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ORCIDChristopher Bowles
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Books and Theses
- 2018
[b1]Christopher Bowles:
Medical image synthesis in the diagnosis and study of neurodegenerative diseases. Imperial College London, UK, 2018
Journal Articles
- 2018
- [j2]Chen Qin
, Ricardo Guerrero, Christopher Bowles, Liang Chen, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert:
A large margin algorithm for automated segmentation of white matter hyperintensity. Pattern Recognit. 77: 150-159 (2018) - 2011
- [j1]Tony Bernardin, Eric S. Cowgill, Oliver Kreylos, Christopher Bowles, Peter Gold, Bernd Hamann, Louise H. Kellogg:
Crusta: A new virtual globe for real-time visualization of sub-meter digital topography at planetary scales. Comput. Geosci. 37(1): 75-85 (2011)
Conference and Workshop Papers
- 2019
- [c8]Rahman Attar, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata. MICCAI (2) 2019: 586-594 - [c7]Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets. MICCAI (2) 2019: 651-659 - [c6]Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks. MICCAI (2) 2019: 660-668 - 2018
- [c5]Christopher Bowles, Roger N. Gunn, Alexander Hammers, Daniel Rueckert:
Modelling the progression of Alzheimer's disease in MRI using generative adversarial networks. Image Processing 2018: 105741K - 2016
- [c4]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:
Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. SASHIMI@MICCAI 2016: 87-96 - [c3]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:
A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation. MLMI@MICCAI 2016: 104-112 - 2015
- [c2]Christopher Bowles, Niamh C. Nowlan, Tayyib T. A. Hayat, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz:
Machine learning for the automatic localisation of foetal body parts in cine-MRI scans. Image Processing 2015: 94130N - 2014
- [c1]Christopher Bowles, James Hogan:
Weighted tree kernels for sequence analysis. ESANN 2014
Informal and Other Publications
- 2019
- [i3]Rahman Attar, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata. CoRR abs/1907.01913 (2019) - 2018
- [i2]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:
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks. CoRR abs/1810.10863 (2018) - [i1]Christopher Bowles, Roger N. Gunn, Alexander Hammers, Daniel Rueckert:
GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation. CoRR abs/1811.10669 (2018)
Coauthor Index
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