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ORCIDJames R. Clough
Person information
- affiliation (current): King's College London, School of Biomedical Engineering and Imaging Sciences, UK
- affiliation (former): Imperial College London, Centre for Complexity Science, UK
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2020 – today
- 2023
[j7]Nick Byrne
, James R. Clough, Israel Valverde, Giovanni Montana, Andrew P. King:
A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR. IEEE Trans. Medical Imaging 42(1): 3-14 (2023)- 2022
- [j6]James R. Clough, Nicholas Byrne, Ilkay Öksüz, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King:
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8766-8778 (2022) - 2021
- [j5]Wufeng Xue, Jiahui Li, Zhiqiang Hu, Eric Kerfoot, James R. Clough, Ilkay Öksüz, Hao Xu, Vicente Grau, Fumin Guo, Matthew Ng, Xiang Li, Quanzheng Li, Lihong Liu, Jin Ma, Elias Grinias, Georgios Tziritas, Wenjun Yan, Angélica Atehortúa, Mireille Garreau, Yeonggul Jang, Alejandro Debus, Enzo Ferrante, Guanyu Yang, Tiancong Hua, Shuo Li:
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data. IEEE J. Biomed. Health Informatics 25(9): 3541-3553 (2021) - [i20]Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King:
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR. CoRR abs/2107.12689 (2021) - 2020
- [j4]James R. Clough, Daniel R. Balfour, Gastão Cruz, Paul K. Marsden, Claudia Prieto, Andrew J. Reader, Andrew P. King:
Weighted Manifold Alignment using Wave Kernel Signatures for Aligning Medical Image Datasets. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 988-997 (2020) - [j3]Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. IEEE Trans. Medical Imaging 39(12): 4001-4010 (2020) - [c20]Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King:
A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI. M&Ms and EMIDEC/STACOM@MICCAI 2020: 3-13 - [c19]Esther Puyol-Antón, Chen Chen, 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:
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. MICCAI (1) 2020: 284-293 - [i19]Esther Puyol-Antón, Chen Chen, 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:
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. CoRR abs/2006.13811 (2020) - [i18]Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King:
A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI. CoRR abs/2008.09585 (2020)
2010 – 2019
- 2019
- [j2]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:
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. Medical Image Anal. 55: 136-147 (2019) - [c18]Alberto Gómez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Öksüz, Nicolas Toussaint, Andrew P. King, Julia A. Schnabel:
Mechanically Powered Motion Imaging Phantoms: Proof of Concept. EMBC 2019: 2723-2726 - [c17]James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King:
Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology. IPMI 2019: 16-28 - [c16]Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
Magnetic Resonance Fingerprinting Using Recurrent Neural Networks. ISBI 2019: 1537-1540 - [c15]Tong Zhang, Laurence H. Jackson, Alena Uus, James R. Clough, Lisa Story, Mary A. Rutherford, Joseph V. Hajnal, Maria Deprez:
Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging. MLMIR@MICCAI 2019: 16-24 - [c14]Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King:
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. STACOM@MICCAI 2019: 22-30 - [c13]Siti Nurbaya Yaakub, Colm J. McGinnity, James R. Clough, Eric Kerfoot, Nadine Girard, Eric Guedj, Alexander Hammers:
Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies. SASHIMI@MICCAI 2019: 42-51 - [c12]Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King:
Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR. SUSI/PIPPI@MICCAI 2019: 181-188 - [c11]Alberto Gómez, Veronika A. Zimmer, Nicolas Toussaint, Robert Wright, James R. Clough, Bishesh Khanal, Milou P. M. van Poppel, Emily Skelton, Jackie Matthews, Julia A. Schnabel:
Image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging. MLMIR@MICCAI 2019: 226-235 - [c10]James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel:
Global and Local Interpretability for Cardiac MRI Classification. MICCAI (4) 2019: 656-664 - [c9]Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel:
Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. MICCAI (4) 2019: 695-703 - [c8]Ilkay Öksüz, James R. Clough, Wenjia Bai, Bram Ruijsink, Esther Puyol-Antón, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
High-quality segmentation of low quality cardiac MR images using k-space artefact correction. MIDL 2019: 380-389 - [i17]James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King:
Explicit topological priors for deep-learning based image segmentation using persistent homology. CoRR abs/1901.10244 (2019) - [i16]Alberto Gómez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Öksüz, Nicolas Toussaint, Andrew P. King, Julia A. Schnabel:
Mechanically Powered Motion Imaging Phantoms: Proof of Concept. CoRR abs/1905.07198 (2019) - [i15]Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel:
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space. CoRR abs/1906.05695 (2019) - [i14]James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel:
Global and Local Interpretability for Cardiac MRI Classification. CoRR abs/1906.06188 (2019) - [i13]Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King:
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. CoRR abs/1908.04538 (2019) - [i12]Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King:
Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR. CoRR abs/1908.08870 (2019) - [i11]Tong Zhang, Laurence H. Jackson, Alena Uus, James R. Clough, Lisa Story, Mary A. Rutherford, Joseph V. Hajnal, Maria Deprez:
Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging. CoRR abs/1908.10842 (2019) - [i10]Jo Schlemper, Ilkay Öksüz, James R. Clough, Jinming Duan, Andrew P. King, Julia A. Schnabel, Joseph V. Hajnal, Daniel Rueckert:
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance. CoRR abs/1909.10995 (2019) - [i9]James R. Clough, Ilkay Öksüz, Nicholas Byrne, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King:
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology. CoRR abs/1910.01877 (2019) - [i8]Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. CoRR abs/1910.05370 (2019) - 2018
- [c7]James R. Clough, Daniel R. Balfour, Paul K. Marsden, Claudia Prieto, Andrew J. Reader, Andrew P. King:
MRI slice stacking using manifold alignment and wave kernel signatures. ISBI 2018: 319-323 - [c6]Daniel R. Balfour, James R. Clough, Xin Chen, Martin A. Belzunce, Claudia Prieto, Paul K. Marsden, Andrew J. Reader, Andrew P. King:
PET-MR respiratory signal estimation using semi-supervised manifold alignment. ISBI 2018: 599-603 - [c5]Ilkay Öksüz, James R. Clough, Aurélien Bustin, Gastão Cruz, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King:
Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction. MLMIR@MICCAI 2018: 21-29 - [c4]Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Andrew P. King, Julia A. Schnabel:
Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data. RAMBO+BIA+TIA@MICCAI 2018: 32-41 - [c3]James R. Clough, Daniel R. Balfour, Claudia Prieto, Andrew J. Reader, Paul K. Marsden, Andrew P. King:
Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning. MLCN/DLF/iMIMIC@MICCAI 2018: 61-69 - [c2]Eric Kerfoot, James R. Clough, Ilkay Öksüz, Jack Lee, Andrew P. King, Julia A. Schnabel:
Left-Ventricle Quantification Using Residual U-Net. STACOM@MICCAI 2018: 371-380 - [i7]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:
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. CoRR abs/1810.12185 (2018) - [i6]Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
Magnetic Resonance Fingerprinting using Recurrent Neural Networks. CoRR abs/1812.08155 (2018) - 2017
- [i5]Benjamin Paul Chamberlain, James R. Clough, Marc Peter Deisenroth:
Neural Embeddings of Graphs in Hyperbolic Space. CoRR abs/1705.10359 (2017) - 2016
- [i4]James R. Clough, Tim S. Evans:
Embedding Graphs in Lorentzian Spacetime. CoRR abs/1602.03103 (2016) - 2015
- [j1]James R. Clough, Jamie Gollings, Tamar V. Loach, Tim S. Evans:
Transitive reduction of citation networks. J. Complex Networks 3(2): 189-203 (2015) - [c1]James R. Clough, Tim S. Evans:
Time & Citation Networks. ISSI 2015 - [i3]James R. Clough, Tim S. Evans:
Time and Citation Networks. CoRR abs/1507.01388 (2015) - 2014
- [i2]James R. Clough, Tim S. Evans:
What is the dimension of citation space? CoRR abs/1408.1274 (2014) - 2013
- [i1]James R. Clough, Jamie Gollings, Tamar V. Loach, Tim S. Evans:
Transitive Reduction of Citation Networks. CoRR abs/1310.8224 (2013)
Coauthor Index
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