J. Clough

发表

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning

René M. Botnar, D. Rueckert, J. Schnabel, 2018, Medical Image Anal..

Deep Learning for Magnetic Resonance Fingerprinting

A. King, G. Cruz, J. Clough, 2019 .

Artefact detection in video endoscopy using retinanet and focal loss function

J. Schnabel, J. Clough, I. Oksuz, 2019 .

Respiration resolved imaging with continuous stable state 2D acquisition using linear frequency SWEEP

Shaihan J. Malik, Paddy J. Slator, Laurence H. Jackson, 2019, Magnetic resonance in medicine.

Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation

J. Schnabel, C. Prieto, A. King, 2019, IEEE Transactions on Medical Imaging.

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction pdf

Daniel Rueckert, Chen Chen, Bradley Porter, 2020, MICCAI.

A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR pdf

Giovanni Montana, Isra Valverde, Andrew P King, 2021, ArXiv.

A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR

G. Montana, A. King, J. Clough, 2021, IEEE Transactions on Medical Imaging.

Neural Embeddings of Graphs in Hyperbolic Space pdf

Marc Peter Deisenroth, James R. Clough, Benjamin Paul Chamberlain, 2017, ArXiv.

Time and Citation Networks pdf

Tim S. Evans, James R. Clough, T. Evans, 2015, ArXiv.

Time & Citation Networks

Tim S. Evans, James R. Clough, T. Evans, 2015, ISSI.

What is the dimension of citation space? pdf

Tim S. Evans, James R. Clough, T. Evans, 2014, ArXiv.

Embedding graphs in Lorentzian spacetime

Tim S. Evans, James R. Clough, T. Evans, 2016, PloS one.

Left-Ventricle Quantification Using Residual U-Net

Eric Kerfoot, Ilkay Öksüz, Julia A. Schnabel, 2018, STACOM@MICCAI.

Global and Local Interpretability for Cardiac MRI Classification pdf

Ilkay Öksüz, Julia A. Schnabel, James R. Clough, 2019, MICCAI.

MRI slice stacking using manifold alignment and wave kernel signatures

Andrew J. Reader, Claudia Prieto, James R. Clough, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Transitive Reduction of Citation Networks

Tim S. Evans, James R. Clough, Tamar V. Loach, 2013, J. Complex Networks.

Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space

Daniel Rueckert, Aurélien Bustin, Ilkay Öksüz, 2019, ArXiv.

A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography.

James Clough, Thomas Küstner, Claudia Prieto, 2020, Magnetic resonance imaging.

Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies

Eric Kerfoot, Alexander Hammers, James R. Clough, 2019, SASHIMI@MICCAI.

A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology

Ilkay Öksüz, Julia A. Schnabel, Veronika A. Zimmer, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data

Georgios Tziritas, Eric Kerfoot, Jin Ma, 2021, IEEE Journal of Biomedical and Health Informatics.

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders pdf

Daniel Rueckert, Ilkay Öksüz, James R. Clough, 2019, STACOM@MICCAI.

Explicit topological priors for deep-learning based image segmentation using persistent homology pdf

Ilkay Öksüz, Julia A. Schnabel, James R. Clough, 2019, IPMI.

dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance pdf

Daniel Rueckert, Joseph V. Hajnal, Jinming Duan, 2019, ArXiv.

Weighted Manifold Alignment using Wave Kernel Signatures for Aligning Medical Image Datasets

Andrew J. Reader, Claudia Prieto, James R. Clough, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Magnetic Resonance Fingerprinting Using Recurrent Neural Networks

René M. Botnar, Aurélien Bustin, Ilkay Öksüz, 2018, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

High-quality segmentation of low quality cardiac MR images using k-space artefact correction

Wenjia Bai, Ilkay Öksüz, Julia A. Schnabel, 2018, MIDL.

Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction

René M. Botnar, Daniel Rueckert, Aurélien Bustin, 2018, MLMIR@MICCAI.

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction

D. Rueckert, Chen Chen, C. Rinaldi, 2020, MICCAI.

Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging pdf

Mary A. Rutherford, Joseph V. Hajnal, James R. Clough, 2019, MLMIR@MICCAI.

A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI

G. Montana, A. King, J. Clough, 2020, M&Ms and EMIDEC/STACOM@MICCAI.

Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation

J. Schnabel, C. Prieto, A. King, 2019, IEEE Transactions on Medical Imaging.

Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space

D. Rueckert, J. Schnabel, C. Prieto, 2019, MICCAI.

Weighted Manifold Alignment using Wave Kernel Signatures for Aligning Medical Image Datasets

P. Marsden, C. Prieto, A. Reader, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.