The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction

The Developing Human Connectome Project (dHCP) aims to explore developmental patterns of the human brain during the perinatal period. An automated processing pipeline has been developed to extract high-quality cortical surfaces from structural brain magnetic resonance (MR) images for the dHCP neonat...

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Veröffentlicht in:	Medical image analysis 2025-02, Vol.100, p.103394, Article 103394
Hauptverfasser:	Ma, Qiang, Liang, Kaili, Li, Liu, Masui, Saga, Guo, Yourong, Nosarti, Chiara, Robinson, Emma C., Kainz, Bernhard, Rueckert, Daniel
Format:	Artikel
Sprache:	eng
Schlagworte:	Cerebral Cortex - diagnostic imaging Connectome - methods Cortical surface reconstruction Deep Learning Humans Image Processing, Computer-Assisted - methods Infant, Newborn Magnetic Resonance Imaging - methods Neonatal brain MRI Neuroimage pipeline The developing human connectome project
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