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NeuroPilot streamlines neuroimage processing with agent-driven pipeline

By PulseAugur Editorial · [1 sources] ·

Researchers have developed NeuroPilot, an agent-driven system designed to streamline the processing, quality control, and management of neuroimages. This system utilizes three LLM-invocable skills: dcm2bids-skill for data standardization, neuroimage-pre-skill for modality-specific preprocessing, and qc-agent-skill for automated quality control. NeuroPilot has been successfully deployed across 17 cohorts, processing over 123,000 subjects and significantly reducing the processing timeline from months to a single week. AI

IMPACT Accelerates neuroimaging research by automating complex processing and QC tasks.

RANK_REASON Research paper detailing a new processing pipeline for neuroimages. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

NeuroPilot streamlines neuroimage processing with agent-driven pipeline

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yiyao Chen, Yucheng Li, Jungong Tong, Shaoqi Wang, Kunhao Zhou, Ziquan Wei, Monica Murea, Marissa DiPiero, Tingting Dan, Guorong Wu ·

    NeuroPilot: An Agent-Driven Smart Pipeline for Processing, Quality Control, and Managing Neuroimages

    arXiv:2608.07541v1 Announce Type: cross Abstract: Transforming raw neuroimage archives into analysis-ready derivatives relies on three brittle stages: data standardization, modality-specific preprocessing, and quality control (QC). While individual neuroimaging tools are well dev…

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