no code implementations • 5 Dec 2023 • Dan U. Lior, Charles Puelz, Justin Weigand, Kristina V. Montez, Yimo Wang, Silvana Molossi, Daniel J. Penny, Craig G. Rusin
Both the geometry of the vessel walls and the velocity of the blood within them are required to generate accurate estimates of vessel flow properties.
no code implementations • 21 Mar 2023 • Tina Yao, Nicole St. Clair, Gabriel F. Miller, Adam L. Dorfman, Mark A. Fogel, Sunil Ghelani, Rajesh Krishnamurthy, Christopher Z. Lam, Joshua D. Robinson, David Schidlow, Timothy C. Slesnick, Justin Weigand, Michael Quail, Rahul Rathod, Jennifer A. Steeden, Vivek Muthurangu
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-centre registry of Fontan patients.