Publications 2013


Journal publications


  • K. R. Gray, P. Aljabar, R. A. Heckemann, A. Hammers and D. Rueckert. Random forest-based similarity measures for multi-modal classification of Alzheimer's disease. NeuroImage, 65:167-175, 2013.
  • C. Tobon-Gomez, M. De Craene, K. McLeod, L. Tautz, W. Shi, A. Hennemuth, A. Prakosa, H. Wang, G. Carr-White, S. Kapetanakis, A. Lutz, V. Rasche, T. Schaeffter, C. Butakoff, O. Friman, T. Mansi, M. Sermesant, X. Zhuang, S. Ourselin, H-O. Peitgen, X. Pennec, R. Razavi, D. Rueckert, A.F. Frangi, K.S. Rhode, Benchmarking framework for myocardial tracking and deformation algorithms: An open access database, Medical Image Analysis, 17(6): 632-648, 2013.
  • J. Xi, P. Lamata, S. Niederer, S. Land, W. Shi, X. Zhuang, S. Ourselin, S. G. Duckett, A. K. Shetty, A. Rinaldi, D. Rueckert, R. Razavi and N. Smith. The estimation of patient-specific cardiac diastolic functions from clinical measurements. Medical Image Analysis, 17(2): 133-146, 2013.
  • Q. Gao, P.-L. Chang, D. Rueckert, S. M. Ali, D. Cohen, P. Pratt, E. Mayer, G.-Z. Yang, A. Darzi, P. Edwards. Modeling of the bony pelvis from MRI using a multi-atlas AE-SDM for registration and tracking in image-guided robotic prostatectomy. Computerized Medical Imaging and Graphics, 37(2): 183-194, 2013.
  • L. Clerx, I. A. van Rossum, L. Burns, D. L. Knol, P. Scheltens, F. R. Verhey, P. Aalten, P. Lapuerta, L. van de Pol, R. van Schijndel, R. de Jong, F. Barkhof, R. Wolz, D. Rueckert, M. Bocchetta, M. Tsolaki, F. Nobili, L.-O. Wahlund, L. Minthon, L. Frölich, H. Hampel, H. Soininen, P. J. Visser. Measurements of medial temporal lobe atrophy for prediction of AD in subjects with MCI, Neurobiology of Aging, 34(8): 2003-2013, 2013.
  • K. Antila, J. Lötjönen, L. Thurfjell, J. Laine, M. Massimini, D. Rueckert, R. Zubarev, M. Oresic, M. van Gils, J. Mattila, A. Simonsen, G. Waldemar and H. Soininen, The PredictAD project: development of novel biomarkers and analysis software for early diagnosis of the Alzheimer’s disease. Interface Focus, 3(2):20120072 2013.
  • A. S. Pandit, E. Robinson, P. Aljabar, G. Ball, I. S. Gousias, Z. Wang, J. V. Hajnal, D. Rueckert, S. J. Counsell, G. Montana and A. D. Edwards. Whole-Brain Mapping of Structural Connectivity in Infants Reveals Altered Connection Strength Associated with Growth and Preterm Birth. Cerebral Cortex, doi:10.1093/cercor/bht086, 2013.
  • G. Ball, J. P. Boardman, P. Aljabar, A. Pandit, T. Arichi, N. Merchant, D. Rueckert, A. D. Edwards and S. J. Counsell. The influence of preterm birth on the developing thalamocortical connectome. Cortex, 49(6): 1711-1721, 2013.
  • T. Tong, R. Wolz, P. Coupé, J. V. Hajnal and D. Rueckert. Segmentation of MR images via Discriminative Dictionary Learning and Sparse Coding: Application to Hippocampus Labeling, NeuroImage, 76(1): 11–23, 2013.
  • W. Shi, M. Jantsch, P. Aljabar, L. Pizarro, W. Bai, H. Wang, D. O’Regan, X. Zhuang and D. Rueckert. Temporal sparse free-form deformations. Medical Image Analysis, 17(7): 779–789, 2013.
  • W. Bai, W. Shi, D. O'Regan, T. Tong, H. Wang, S. Jamil-Copley, N. Peters and D. Rueckert. A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation with Registration Refinement: Application to Cardiac MR Images. IEEE Transactions on Medical Imaging, 32(7): 1302–1315, 2013.
  • L.C. Malcolme-Lawes, C. Juli, R. Karim, W. Bai, R. Quest, P.B. Lim, S. Jamil-Copley, P. Kojodjojo, B. Ariff, D.W. Davies, D. Rueckert, D.P. Francis, R. Hunter, D. Jones, R. Boubertakh, S.E. Petersen, R. Schilling, P. Kanagaratnam and N.S. Peters. Automated analysis of atrial late gadolinium enhancement imaging that correlates with endocardial voltage and clinical outcomes: A 2-center study. Heart Rhythm, 10(8): 1184-1191, 2013.
  • I. S. Gousias, A. Hammers, S. J. Counsell, L. Srinivasan, M. A. Rutherford, R. A. Heckemann, J. V. Hajnal, D. Rueckert and A. D. Edwards. Magnetic resonance imaging of the newborn brain: automatic segmentation of brain images into 50 anatomical regions. PLoS One 8(4):e5999, 2013.
  • G. Ball, J. P. Boardman, T. Arichi, N. Merchant, D. Rueckert, A. D. Edwards, S. J. Counsell. Testing the Sensitivity of Tract-Based Spatial Statistics to Simulated Treatment Effects in Preterm Neonates. PLoS ONE 8(7): e67706, 2013.
  • R. Wolz, C. Chu, K. Misawa, M. Fujiwara, K. Mori and D. Rueckert. Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation. IEEE Transactions on Medical Imaging, 32(9): 1723-1730, 2013.
  • F. Deligianni, G. Varoquaux, B. Thirion, D. J. Sharp, C. Ledig, R. Leech and D. Rueckert. A framework for inter-subject prediction of functional connectivity from structural networks. IEEE Transactions on Medical Imaging, 32(12): 2200-2214, 2013.
  • R. Karim, R. J. Housden, M. Balasubramaniam, Z. Chen, D. Perry, A. Uddin, Y. Al-Beyatti, E. Plakhi, P. Acheampong, S. Obom, A. Hennemuth8, Y. Lu, W. Bai, W. Shi, Y. Gao, H.-O. Peitgen, P. Radau, R. Razavi, A. Tannenbaum, D. Rueckert, J. Cates, T. Schaeffter, D. Peters, R. MacLeod and K. Rhode. Evaluation of current algorithms for segmentation of scar tissue from late Gadolinium enhancement MR images of the left atrium: an open-access grand challenge. Journal of Cardiovascular Magnetic Resonance, 15:105, 2013.


