Automatic multi-parametric MR registration method using mutual information based on adaptive asymmetric k-means binning. - Chengjia Wang; Keith A. Goatman; Tom J. MacGillivray; Erin Beveridge; Yolanda G. Sourgia Koutraki; James P. Boardman; Colin Stirrat; Sarah A. Sparrow; Emma Moore; Rozi Paraky; Shirjel Alam; Marc R. Dweck; et al. (ISBI, 2015)

Demons versus level-set motion registration for coronary 18F-sodium fluoride PET. - Mathieu Rubeaux; Nikhil Joshi; Marc R. Dweck; Alison Fletcher; Manish Motwani; Louise E. Thomson; Guido Germano 002; Damini Dey; Daniel S. Berman; David E. Newby; Piotr J. Slomka (Image Processing, 2016)

Multidimensional Assessments of Abdominal Aortic Aneurysms by Magnetic Resonance Against Ultrasound Diameter Measurements. - Giorgos Papanastasiou; Víctor González-Castro; Calum D. Gray; R. O. Forsythe; Y. Sourgia-Koutraki; N. Mitchard; David E. Newby; S. I. K. Semple (MIUA, 2017)

Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation. - Agisilaos Chartsias; Thomas Joyce; Giorgos Papanastasiou; Scott Semple; Michelle C. Williams; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (MICCAI (2), 2018)

A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data. - Chengjia Wang; Tom J. MacGillivray; Gillian Macnaught; Guang Yang 006; David E. Newby (STACOM@MICCAI, 2018)

Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks. - Chengjia Wang; Gillian Macnaught; Giorgos Papanastasiou; Tom J. MacGillivray; David E. Newby (SASHIMI@MICCAI, 2018)

A Distance Oriented Kalman Filter Particle Swarm Optimizer Applied to Multi-Modality Image Registration. - Chengjia Wang; Keith A. Goatman; James P. Boardman; Erin Beveridge; David E. Newby; Scott Semple (CoRR, 2018)

A two-stage 3D Unet framework for multi-class segmentation on full resolution image. - Chengjia Wang; Tom J. MacGillivray; Gillian Macnaught; Guang Yang 006; David E. Newby (CoRR, 2018)

Multimodal Cardiac Segmentation Using Disentangled Representation Learning. - Agisilaos Chartsias; Giorgos Papanastasiou; Chengjia Wang; Colin Stirrat; Scott Semple; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (STACOM@MICCAI, 2019)

TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis. - Chengjia Wang; Giorgos Papanastasiou; Sotirios A. Tsaftaris; Guang Yang 006; Calum D. Gray; David E. Newby; Gillian Macnaught; Tom J. MacGillivray (MLMIR@MICCAI, 2019)

Distance Oriented Particle Swarm Optimizer for Brain Image Registration. - Chengjia Wang; Keith A. Goatman; James P. Boardman; Erin Beveridge; David E. Newby; Scott I. Semple (IEEE Access, 2019)

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. - Xiahai Zhuang; Lei Li 020; Christian Payer; Darko Stern; Martin Urschler; Mattias P. Heinrich; Julien Oster; Chunliang Wang; Örjan Smedby; Cheng Bian; Xin Yang 009; Pheng-Ann Heng; et al. (CoRR, 2019)

Factorised Representation Learning in Cardiac Image Analysis. - Agisilaos Chartsias; Thomas Joyce; Giorgos Papanastasiou; Michelle C. Williams; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (CoRR, 2019)

Disentangle, align and fuse for multimodal and zero-shot image segmentation. - Agisilaos Chartsias; Giorgos Papanastasiou; Chengjia Wang; Scott Semple; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (CoRR, 2019)

Disentangled representation learning in cardiac image analysis. - Agisilaos Chartsias; Thomas Joyce; Giorgos Papanastasiou; Scott Semple; Michelle C. Williams; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (Medical Image Anal., 2019)

Whole Heart Anatomical Refinement from CCTA Using Extrapolation and Parcellation. - Hao Xu; Steven A. Niederer; Steven E. Williams; David E. Newby; Michelle C. Williams; Alistair A. Young (FIMH, 2021)

DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. - Chengjia Wang; Guang Yang 006; Giorgos Papanastasiou; Sotirios A. Tsaftaris; David E. Newby; Calum D. Gray; Gillian Macnaught; Tom J. MacGillivray (Inf. Fusion, 2021)

Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. - Agisilaos Chartsias; Giorgos Papanastasiou; Chengjia Wang; Scott Semple; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2021)

Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces. - Simon Dahan; Hao Xu; Logan Z. J. Williams; Abdulah Fawaz; Chunhui Yang; Timothy S. Coalson; Michelle C. Williams; David E. Newby; A. David Edwards; Matthew F. Glasser; Alistair A. Young; Daniel Rueckert; et al. (CoRR, 2022)

Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography. - Nipun Manral; Andrew Lin; Caroline Park; Priscilla McElhinney; Aditya Killekar; Hidenari Matsumoto; Jacek Kwiecinski; Konrad Pieszko; Aryabod Razipour; Kajetan Grodecki; Mhairi Doris; Alan C. Kwan; et al. (Image Processing, 2023)

MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface Reconstruction. - Yu Deng; Yiyang Xu; Linglong Qian; Charlène Alice Mauger; Anastasia Nasopoulou; Steven Williams 001; Michelle C. Williams; Steven A. Niederer; David E. Newby; Andrew D. McCulloch; Jeffrey H. Omens; Kuberan Pushparajah; et al. (CoRR, 2024)