C
Chengjia Wang
Researcher at University of Edinburgh
Publications - 51
Citations - 1272
Chengjia Wang is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Segmentation & Deep learning. The author has an hindex of 12, co-authored 44 publications receiving 623 citations. Previous affiliations of Chengjia Wang include Toshiba Medical Systems Corporation & British Heart Foundation.
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Journal ArticleDOI
Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction: Results From the Multicenter SCOT-HEART Trial (Scottish Computed Tomography of the HEART).
Michelle C. Williams,Jacek Kwiecinski,Mhairi K. Doris,Priscilla McElhinney,Michelle S. D’Souza,Sebastien Cadet,Philip D Adamson,Philip D Adamson,Alastair J Moss,Shirjel Alam,Amanda Hunter,Anoop S V Shah,Nicholas L. Mills,Tania Pawade,Chengjia Wang,Jonathan R. Weir McCall,Michael Bonnici-Mallia,Christopher Murrills,Giles Roditi,Edwin J R van Beek,Leslee J. Shaw,Edward D. Nicol,Daniel S. Berman,Piotr J. Slomka,David E. Newby,Marc R. Dweck,Damini Dey +26 more
TL;DR: In patients presenting with stable chest pain, low-attenuation plaque burden is the strongest predictor of fatal or nonfatal myocardial infarction, challenging the current perception of the supremacy of current classical risk predictors for myocardials.
Journal ArticleDOI
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.
Journal ArticleDOI
SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT
TL;DR: This article introduces a semisupervised adversarial learning method, named as SaliencyGAN, empowered by a novel concatenated generative adversarial network (GAN) framework with partially shared parameters to adopt convolutional neural networks on fog–cloud infrastructures for SOD-based applications.
Posted Content
A two-stage 3D Unet framework for multi-class segmentation on full resolution image
TL;DR: A two-stage modified Unet framework that simultaneously learns to detect a ROI within the full volume and to classify voxels without losing the original resolution is developed.
Journal ArticleDOI
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis.
Chengjia Wang,Guang Yang,Giorgos Papanastasiou,Sotirios A. Tsaftaris,David E. Newby,Calum Gray,Gillian Macnaught,Tom MacGillivray +7 more
TL;DR: A deformation invariant cycle-consistency model is presented that can achieve better alignment between the source and target data while maintaining superior image quality of signal compared to several state-of-the-art CycleGAN-based methods.