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Echoes Over Time: Detecting Heart Defects in Newborns

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Machine Learning Courses Deep Learning Courses Computer Vision Courses Cardiology Courses Pediatrics Courses Medical Imaging Courses Echocardiography Courses Congenital Heart Defects Courses Pulmonary Hypertension Courses

Course Description

Overview

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Explore a 35-minute conference talk from the Computational Genomics Summer Institute (CGSI) 2024 that delves into the detection of heart defects in newborns using advanced computational techniques. Discover how deep learning and anomaly detection methods are applied to echocardiograms for predicting pulmonary hypertension and ejection fraction in infants. Learn about the latest research in using dynamic variational trajectory models for identifying anomalies in echocardiographic data. Gain insights into the intersection of computer vision, machine learning, and healthcare as applied to neonatal cardiology.

Syllabus

Julia Vogt | Echoes Over Time: Detecting Heart Defects in Newborns | CGSI 2024


Taught by

Computational Genomics Summer Institute CGSI

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