What is the dimension of citation space? - James R. Clough; Tim S. Evans (CoRR, 2014)

Time & Citation Networks. - James R. Clough; Tim S. Evans (ISSI, 2015)

Transitive reduction of citation networks. - James R. Clough; Jamie Gollings; Tamar V. Loach; Tim S. Evans (J. Complex Networks, 2015)

Time and Citation Networks. - James R. Clough; Tim S. Evans (CoRR, 2015)

Embedding Graphs in Lorentzian Spacetime. - James R. Clough; Tim S. Evans (CoRR, 2016)

Neural Embeddings of Graphs in Hyperbolic Space. - Benjamin Paul Chamberlain; James R. Clough; Marc Peter Deisenroth (CoRR, 2017)

PET-MR respiratory signal estimation using semi-supervised manifold alignment. - Daniel R. Balfour; James R. Clough; Xin Chen 003; Martin A. Belzunce; Claudia Prieto; Paul K. Marsden; Andrew J. Reader; Andrew P. King (ISBI, 2018)

MRI slice stacking using manifold alignment and wave kernel signatures. - James R. Clough; Daniel R. Balfour; Paul K. Marsden; Claudia Prieto; Andrew J. Reader; Andrew P. King (ISBI, 2018)

Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning. - James R. Clough; Daniel R. Balfour; Claudia Prieto; Andrew J. Reader; Paul K. Marsden; Andrew P. King (MLCN/DLF/iMIMIC@MICCAI, 2018)

Left-Ventricle Quantification Using Residual U-Net. - Eric Kerfoot; James R. Clough; Ilkay Öksüz; Jack Lee; Andrew P. King; Julia A. Schnabel (STACOM@MICCAI, 2018)

Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data. - Eric Kerfoot; Esther Puyol-Antón; Bram Ruijsink; James R. Clough; Andrew P. King; Julia A. Schnabel (RAMBO+BIA+TIA@MICCAI, 2018)

Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction. - Ilkay Öksüz; James R. Clough; Aurélien Bustin; Gastão Cruz; Claudia Prieto; René M. Botnar; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (MLMIR@MICCAI, 2018)

Mechanically Powered Motion Imaging Phantoms: Proof of Concept. - Alberto Gómez 002; Cornelia Schmitz; Markus Henningsson; James Housden; Yohan Noh; Veronika A. Zimmer; James R. Clough; Ilkay Öksüz; Nicolas Toussaint; Andrew P. King; Julia A. Schnabel (EMBC, 2019)

Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology. - James R. Clough; Ilkay Öksüz; Nicholas Byrne; Julia A. Schnabel; Andrew P. King (IPMI, 2019)

Magnetic Resonance Fingerprinting Using Recurrent Neural Networks. - Ilkay Öksüz; Gastão Cruz; James R. Clough; Aurélien Bustin; Nicolo Fuin; René M. Botnar; Claudia Prieto; Andrew P. King; Julia A. Schnabel (ISBI, 2019)

Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR. - Nick Byrne; James R. Clough; Isra Valverde; Giovanni Montana; Andrew P. King (SUSI/PIPPI@MICCAI, 2019)

Global and Local Interpretability for Cardiac MRI Classification. - James R. Clough; Ilkay Öksüz; Esther Puyol-Antón; Bram Ruijsink; Andrew P. King; Julia A. Schnabel (MICCAI (4), 2019)

Image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging. - Alberto Gómez 002; Veronika A. Zimmer; Nicolas Toussaint; Robert Wright; James R. Clough; Bishesh Khanal; Milou P. M. van Poppel; Emily Skelton; Jackie Matthews; Julia A. Schnabel (MLMIR@MICCAI, 2019)

Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Andrew P. King; Julia A. Schnabel (MICCAI (4), 2019)

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. - Esther Puyol-Antón; Bram Ruijsink; James R. Clough; Ilkay Öksüz; Daniel Rueckert; Reza Razavi; Andrew P. King (STACOM@MICCAI, 2019)

Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies. - Siti Nurbaya Yaakub; Colm J. McGinnity; James R. Clough; Eric Kerfoot; Nadine Girard; Eric Guedj; Alexander Hammers (SASHIMI@MICCAI, 2019)

Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging. - Tong Zhang 017; Laurence H. Jackson; Alena Uus; James R. Clough; Lisa Story; Mary A. Rutherford; Joseph V. Hajnal; Maria Deprez (MLMIR@MICCAI, 2019)

High-quality segmentation of low quality cardiac MR images using k-space artefact correction. - Ilkay Öksüz; James R. Clough; Wenjia Bai; Bram Ruijsink; Esther Puyol-Antón; Gastão Cruz; Claudia Prieto; Andrew P. King; Julia A. Schnabel (MIDL, 2019)

Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space. - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Andrew P. King; Julia A. Schnabel (CoRR, 2019)

dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance. - Jo Schlemper; Ilkay Öksüz; James R. Clough; Jinming Duan 001; Andrew P. King; Julia A. Schnabel; Joseph V. Hajnal; Daniel Rueckert (CoRR, 2019)

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. - Ilkay Öksüz; Bram Ruijsink; Esther Puyol-Antón; James R. Clough; Gastão Cruz; Aurélien Bustin; Claudia Prieto; René M. Botnar; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (Medical Image Anal., 2019)

A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI. - Nick Byrne; James R. Clough; Giovanni Montana; Andrew P. King (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. - Esther Puyol-Antón; Chen Chen 042; James R. Clough; Bram Ruijsink; Baldeep S. Sidhu; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Daniel Rueckert; Christopher A. Rinaldi; Andrew P. King (MICCAI (1), 2020)

Weighted Manifold Alignment using Wave Kernel Signatures for Aligning Medical Image Datasets. - James R. Clough; Daniel R. Balfour; Gastão Cruz; Paul K. Marsden; Claudia Prieto; Andrew J. Reader; Andrew P. King (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Andrew P. King; Julia A. Schnabel (IEEE Trans. Medical Imaging, 2020)

A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR. - Nick Byrne; James R. Clough; Isra Valverde; Giovanni Montana; Andrew P. King (CoRR, 2021)

Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data. - Wufeng Xue; Jiahui Li 005; Zhiqiang Hu; Eric Kerfoot; James R. Clough; Ilkay Öksüz; Hao Xu; Vicente Grau; Fumin Guo; Matthew Ng; Xiang Li 001; Quanzheng Li; et al. (IEEE J. Biomed. Health Informatics, 2021)

A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. - James R. Clough; Nicholas Byrne; Ilkay Öksüz; Veronika A. Zimmer; Julia A. Schnabel; Andrew P. King (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR. - Nick Byrne; James R. Clough; Israel Valverde; Giovanni Montana; Andrew P. King (IEEE Trans. Medical Imaging, 2023)