Zobrazeno 1 - 10
of 237
pro vyhledávání: '"Ong, Sim Heng"'
Automatic segmentation of myocardium in Late Gadolinium Enhanced (LGE) Cardiac MR (CMR) images is often difficult due to the intensity heterogeneity resulting from accumulation of contrast agent in infarcted areas. In this paper, we propose an automa
Externí odkaz:
http://arxiv.org/abs/2205.10595
Late gadolinium enhanced (LGE) cardiac magnetic resonance (CMR) can directly visualize nonviable myocardium with hyperenhanced intensities with respect to normal myocardium. For heart attack patients, it is crucial to facilitate the decision of appro
Externí odkaz:
http://arxiv.org/abs/2205.10572
Automatic segmentation of the left ventricle (LV) in late gadolinium enhanced (LGE) cardiac MR (CMR) images is difficult due to the intensity heterogeneity arising from accumulation of contrast agent in infarcted myocardium. In this paper, we present
Externí odkaz:
http://arxiv.org/abs/2205.10548
Generative Adversarial Networks (GANs) have shown great success in many applications. In this work, we present a novel method that leverages human annotations to improve the quality of generated images. Unlike previous paradigms that directly ask ann
Externí odkaz:
http://arxiv.org/abs/1911.06460
Publikováno v:
In Pattern Recognition August 2020 104
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In Journal of Visual Communication and Image Representation February 2017 43:1-9
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In Pattern Recognition December 2016 60:189-204
Publikováno v:
In Pattern Recognition January 2015 48(1):156-173
Publikováno v:
In Computerized Medical Imaging and Graphics December 2014 38(8):683-695
Publikováno v:
In Computers in Biology and Medicine 1 July 2014 50:116-128