105 citations · 380 across the 28 of their papers we have counts for
5 papers · 1 filter
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…
Direct detection of pixel-level myocardial infarction areas via a deep-learning algorithm
Chenchu Xu, Lei Xu, Zhifan Gao +7
Accurate detection of the myocardial infarction (MI) area is crucial for early diagnosis planning and follow-up management. In this study, we propose an end-to-end deep-learning al…
Volume Calculation of CT lung Lesions based on Halton Low-discrepancy Sequences
Liansheng Wang, Shusheng Li, Shuo Li
Volume calculation from the Computed Tomography (CT) lung lesions data is a significant parameter for clinical diagnosis. The volume is widely used to assess the severity of the lu…
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…
Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning
Wufeng Xue, Ali Islam, Mousumi Bhaduri +1
Cardiac indices estimation is of great importance during identification and diagnosis of cardiac disease in clinical routine. However, estimation of multitype cardiac indices with…