Conference publications


  • C. Chu, M. Oda, T. Kitasaka, K. Misawa, M. Fujiwara, Y. Hayashi, R. Wolz, D. Rueckert and K. Mori. Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic map. SPIE Medical Imaging, 86693Y, 2013.
  • C. Ledig, R. A. Heckemann, A. Hammers and D. Rueckert. Improving whole-brain segmentations through incorporating regional image intensity statistics. SPIE Medical Imaging, 86691M, 2013.
  • H. Wang, W. Shi, X. Zhuang, X. Wu, S. Ourselin, P. J. Edwards and D. Rueckert. Landmark detection and coupled patch registration for cardiac motion tracking, SPIE Medical Imaging, 86690J, 2013.
  • R. Guerrero and D. Rueckert. Data-specific feature point descriptor matching using dictionary learning and graphical models. SPIE Medical Imaging, 866921, 2013.
  • X. Zhuang, W. Shi, H. Wang, D. Rueckert and S. Ourselin. Computation on shape manifold for atlas generation: application to whole heart segmentation of cardiac MRI. SPIE Medical Imaging, 866941, 2013.
  • X. Wu, J. Housden, N. Varma, M Ying-Liang Ma, D. Rueckert, and K. Rhode. Catheter tracking in 3D echocardiographic sequences based on tracking in 2D X-ray sequences for cardiac catheterization interventions. IEEE International Symposium on Biomedical Imaging (ISBI), 25-28, 2013.
  • M. Jantsch, A. Price, J. V. Hajnal and D. Rueckert. 3D Cardiac Cine Reconstruction from Free-Breathing 2D Real-Time Image Acquisitions Using Iterative Motion Correction. IEEE International Symposium on Biomedical Imaging (ISBI), 812-815, 2013.
  • K.-P. Tung, W. Bai, W. Shi, H. Wang, T. Tong, R. De Silva, P. Edwards and D. Rueckert. Multi-atlas based neointima segmentation in intravascular coronary OCT. IEEE International Symposium on Biomedical Imaging (ISBI), 1280 – 1283, 2013.
  • R. Chabiniok, J. Wong, D. Giese, D. Nordsletten, W. Shi, G. Greil, D. Rueckert, R. Razavi, T. Schaeffter and N. Smith: Flow Analysis in Cardiac Chambers Combining Phase Contrast, 3D Tagged and Cine MRI. Functional Imaging of the Heart (FIMH), 60-369, 2013.
  • C. F. Baumgartner, C. Kolbitsch, J. McClelland, D. Rueckert and A. P. King: Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion. Information Processing in Medical Imaging (IPMI), 232-243, 2013.
  • L. Liu, W. Shi, D. Rueckert, M. Hu, S, Ourselin and X. Zhuang: Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA. Medical Image Computing and Computer Assisted Interventions (MICCAI), 542-549, 2013.
  • M. Schirmer, G. Ball, S. J. Counsell, A. D. Edwards, D. Rueckert, J. V. Hajnal and P. Aljabar: Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches. Medical Image Computing and Computer Assisted Interventions (MICCAI), 574-581, 2013.
  • K. Keraudren, V. Kyriakopoulou, M. A. Rutherford, J. V. Hajnal and D. Rueckert: Localisation of the Brain in Fetal MRI Using Bundled SIFT Features. Medical Image Computing and Computer Assisted Interventions (MICCAI), 582-589, 2013.
  • N. Weiss, D, Rueckert and A. Rao: Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding. Medical Image Computing and Computer Assisted Interventions (MICCAI), 735-742, 2013.
  • C. Chu, M. Oda, T. Kitasaka, K. Misawa, M. Fujiwara, Y. Hayashi, Y. Nimura, D. Rueckert and K. Mori: Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images. Medical Image Computing and Computer Assisted Interventions (MICCAI), 165-172, 2013.
  • T. Tong, R. Wolz, Q. Gao, J. V. Hajnal and D. Rueckert: Multiple Instance Learning for Classification of Dementia in Brain MRI. Medical Image Computing and Computer Assisted Interventions (MICCAI), 599-606, 2013.
  • W. Shi, J. Caballero, C. Ledig, X. Zhuang, W. Bai, K. K. Bhatia, A. M. Simoes Monteiro de Marvao, T. Dawes, D. P. O'Regan and D. Rueckert: Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. Medical Image Computing and Computer Assisted Interventions (MICCAI), 9-16, 2013.
  • Z. Wang, C. R. Donoghue and D. Rueckert: Patch-Based Segmentation without Registration: Application to Knee MRI. Workshop on Machine Learning in Medical Imaging (MLMI) 98-105, 2013.