Shaoguang Chen

3Shenghan Lai
3Gary Gerstenblith
2Richard Moore
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UNLABELLED Chronic cocaine use may lead to premature atherosclerosis, but the prevalence of and risk factors for coronary artery disease (CAD) in asymptomatic cocaine users have not been reported. The objective of this study was to examine whether vitamin D deficiency is associated with the development of CAD in human immunodeficiency virus (HIV)-infected(More)
hree-dimensional shapes are used extensively in fields such as mechanical design, multimedia games, architecture, and medical diagnosis. 1 All of these applications need to store, recognize , and retrieve 3D models effectively and automatically. Because the characteristics of 3D shapes differ from those of text and images, traditional classification and(More)
OBJECTIVE Patients with HIV infection are at increased risk for coronary artery disease (CAD), and growing evidence suggests a possible link between vitamin D deficiency and clinical/subclinical CAD. However, the relationship between vitamin D deficiency and coronary artery calcification (CAC), a sensitive marker for subclinical CAD, in those with HIV(More)
BACKGROUND The key objectives of this study were to examine whether HIV infection itself is associated with subclinical coronary atherosclerosis and the potential contributions of cocaine use and antiretroviral therapies (ARTs) to subclinical coronary artery disease (CAD) in HIV-infected persons. METHODS AND RESULTS Between June 2004 and February 2015,(More)
Deep learning has emerged as a powerful technique to extract high-level features from low-level information, which shows that hierarchical representation can be easily achieved. However, applying deep learning into 3D shape is still a challenge. In this paper, we propose a novel high-level feature learning method for 3D shape retrieval based on deep(More)
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