Search Results for author: Mark Landis

Found 1 papers, 0 papers with code

Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness

no code implementations6 Jun 2017 Wufeng Xue, Andrea Lum, Ashley Mercado, Mark Landis, James Warringto, Shuo Li

Cardiac left ventricle (LV) quantification is among the most clinically important tasks for identification and diagnosis of cardiac diseases, yet still a challenge due to the high variability of cardiac structure and the complexity of temporal dynamics.

feature selection

Cannot find the paper you are looking for? You can Submit a new open access paper.