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.
Overview
Syllabus
Welcome
Introduction
Project Overview
Background
Machine Model
Data Collection
Public Dataset
Stanford Dataset
Application Study
Multicenter Validation
Crosscenter Validation
Summary
Message
Thank you
Future directions
Automatic tools
Taught by
Stanford Radiology