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MRI-based surface reconstruction and cortical thickness estimation of the human brain: Benchmarking deep-learning based morphometry tools
2025-03-23
radiology and imaging
Title + abstract only
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Establishing reliable and time efficient pipelines for structural MRI segmentation, parcellation and surface reconstruction, is essential to explore the potential clinical applications of research-grade morphometry tools. The integration between deep-learning based methods for fast whole-brain segmentation and the well known surface reconstruction algorithms is a viable alternative to perform this task. In this work, we applied this idea with three deep-learning based cortical parcellation model...
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