Christopher Bowles

According to our database, Christopher Bowles authored at least 13 papers between 2011 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks.

Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets.

Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata.

Rahman Attar, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Medical image synthesis in the diagnosis and study of neurodegenerative diseases.

Christopher Bowles

PhD thesis, 2018

A large margin algorithm for automated segmentation of white matter hyperintensity.

Chen Qin, Ricardo Guerrero, Christopher Bowles, Liang Chen, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert

Pattern Recognit., 2018

GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation.

Christopher Bowles, Roger N. Gunn, Alexander Hammers, Daniel Rueckert

CoRR, 2018

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks.

Christopher Bowles, Liang Chen, Ricardo Guerrero, Paul Bentley, Roger N. Gunn, Alexander Hammers, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert

CoRR, 2018

Modelling the progression of Alzheimer's disease in MRI using generative adversarial networks.

Christopher Bowles, Roger N. Gunn, Alexander Hammers, Daniel Rueckert

Proceedings of the Medical Imaging 2018: Image Processing, 2018

2016

A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation.

Chen Qin, Ricardo Guerrero Moreno, Christopher Bowles, Christian Ledig, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Ben Glocker, Daniel Rueckert

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation.

Christopher Bowles, Chen Qin, Christian Ledig, Ricardo Guerrero, Roger N. Gunn, Alexander Hammers, Eleni Sakka, David Alexander Dickie, Maria del C. Valdés Hernández, Natalie A. Royle, Joanna M. Wardlaw, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Frederik Barkhof, Philip Scheltens, Daniel Rueckert

Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

2015

Machine learning for the automatic localisation of foetal body parts in cine-MRI scans.

Christopher Bowles, Niamh C. Nowlan, Tayyib T. A. Hayat, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014

Weighted tree kernels for sequence analysis.

Christopher Bowles, James Hogan

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2011

Crusta: A new virtual globe for real-time visualization of sub-meter digital topography at planetary scales.

Tony Bernardin, Eric S. Cowgill, Oliver Kreylos, Christopher Bowles, Peter Gold, Bernd Hamann, Louise H. Kellogg

Comput. Geosci., 2011