G
Guang Yang
Researcher at National Institutes of Health
Publications - 3
Citations - 226
Guang Yang is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Segmentation & Overfitting. The author has an hindex of 2, co-authored 3 publications receiving 129 citations. Previous affiliations of Guang Yang include Sun Yat-sen University.
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Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
Xiahai Zhuang,Lei Li,Christian Payer,Darko Štern,Martin Urschler,Mattias P. Heinrich,Julien Oster,Chunliang Wang,Örjan Smedby,Cheng Bian,Xin Yang,Pheng-Ann Heng,Aliasghar Mortazi,Ulas Bagci,Guanyu Yang,Chenchen Sun,Gaetan Galisot,Jean-Yves Ramel,Thierry Brouard,Qianqian Tong,Weixin Si,Xiangyun Liao,Guodong Zeng,Zenglin Shi,Guoyan Zheng,Chengjia Wang,Tom MacGillivray,David E. Newby,Kawal Rhode,Sebastien Ourselin,Raad Mohiaddin,Jennifer Keegan,David N. Firmin,Guang Yang +33 more
TL;DR: This work presents the methodologies and evaluation results for the WHS algorithms selected from the submissions to the Multi-Modality Whole Heart Segmentation (MM-WHS) challenge, in conjunction with MICCAI 2017.
Posted Content
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Xiahai Zhuang,Lei Li,Christian Payer,Darko Štern,Martin Urschler,Mattias P. Heinrich,Julien Oster,Chunliang Wang,Örjan Smedby,Cheng Bian,Xin Yang,Pheng-Ann Heng,Aliasghar Mortazi,Ulas Bagci,Guanyu Yang,Chenchen Sun,Gaetan Galisot,Jean-Yves Ramel,Thierry Brouard,Qianqian Tong,Weixin Si,Xiangyun Liao,Guodong Zeng,Zenglin Shi,Guoyan Zheng,Chengjia Wang,Tom MacGillivray,David E. Newby,Kawal Rhode,Sebastien Ourselin,Raad Mohiaddin,Jennifer Keegan,David N. Firmin,Guang Yang +33 more
TL;DR: The Multi-Modality Whole Heart Segmentation (MM-WHS) challenge as discussed by the authors was held in conjunction with MICCAI 2017, which provided 120 three-dimensional cardiac images covering the whole heart, including 60 CT and 60 MRI volumes.
Posted Content
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets
Jun Chen,Guang Yang,Habib Khan,Heye Zhang,Yanping Zhang,Shu Zhao,Raad H. Mohiaddin,Tom Wong,David N. Firmin,Jennifer Keegan +9 more
TL;DR: In this article, an adaptive attention cascade was proposed to automatically correlate the segmentation tasks of the unbalanced atrial targets, where the estimated LA acts as the attention map to adaptively focus on the small atrial scars roughly.