2017 (10)
- Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Ben Glocker, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert, Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images, Functional Imaging and Modelling of the Heart - 9th International Conference, FIMH 2017, Toronto, ON, Canada, June 11-13, 2017, Proceedings, pp.73–82, 2017
- Konstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker, Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings, pp.597–609, 2017
- Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert, A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings, pp.647–658, 2017
- Sofia Ira Ktena, Salim Arslan, Sarah Parisot, Daniel Rueckert, Exploring heritability of functional brain networks with inexact graph matching, 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, pp.354–357, 2017
- Andreas Schuh, Antonios Makropoulos, Robert Wright, Emma C. Robinson, Nora Tusor, Johannes Steinweg, Emer J. Hughes, Lucilio Cordero-Grande, Anthony N. Price, Jana Hutter, Joseph V. Hajnal, Daniel Rueckert, A deformable model for the reconstruction of the neonatal cortex, 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, pp.800–803, 2017
- Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker, Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth, CoRR, volume abs/1702.03407, 2017
- Benjamin Hou, Amir Alansary, Steven G. McDonagh, Daniel Rueckert, Ben Glocker, Bernhard Kainz, Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion, CoRR, volume abs/1702.08891, 2017
- Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert, A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction, CoRR, volume abs/1703.00555, 2017
- Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert, Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks, CoRR, volume abs/1703.02161, 2017
- Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrerro Moreno, Ben Glocker, Daniel Rueckert, Spectral Graph Convolutions for Population-based Disease Prediction, CoRR, volume abs/1703.03020, 2017
