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

32 citations · 47 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2017★ 32 cited

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

Wufeng Xue, Andrea Lum, Ashley Mercado +3

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…

cs.CV2017★ 15 cited

Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network

Wufeng Xue, Ilanit Ben Nachum, Sachin Pandey +3

Accurate estimation of regional wall thicknesses (RWT) of left ventricular (LV) myocardium from cardiac MR sequences is of significant importance for identification and diagnosis o…