activity
20222026
most citedDeep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields

30 citations · 65 across the 5 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.CV2023★ 21 cited

Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry

Tina Yao, Nicole St. Clair, Gabriel F. Miller +13

Purpose: To develop and evaluate an end-to-end deep learning pipeline for segmentation and analysis of cardiac magnetic resonance images to provide core-lab processing for a multi-…