James R. Clough
James R. Clough
CTO, Robin AI
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A topological loss function for deep-learning based image segmentation using persistent homology
JR Clough, N Byrne, I Oksuz, VA Zimmer, JA Schnabel, AP King
IEEE transactions on pattern analysis and machine intelligence 44 (12), 8766 …, 2020
Neural embeddings of graphs in hyperbolic space
BP Chamberlain, J Clough, MP Deisenroth
arXiv preprint arXiv:1705.10359, 2017
Left-ventricle quantification using residual U-Net
E Kerfoot, J Clough, I Oksuz, J Lee, AP King, JA Schnabel
Statistical Atlases and Computational Models of the Heart. Atrial …, 2019
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
I Oksuz, B Ruijsink, E Puyol-Antón, JR Clough, G Cruz, A Bustin, C Prieto, ...
Medical image analysis 55, 136-147, 2019
Transitive reduction of citation networks
JR Clough, J Gollings, TV Loach, TS Evans
Journal of Complex Networks 3 (2), 189-203, 2015
Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology
JR Clough, I Oksuz, N Byrne, JA Schnabel, AP King
Information Processing in Medical Imaging: 26th International Conference …, 2019
Deep learning-based detection and correction of cardiac MR motion artefacts during reconstruction for high-quality segmentation
I Oksuz, JR Clough, B Ruijsink, EP Anton, A Bustin, G Cruz, C Prieto, ...
IEEE Transactions on Medical Imaging 39 (12), 4001-4010, 2020
Global and local interpretability for cardiac MRI classification
JR Clough, I Oksuz, E Puyol-Antón, B Ruijsink, AP King, JA Schnabel
International Conference on Medical Image Computing and Computer-Assisted …, 2019
What is the dimension of citation space?
JR Clough, TS Evans
Physica A: Statistical Mechanics and its Applications 448, 235-247, 2016
Magnetic resonance fingerprinting using recurrent neural networks
I Oksuz, G Cruz, J Clough, A Bustin, N Fuin, RM Botnar, C Prieto, AP King, ...
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography
N Fuin, A Bustin, T Küstner, I Oksuz, J Clough, AP King, JA Schnabel, ...
Magnetic resonance imaging 70, 155-167, 2020
Interpretable deep models for cardiac resynchronisation therapy response prediction
E Puyol-Antón, C Chen, JR Clough, B Ruijsink, BS Sidhu, J Gould, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Embedding graphs in Lorentzian spacetime
JR Clough, TS Evans
PLoS One, 2017
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space
I Oksuz, J Clough, B Ruijsink, E Puyol-Anton, A Bustin, G Cruz, C Prieto, ...
arXiv preprint arXiv:1906.05695, 2019
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance
J Schlemper, I Oksuz, JR Clough, J Duan, AP King, JA Schnabel, ...
arXiv preprint arXiv:1909.10995, 2019
Cardiac MR motion artefact correction from k-space using deep learning-based reconstruction
I Oksuz, J Clough, A Bustin, G Cruz, C Prieto, R Botnar, D Rueckert, ...
Machine Learning for Medical Image Reconstruction: First International …, 2018
A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI
N Byrne, JR Clough, G Montana, AP King
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021
Pseudo-normal PET synthesis with generative adversarial networks for localising hypometabolism in epilepsies
SN Yaakub, CJ McGinnity, JR Clough, E Kerfoot, N Girard, E Guedj, ...
International Workshop on Simulation and Synthesis in Medical Imaging, 42-51, 2019
A persistent homology-based topological loss for CNN-based multiclass segmentation of CMR
N Byrne, JR Clough, I Valverde, G Montana, AP King
IEEE transactions on medical imaging 42 (1), 3-14, 2022
High-quality segmentation of low quality cardiac MR images using k-space artefact correction
I Oksuz, J Clough, W Bai, B Ruijsink, E Puyol-Antón, G Cruz, C Prieto, ...
International Conference on Medical Imaging with Deep Learning, 380-389, 2019
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