James R. Clough
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Neural embeddings of graphs in hyperbolic space
BP Chamberlain, J Clough, MP Deisenroth
arXiv preprint arXiv:1705.10359, 2017
Transitive reduction of citation networks
JR Clough, J Gollings, TV Loach, TS Evans
Journal of Complex Networks 3 (2), 189-203, 2015
What is the dimension of citation space?
JR Clough, TS Evans
Physica A: Statistical Mechanics and its Applications 448, 235-247, 2016
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
A topological loss function for deep-learning based image segmentation using persistent homology
J Clough, N Byrne, I Oksuz, VA Zimmer, JA Schnabel, A King
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
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
Embedding graphs in Lorentzian spacetime
JR Clough, TS Evans
PLoS One, 2017
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
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
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, ...
International Workshop on Machine Learning for Medical Image Reconstruction …, 2018
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
Left-ventricle quantification using residual U-Net
E Kerfoot, J Clough, I Oksuz, J Lee, AP King, JA Schnabel
International Workshop on Statistical Atlases and Computational Models of …, 2018
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
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
MRI slice stacking using manifold alignment and wave kernel signatures
JR Clough, DR Balfour, PK Marsden, C Prieto, AJ Reader, AP King
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Image reconstruction in a manifold of image patches: Application to whole-fetus ultrasound imaging
A Gomez, V Zimmer, N Toussaint, R Wright, JR Clough, B Khanal, ...
International Workshop on Machine Learning for Medical Image Reconstruction …, 2019
Assessing the impact of blood pressure on cardiac function using interpretable biomarkers and variational autoencoders
E Puyol-Antón, B Ruijsink, JR Clough, I Oksuz, D Rueckert, R Razavi, ...
International Workshop on Statistical Atlases and Computational Models of …, 2019
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
Automated CNN-based reconstruction of short-axis cardiac MR sequence from real-time image data
E Kerfoot, EP Anton, B Ruijsink, J Clough, AP King, JA Schnabel
Image Analysis for Moving Organ, Breast, and Thoracic Images, 32-41, 2018
Time and citation networks
JR Clough, TS Evans
arXiv preprint arXiv:1507.01388, 2015
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