SCMR-ISMRM Workshop: 05 - Scientific Abstracts (AI and Machine Learning & Workflow)-Introduction

Video Transcription

Video Summary

The speaker introduces an SMR workshop session on advanced cardiac MRI mechanics and hemodynamics, focused on AI and machine learning workflows. Moderated by Mehmet Ecege and Claudia Prieto, the session features four prerecorded scientific talks followed by a Q&A at the end. The talks cover: deep learning-based synthetic data generation for robust cardiac function estimation; machine learning for fully automatic LGE scar quantification in a multinational registry; synthetic retact images for training a network for TAC tracking; and deep learning for classification of CMR images as a first step toward fully automated CMR analysis.

Keywords

cardiac MRI

machine learning

deep learning

synthetic data

scar quantification