI) é uma técnica de aquisição usada para diagnóstico médico. É usada principalmente para análise de imagem de ressonância magnética (ou fMRI) estrutural e funcional. Os dados de ressonância magnética são conhecidos por serem complexos e ruidosos, de modo que os tubos são criados para extrair e aprimorar informações relevantes em imagens recuperadas. O estudo NARPS destacou a variabilidade significativa que pode surgir de diferentes tubos estabelecidos por equipes independentes enquanto tenta responder à mesma pergunta de pesquisa sobre o funcionamento do cérebro. Ter diferentes implementações realizando a mesma tarefa é um campo de jogo típico para linhas de produtos de software (SPLs), o que pode estar fora da visão dos praticantes de neuroimagem. Assim, propor um SPL a partir dess

Machine translation (Meta M2M100); the English original follows.

Abstract

Magnetic resonance imaging (MRI) is an acquisition technique used for medical diagnosis. It is notably used for structural and functional MRI (or fMRI) image analysis. MRI data is known to be complex and noisy, so pipelines are created to extract and enhance relevant information in retrieved images. The NARPS study highlighted the significant variability that can emerge from different pipelines set up by independent teams while trying to answer the same research question about brain functioning. Having different implementations realizing the same task is a typical playground for software product lines (SPLs), which may be out of the sight of neuroimage practitioners. Thus, proposing an SPL out of these different pipelines falls back on a typical reverse-engineering problem with its usual difficulties. In this document, we advocate for the conceptual adoption of SPL principles as a promising direction to improve reproducibility and consistency in neuroimaging research.

Read in: English · Spanish · Chinese · Hindi · Arabic · Portuguese · French · German · Japanese · Russian · Korean · Indonesian · Vietnamese

Topics: Pipeline transport, Consistency (knowledge bases), Computer science, Product (mathematics), Software, Task (project management)

Sources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange