| 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 | 571 | 2018 |
| 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 | 219 | 2018 |
| 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 | 57 | 2017 |
| 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 | 43 | 2018 |
| 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 | 37 | 2016 |
| 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 | 30 | 2018 |
| 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 | 26 | 2019 |
| 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 | 24 | 2018 |
| 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 | 10 | 2016 |
| Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets L Zhang, M Pereañez, C Bowles, S Piechnik, S Neubauer, S Petersen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 4 | 2019 |
| Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks L Zhang, M Pereañez, C Bowles, SK Piechnik, S Neubauer, SE Petersen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 2 | 2019 |
| 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 | 2 | 2015 |
| Medical image synthesis in the diagnosis and study of neurodegenerative diseases C Bowles Imperial College London, 2018 | | 2018 |
