Publications 2012


Journal publications


  • A. Serag, P. Aljabar, G. Ball, S.J. Counsell, J.P. Boardman, M.A. Rutherford, A.D. Edwards, J.V. Hajnal, D. Rueckert. Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression. NeuroImage, 59(1): 2255-2265, 2012.
  • F. van der Lijn, B. F. J. Verhaaren, M. A. Ikram, S. Klein, M. de Bruijne, H. A. Vrooman, M. W. Vernooij, A. Hammers, D. Rueckert, A. van der Lugt, M. M. B. Breteler and W. J. Niessen. Automated measurement of local white matter lesion volume. NeuroImage, 59(4): 3901-3908, 2012.
  • M. Vounou, E. Janousova, R. Wolz, J. L. Stein, P. M. Thompson, D. Rueckert and G. Montana. Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease. NeuroImage, 60(1): 700-716) 2012.
  • K. R. Gray, R. Wolz, R. A. Heckemann, P. Aljabar, A. Hammers and D. Rueckert. Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease. NeuroImage, 60(1): 221-229, 2012.
  • M. Hu, G. Penney, M. Figl, P. Edwards, F. Bello, R. Casula, D. Rueckert, David Hawkes. Reconstruction of a 3D surface from video that is robust to missing data and outliers: application to minimally invasive surgery using stereo and mono endoscopes. Medical Image Analysis, 16(3): 597-611, 2012.
  • N. M. Dhutia, G. D. Cole, K. Willson, D. Rueckert, K. H. Parker, A. D. Hughes, D. P. Francis. A new automated system to identify a consistent sampling position to make tissue Doppler and transmitral Doppler measurements of E, E′ and E/E′. International Journal of Cardiology, 155(3): 394-399, 2012.
  • R. Wolz, P. Aljabar, J.V. Hajnal, J. Lotjonen and D. Rueckert. Nonlinear Dimensionality Reduction Combining MR Imaging with Non-Imaging Information. Medical Image Analysis, 16(4): 819–830, 2012.
  • S. Vos, I. v Rossum, L. Burns, D. Knol, P. Scheltens, H. Soininen, L.-O. Wahlund, H. Hampel, M. Tsolaki, L. Minthon, R. Handels, G. L'Italien, W. van der Flier, P. Aalten, C. Teunissen, F. Barkhof, K. Blennow, R. Wolz, D. Rueckert, F. Verhey and P. J. Visser. Test sequence of CSF and MRI biomarkers for prediction of AD in subjects with MCI. Neurobiology of Aging, 33(10): 2272-2281, 2012.
  • G. Sandbach, S. Zafeiriou, M. Pantic and D. Rueckert. Recognition of 3D facial expression dynamics. Image and Vision Computing, 30(10): 762–773, 2012.
  • W. Shi, X. Zhuang, H. Wang, D. Luong, C. Tobon-Gomez, P. Edwards, K. Rhode, R. Razavi, S. Ourselin and D. Rueckert. A comprehensive cardiac motion estimation framework using both untagged and 3D tagged MR images based on non-rigid registration. IEEE Transactions on Medical Imaging, 31(6):1263-1275, 2012.
  • H. Soininen, Y. Liu, D. Rueckert and J. Lotjonen. Hippocampal Atrophy in Alzheimer’s Disease. Neurodegenerative Disease Management, 2(2): 197-209, 2012.
  • S. Keihaninejad, R. A. Heckemann, I. S. Gousias, J. V. Hajnal, J. S. Duncan, P. Aljabar, D. Rueckert and A. Hammers. Classification and Lateralization of Temporal Lobe Epilepsies with and without Hippocampal Atrophy Based on Whole-Brain Automatic MRI Segmentation. PLoS One, 7(4): e33096, 2012.
  • D. P. O'Regan, W. Shi, B. Ariff, A. J. Baksi, G. Durighel, D. Rueckert, S. A. Cook. Remodeling after acute myocardial infarction: mapping ventricular dilatation using three dimensional CMR image registration. Journal of Cardiovascular Magnetic Resonance, 14:41, 2012.
  • I. S. Gousias, A. D. Edwards, M. A. Rutherford, S. J. Counsell, J. V. Hajnal, D. Rueckert and A. Hammers. Magnetic resonance imaging of the newborn brain: Manual segmentation of labelled atlases in term-born and preterm infants. NeuroImage, 62(3): 1499-1509, 2012.


