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Christopher Bowles
Christopher Bowles
Image Metrics
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Title
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Cited by
Year
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
C Bowles, L Chen, R Guerrero, P Bentley, R Gunn, A Hammers, ...
arXiv preprint arXiv:1810.10863, 2018
5422018
White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks
R Guerrero, C Qin, O Oktay, C Bowles, L Chen, R Joules, R Wolz, ...
NeuroImage: Clinical 17, 918-934, 2018
2132018
Brain lesion segmentation through image synthesis and outlier detection
C Bowles, C Qin, R Guerrero, R Gunn, A Hammers, DA Dickie, ...
NeuroImage: Clinical 16, 643-658, 2017
572017
Modelling the progression of Alzheimer's disease in MRI using generative adversarial networks
C Bowles, R Gunn, A Hammers, D Rueckert
Medical Imaging 2018: Image Processing 10574, 105741K, 2018
432018
Pseudo-healthy image synthesis for white matter lesion segmentation
C Bowles, C Qin, C Ledig, R Guerrero, R Gunn, A Hammers, E Sakka, ...
International Workshop on Simulation and Synthesis in Medical Imaging, 87-96, 2016
342016
GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation
C Bowles, R Gunn, A Hammers, D Rueckert
arXiv preprint arXiv:1811.10669, 2018
292018
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata
R Attar, M Pereanez, C Bowles, SK Piechnik, S Neubauer, SE Petersen, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
252019
A large margin algorithm for automated segmentation of white matter hyperintensity
C Qin, R Guerrero, C Bowles, L Chen, DA Dickie, MC Valdes-Hernandez, ...
Pattern Recognition 77, 150-159, 2018
232018
A semi-supervised large margin algorithm for white matter hyperintensity segmentation
C Qin, RG Moreno, C Bowles, C Ledig, P Scheltens, F Barkhof, ...
International Workshop on Machine Learning in Medical Imaging, 104-112, 2016
102016
Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets
L Zhang, M Pereaņez, C Bowles, S Piechnik, S Neubauer, S Petersen, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
42019
Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks
L Zhang, M Pereaņez, C Bowles, SK Piechnik, S Neubauer, SE Petersen, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
22019
Machine learning for the automatic localisation of foetal body parts in cine-MRI scans
C Bowles, NC Nowlan, TTA Hayat, C Malamateniou, M Rutherford, ...
Medical Imaging 2015: Image Processing 9413, 94130N, 2015
22015
Medical image synthesis in the diagnosis and study of neurodegenerative diseases
C Bowles
Imperial College London, 2018
2018
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