David E. Newby

25 papers B 2Journal 14Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Development and External Validation of [18F]FDG PET-CT-Derived Radiomic Models for Prediction of Abdominal Aortic Aneurysm Growth Rate. Algorithms Simran Singh Dhesi, Pratik Adusumilli, Nishant Ravikumar, Mohammed A. Waduud, Russell Frood, Alejandro F. Frangi, Garry McDermott, James H. F. Rudd, Yuan Huang, Jonathan R. Boyle, Maysoon Elkhawad, David E. Newby, Nikhil Joshi, Jing Yi Kwan, Patrick Coughlin, Marc A. Bailey, Andrew F. Scarsbrook
2025	—	`conf`	ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA. MICCAI (6) Anjie Le, Jin Zheng, Tan Gong, Quanlin Sun, Jonathan R. Weir-McCall, Declan P. O'Regan, Michelle C. Williams, David E. Newby, James H. F. Rudd, Yuan Huang
2024	J	`jnl`	MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface Reconstruction. CoRR Yu Deng, Yiyang Xu, Linglong Qian, Charlène Alice Mauger, Anastasia Nasopoulou, Steven Williams, Michelle C. Williams, Steven A. Niederer, David E. Newby, Andrew D. McCulloch, Jeffrey H. Omens, Kuberan Pushparajah, Alistair A. Young
2023	B	`conf`	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. Image Processing 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, Donghee Han, Keiichiro Kuronuma, Guadalupe Flores Tomasino, Evangelos Tzolos, Aakash D. Shanbhag, Markus Goeller, Mohamed Marwan, Sebastien Cadet, Stephen Achenbach, Stephen J. Nicholls, Dennis T. Wong, Daniel S. Berman, Marc R. Dweck, David E. Newby, Michelle C. Williams, Piotr J. Slomka, Damini Dey
2022	J	`jnl`	Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces. CoRR 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, Emma C. Robinson
2021	J	`jnl`	DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. Inf. Fusion Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, David E. Newby, Calum D. Gray, Gillian Macnaught, Tom J. MacGillivray
2021	J	`jnl`	Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. IEEE Trans. Medical Imaging Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2021	—	`conf`	Whole Heart Anatomical Refinement from CCTA Using Extrapolation and Parcellation. FIMH Hao Xu, Steven A. Niederer, Steven E. Williams, David E. Newby, Michelle C. Williams, Alistair A. Young
2019	J	`jnl`	Disentangle, align and fuse for multimodal and zero-shot image segmentation. CoRR Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	J	`jnl`	Disentangled representation learning in cardiac image analysis. Medical Image Anal. Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	J	`jnl`	Distance Oriented Particle Swarm Optimizer for Brain Image Registration. IEEE Access Chengjia Wang, Keith A. Goatman, James P. Boardman, Erin Beveridge, David E. Newby, Scott I. Semple
2019	J	`jnl`	Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, 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 J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang
2019	J	`jnl`	Factorised Representation Learning in Cardiac Image Analysis. CoRR Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	—	`conf`	Multimodal Cardiac Segmentation Using Disentangled Representation Learning. STACOM@MICCAI Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	—	`conf`	TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis. MLMIR@MICCAI Chengjia Wang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, Guang Yang, Calum D. Gray, David E. Newby, Gillian Macnaught, Tom J. MacGillivray
2018	J	`jnl`	A Distance Oriented Kalman Filter Particle Swarm Optimizer Applied to Multi-Modality Image Registration. CoRR Chengjia Wang, Keith A. Goatman, James P. Boardman, Erin Beveridge, David E. Newby, Scott Semple
2018	—	`conf`	A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data. STACOM@MICCAI Chengjia Wang, Tom J. MacGillivray, Gillian Macnaught, Guang Yang, David E. Newby
2018	J	`jnl`	A two-stage 3D Unet framework for multi-class segmentation on full resolution image. CoRR Chengjia Wang, Tom J. MacGillivray, Gillian Macnaught, Guang Yang, David E. Newby
2018	—	`conf`	Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation. MICCAI (2) Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2018	J	`jnl`	Factorised spatial representation learning: application in semi-supervised myocardial segmentation. CoRR Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2018	—	`conf`	Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks. SASHIMI@MICCAI Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom J. MacGillivray, David E. Newby
2018	J	`jnl`	Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks. CoRR Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom J. MacGillivray, David E. Newby
2017	—	`conf`	Multidimensional Assessments of Abdominal Aortic Aneurysms by Magnetic Resonance Against Ultrasound Diameter Measurements. MIUA Giorgos Papanastasiou, Víctor González-Castro, Calum D. Gray, R. O. Forsythe, Y. Sourgia-Koutraki, N. Mitchard, David E. Newby, S. I. K. Semple
2016	B	`conf`	Demons versus level-set motion registration for coronary 18F-sodium fluoride PET. Image Processing Mathieu Rubeaux, Nikhil Joshi, Marc R. Dweck, Alison Fletcher, Manish Motwani, Louise E. Thomson, Guido Germano, Damini Dey, Daniel S. Berman, David E. Newby, Piotr J. Slomka
2015	—	`conf`	Automatic multi-parametric MR registration method using mutual information based on adaptive asymmetric k-means binning. ISBI 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, Calvin Chin, Calum D. Gray, David E. Newby, Scott Semple