James R. Clough

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 45

Top Topics

Citation Networks

Persistent Homology

Top Venues

Publications

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) (2023)
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) (2022)
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) (2021)
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 (2021)
Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. MICCAI (1) (2020)
Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. CoRR (2020)
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 (2020)
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) (2020)
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)
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) (2020)
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)
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 (2019)
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 (2019)
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 (2019)
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)
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 (2019)
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 (2019)
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)
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 (2019)
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 (2019)
Alberto Gómez, Veronika A. Zimmer, Nicolas Toussaint, Robert Wright, James R. Clough, Bishesh Khanal, Milou 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)
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)
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)
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)
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 (2019)
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 (2019)
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)
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)
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)
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)
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 (2019)
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 (2019)
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)
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)
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)
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 (2018)
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)
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 (2018)
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)
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)
Benjamin Paul Chamberlain, James R. Clough, Marc Peter Deisenroth
Neural Embeddings of Graphs in Hyperbolic Space. CoRR (2017)
James R. Clough, Tim S. Evans
Embedding Graphs in Lorentzian Spacetime. CoRR (2016)
James R. Clough, Jamie Gollings, Tamar V. Loach, Tim S. Evans
Transitive reduction of citation networks. J. Complex Networks 3 (2) (2015)
James R. Clough, Tim S. Evans
Time & Citation Networks. ISSI (2015)
James R. Clough, Tim S. Evans
Time and Citation Networks. CoRR (2015)
James R. Clough, Tim S. Evans
What is the dimension of citation space? CoRR (2014)
James R. Clough, Jamie Gollings, Tamar V. Loach, Tim S. Evans
Transitive Reduction of Citation Networks. CoRR (2013)