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Welcome
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Introduction
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Project Overview
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Background
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Machine Model
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Data Collection
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Public Dataset
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Stanford Dataset
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Application Study
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Multicenter Validation
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Crosscenter Validation
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Summary
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Message
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Thank you
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Future directions
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Automatic tools
Description:
Explore the fascinating world of fetal brain development in this 58-minute lecture from Stanford University's Radiology PHIND series. Join Liyue Shen, a PhD student in Electrical Engineering, as she delves into the intricate processes of human brain formation before birth. Learn about cutting-edge machine learning models, data collection methods, and public datasets used to study fetal neurodevelopment. Discover the applications of this research in multicenter and cross-center validation studies. Gain insights into future directions and automatic tools being developed to advance our understanding of the developing human brain. This comprehensive presentation offers a unique glimpse into the groundbreaking research happening at the intersection of radiology, neuroscience, and artificial intelligence.

Time Before Birth: A Look at Developing Human Brain

Stanford University
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