Chengjia Wang | The University of Edinburgh

Medical Image Analyst

Centre for Cardiovascular Science

Email: Chengjia.Wang@ed.ac.uk

Publications

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge Dec 2019 In: Medical image analysis, vol. 58, pp. 101537
DOI: https://doi.org/10.1016/j.media.2019.101537
Research output: Contribution to Journal › Article (Published)
Multimodal cardiac segmentation using disentangled representations 9 Aug 2019
Research output: Contribution to Conference › Conference contribution (Accepted/In press)
Distance Oriented Particle Swarm Optimizer for Brain Image Registration 29 Mar 2019 In: IEEE Access, vol. 7, pp. 56016 - 56027
DOI: https://doi.org/10.1109/ACCESS.2019.2907769
Research output: Contribution to Journal › Article (Published)
Pharmacokinetic analysis of 18F-flutemetamol uptake in cerebral amyloid angiopathy using PET-MR imaging. 2019
Research output: Contribution to Conference › Paper (Published)
Quantitative assessment of 18F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time frame 2019
Research output: Contribution to Conference › Paper (Published)
Multimodal cardiac segmentation using disentangled representation learning 2019
Research output: Contribution to Conference › Paper (Published)
TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis 2019
Research output: Contribution to Conference › Paper (Published)
Data-driven gross patient motion detection and compensation: Implications for coronary 18F-NaF PET imaging 15 Nov 2018 In: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
DOI: https://doi.org/10.2967/jnumed.118.217877
Research output: Contribution to Journal › Article (Published)
Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks. 2018
Research output: Contribution to Conference › Paper (Published)
Exploring the Biological and Mechanical Properties of Abdominal Aortic Aneurysms Using USPIO MRI and Peak Tissue Stress: A Combined Clinical and Finite Element Study 14 Aug 2017 In: Journal of cardiovascular translational research
DOI: https://doi.org/10.1007/s12265-017-9766-9
Research output: Contribution to Journal › Article (E-pub ahead of print)
Magnetic Resonance Imaging Using Ultrasmall Superparamagnetic Particles of Iron Oxide in Patients Under Surveillance for Abdominal Aortic Aneurysms to Predict Rupture or Surgical Repair: The MA3RS Study 1 Jun 2017 In: Journal of Vascular Surgery, vol. 65, pp. 35S
DOI: https://doi.org/10.1016/J.JVS.2017.03.069
Research output: Contribution to Journal › Meeting abstract (Published)
Monitoring the biological activity of abdominal aortic aneurysms: beyond ultrasound 2016
Research output: Contribution to Symposium › Abstract (Published)
Robust registration software of multi-parametric cardiac MR data with presence of motion-related artefacts and intensity non-homogeneity - ESMRMB 2015, 32nd Annual Scientific Meeting 1 Oct 2015 In: Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 28, pp. 237
DOI: https://doi.org/10.1007/s10334-015-0490-7
Research output: Contribution to Journal › Article (Published)
Automatic detection of inflammatory ‘hotspots’ in abdominal aneurysms to identify patients at risk of aneurysm expansion and rupture. 2015
Research output: Contribution to Conference › Abstract (Published)
Automatic classification of abdominal aortic aneurysms to identify patients at risk of aneurysm expansion and rupture (2 pages) 2015 In: Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 28, pp. s237-s238
Research output: Contribution to Journal › Meeting abstract (Published)
A robust automated multi-modality registration tool applied to abdominal aortic aneurysm 2014
Research output: › Conference contribution (Published)
3D Visualisation of ‘Hotspots’ of Inflammation in Abdominal Aortic Aneurysms (AAA) 2014
Research output: › Conference contribution (Published)
Quantitative myocardial inflammation assessed using a novel USPIO-Magnetic Resonance Imaging acquisition and analysis protocol 30 Jan 2013 In: Journal of Cardiovascular Magnetic Resonance, vol. 15, pp. O114
DOI: https://doi.org/10.1186/1532-429X-15-S1-O114
Research output: Contribution to Journal › Article (Published)

View all 18 publications on Research Explorer

This article was published on 7 Aug, 2020