Listen "AI-Powered Precision in MRI with MRAnnotator"
Episode Synopsis
MRAnnotator is a deep learning model that segments 44 anatomical structures across diverse MRI sequences. Developed at Mount Sinai, it shows strong generalizability across scanners and sites, outperforming existing models. Host commentary summarizes the model development and datasets and explores its impact on AI development, annotation workflows, and multi-center research. MRAnnotator: multi-anatomy and many-sequence MRI segmentation of 44 structures. Radiology Advances, 2025, 2(1), umae035.
More episodes of the podcast Radiology Advances Podcast | RSNA
Deep Learning for Faster Neuro MRI
12/11/2025
Advancing MRI Efficiency in Memory Disorders
15/10/2025
Automating Myocardial Infarct Segmentation
01/10/2025
The Robotic Edge in CT-Guided Procedures
20/08/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.