Conference publications


  • S. Pszczolkowski, L. Pizarro, R. Guerrero, and D. Rueckert. Nonrigid free-form registration using landmark-based statistical deformation models. SPIE Medical Imaging 2012: Image Processing, Proc. 8314, 2012.
  • K. K. Bhatia, A. N. Price, J. V. Hajnal, and D. Rueckert. Localised manifold learning for cardiac image analysis. SPIE Medical Imaging 2012: Image Processing, Proc. 8314, 2012.
  • K. P. Tung, W. Shi, L. Pizarro, H. Tsujioka, H. Wang, R. Guerrero, R. De Silva, P. E. Edwards, and D. Rueckert Automatic detection of coronary stent struts in intravascular OCT imaging. SPIE Medical Imaging 2012: Computer Aided Diagnosis, Proc. 8315, 2012.
  • C. Ledig, R. Wolz, P. Aljabar, J. Lotjonen, R. A. Heckemann, A. Hammers and D. Rueckert. Multi-Class Brain Segmentation using Atlas Propagation and EM-based refinement. IEEE International Symposium on Biomedical Imaging (ISBI), 896-899, 2012.
  • J. Lotjonen, R. Wolz, J. Koikkalainen, V. Manna, C. Ledig, L. Thurfjell, R. Lundqvist, G. Waldemar, H. Soininen and D. Rueckert. Hippocampal Atrophy Rate using an Expectation Maximisation Classifier with a Disease-Specific Prior. IEEE International Symposium on Biomedical Imaging (ISBI), 1164-1167, 2012.
  • R. Guerrero, L. Pizarro, R. Wolz, D. Rueckert. Landmark Localisation in Brain MR Images using Feature Point Descriptors based on 3D local self-similarities. IEEE International Symposium on Biomedical Imaging (ISBI), 1535-1538, 2012.
  • A. Serag, P. Aljabar, S. J. Counsell, J. P. Boardman, J. V. Hajnal and D. Rueckert. LISA: Longitudinal Image registration via Spatio-temporal Atlases. IEEE International Symposium on Biomedical Imaging (ISBI), 334-337, 2012.
  • C. R. Donoghue, A. Rao, A. M. J. Bull and D. Rueckert: Robust Global Registration through Geodesic Paths on an Empirical Manifold with Knee MRI from the Osteoarthritis Initiative (OAI). Workshop on Biomedical Image Registration (WBIR), 1-10, 2012.
  • C. R. Donoghue, A. Rao, L. Pizarro, A. M. J. Bull and D. Rueckert: Fast and accurate global geodesic registrations using knee MRI from the Osteoarthritis Initiative. CVPR Workshop on Medical Computer Vision, 50-57, 2012.
  • R. Wolz, C. Chu, K. Misawa, K. Mori and D. Rueckert: Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases. Medical Image Computing and Computer Assisted Interventions (MICCAI), 10-17, 2012.
  • J. Caballero, D. Rueckert and J. V. Hajnal: Dictionary Learning and Time Sparsity in Dynamic MRI. Medical Image Computing and Computer Assisted Interventions (MICCAI), 256-263, 2012.
  • K. K. Bhatia, A. Rao, A. N. Price, R. Wolz, J. V. Hajnal and D. Rueckert: Hierarchical Manifold Learning. Medical Image Computing and Computer Assisted Interventions (MICCAI), 512-519, 2012.
  • M. J. Cardoso, R. Wolz, M. Modat, N. C. Fox, D. Rueckert and S. Ourselin: Geodesic Information Flows. Medical Image Computing and Computer Assisted Interventions (MICCAI), 262-270, 2012.
  • W. Shi, X. Zhuang, L. Pizarro, W. Bai, H. Wang, K.-P. Tung, P. J. Edwards and D. Rueckert: Registration Using Sparse Free-Form Deformations. Medical Image Computing and Computer Assisted Interventions (MICCAI), 659-666, 2012.
  • S. Pszczólkowski, L. Pizarro, D. P. O'Regan and D. Rueckert: Gradient Projection Learning for Parametric Nonrigid Registration. Workshop on Machine Learning in Medical Imaging (MLMI), 226-233, 2012.
  • R. Guerrero, C. R. Donoghue, L. Pizarro and D. Rueckert: Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative. Workshop on Machine Learning in Medical Imaging (MLMI), 218-225, 2012.
  • A. Serag, I. S. Gousias, A. Makropoulos, P. Aljabar, J. V. Hajnal, J. P. Boardman, S. J. Counsell and D. Rueckert: Unsupervised Learning of Shape Complexity: Application to Brain Development. Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data (STIA), 88-99, 2012.