Chengjia Wang
Medical Image Analyst
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Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling
DOI: https://doi.org/10.1007/978-3-030-65651-5_7
Research output: Contribution to Conference › Conference contribution (E-pub ahead of print) -
Disentangle, align and fuse for multimodal and semi-supervised image segmentation
(10 pages)
In:
IEEE Transactions on Medical Imaging, pp. 1-10
DOI: https://doi.org/10.1109/TMI.2020.3036584
Research output: Contribution to Journal › Article (E-pub ahead of print) -
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis
In:
Information Fusion
DOI: https://doi.org/10.1016/j.inffus.2020.10.015
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Tri-modal imaging of gold-dotted magnetic nanoparticles (Au*MNPs) for magnetic resonance imaging (MRI), computerised tomography (CT) and intravascular ultrasound (IVUS): an in vitro study
In:
Nanomedicine
DOI: https://doi.org/10.2217/nnm-2020-0236
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
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
Research output: Contribution to Conference › Conference contribution (Accepted/In press) -
Distance Oriented Particle Swarm Optimizer for Brain Image Registration
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.
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
Research output: Contribution to Conference › Paper (Published) -
Multimodal cardiac segmentation using disentangled representation learning
Research output: Contribution to Conference › Paper (Published) -
TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis
Research output: Contribution to Conference › Paper (Published) -
Data-driven gross patient motion detection and compensation: Implications for coronary 18F-NaF PET imaging
In:
Journal 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.
Research output: Contribution to Conference › Paper (Published) -
Aortic Wall Inflammation Predicts Abdominal Aortic Aneurysm Expansion, Rupture, and Need for Surgical Repair.
(11 pages)
In:
Circulation, vol. 136, pp. 787–797
DOI: https://doi.org/10.1161/CIRCULATIONAHA.117.028433
Research output: Contribution to Journal › Article (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
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
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
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
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.
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)
In:
Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 28, pp. s237-s238
Research output: Contribution to Journal › Meeting abstract (Published)