2017 (10)
- Jonathan Passerat-Palmbach, Romain Reuillon, Mathieu Leclaire, Antonios Makropoulos, Emma C. Robinson, Sarah Parisot, Daniel Rueckert, Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System, Front. Neuroinform., volume 2017, 2017
- Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andrew P. King, Autoadaptive motion modelling for MR-based respiratory motion estimation, Medical Image Analysis, volume 35, pp.83–100, 2017
- Devis Peressutti, Matthew Sinclair, Wenjia Bai, Thomas Jackson, Jacobus Ruijsink, David Nordsletten, Liya Asner, Myrianthi Hadjicharalambous, Christopher Aldo Rinaldi, Daniel Rueckert, Andrew P. King, A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction, Medical Image Analysis, volume 35, pp.669–684, 2017
- Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker, Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation, Medical Image Analysis, volume 36, pp.61–78, 2017
- Tong Tong, Katherine R. Gray, Qinquan Gao, Liang Chen, Daniel Rueckert, Multi-modal classification of Alzheimer's disease using nonlinear graph fusion, Pattern Recognition, volume 63, pp.171–181, 2017
- Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker, Supervoxel classification forests for estimating pairwise image correspondences, Pattern Recognition, volume 63, pp.561–569, 2017
- Ricardo Guerrero, Christian Ledig, Alexander Schmidt-Richberg, Daniel Rueckert, Group-constrained manifold learning: Application to AD risk assessment, Pattern Recognition, volume 63, pp.570–582, 2017
- Tong Tong, Qinquan Gao, Ricardo Guerrero, Christian Ledig, Liang Chen, Daniel Rueckert, A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease, IEEE Trans. Biomed. Engineering, volume 64, pp.155–165, 2017
- Ozan Oktay, Wenjia Bai, Ricardo Guerrero, Martin Rajchl, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Mattias P. Heinrich, Ben Glocker, Daniel Rueckert, Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images, IEEE Trans. Med. Imaging, volume 36, pp.332–342, 2017
- Martin Rajchl, Matthew C. H. Lee, Ozan Oktay, Konstantinos Kamnitsas, Jonathan Passerat-Palmbach, Wenjia Bai, Mellisa Damodaram, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz, Daniel Rueckert, DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks, IEEE Trans. Med. Imaging, volume 36, pp.674–683, 2017
