| Segmentation of MR images via Discriminative Dictionary Learning and Sparse Coding: Application to Hippocampus Labeling T Tong, R Wolz, P Coupé, JV Hajnal, D Rueckert NeuroImage, 2013 | 184 | 2013 |
| Image Super-Resolution Using Dense Skip Connections T Tong, G Li, X Liu, Q Gao IEEE International Conference on Computer Vision (ICCV), 4799-4807, 2017 | 176 | 2017 |
| A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation with Registration Refinement: Application to Cardiac MR Images W Bai, W Shi, DP O'Regan, T Tong, H Wang, S Jamil-Copley, NS Peters, ... IEEE Trans Med Imaging, 1-1, 2013 | 176 | 2013 |
| Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ... NeuroImage 111, 562-579, 2015 | 174 | 2015 |
| Multiple instance learning for classification of dementia in brain MRI T Tong, R Wolz, Q Gao, R Guerrero, JV Hajnal, D Rueckert Medical Image Analysis 18 (5), 808–818, 2014 | 84 | 2014 |
| Discriminative dictionary learning for abdominal multi-organ segmentation T Tong, R Wolz, Z Wang, Q Gao, K Misawa, M Fujiwara, K Mori, JV Hajnal, ... Medical image analysis 23 (1), 92-104, 2015 | 82 | 2015 |
| Differential diagnosis of neurodegenerative diseases using structural MRI data J Koikkalainen, H Rhodius-Meester, A Tolonen, F Barkhof, B Tijms, ... NeuroImage: Clinical 11, 435-449, 2016 | 51 | 2016 |
| Multi-modal classification of Alzheimer's disease using nonlinear graph fusion T Tong, K Gray, Q Gao, L Chen, D Rueckert, ... Pattern recognition 63, 171-181, 2017 | 43 | 2017 |
| A Novel Grading Biomarker for the Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's Disease T Tong, Q Gao, R Guerrero, C Ledig, L Chen, D Rueckert IEEE Transactions on Biomedical Engineering, 2016 | 32 | 2016 |
| Segmentation of Brain MR Images via Sparse Patch Representation T Tong, R Wolz, JV Hajnal, D Rueckert MICCAI2012 Workshop -- Sparsity Techniques in Medical Imaging (STMI), 2012 | 24 | 2012 |
| Instantiated mixed effects modeling of Alzheimer's disease markers R Guerrero, A Schmidt-Richberg, C Ledig, T Tong, R Wolz, D Rueckert, ... NeuroImage 142, 113-125, 2016 | 20 | 2016 |
| Supervoxel Classification Forests for Estimating Pairwise Image Correspondences F Kanavati, T Tong, K Misawa, M Fujiwara, K Mori, D Rueckert, B Glocker Pattern Recognition 63, 561–569, 2017 | 19 | 2017 |
| Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registration T Tong, I Aganj, T Ge, JR Polimeni, B Fischl Neuroimage 158, 346-355, 2017 | 17 | 2017 |
| Multi-atlas segmentation using partially annotated data: methods and annotation strategies LM Koch, M Rajchl, W Bai, CF Baumgartner, T Tong, ... IEEE transactions on pattern analysis and machine intelligence 40 (7), 1683-1696, 2017 | 15 | 2017 |
| Identification of cerebral small vessel disease using multiple instance learning L Chen, T Tong, CP Ho, R Patel, D Cohen, AC Dawson, O Halse, ... International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 14 | 2015 |
| Multi-atlas segmentation as a graph labelling problem: Application to partially annotated atlas data LM Koch, M Rajchl, T Tong, J Passerat-Palmbach, P Aljabar, D Rueckert International Conference on Information Processing in Medical Imaging, 221-232, 2015 | 14 | 2015 |
| Spatially aware patch-based segmentation (SAPS): an alternative patch-based segmentation framework Z Wang, R Wolz, T Tong, D Rueckert Medical Computer Vision. Recognition Techniques and Applications in Medical …, 2012 | 14 | 2012 |
| Blood vessel enhancement via multi-dictionary and sparse coding: Application to retinal vessel enhancing B Chen, Y Chen, Z Shao, T Tong, L Luo Neurocomputing 200, 110-117, 2016 | 13 | 2016 |
| Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting T Tong, C Ledig, R Guerrero, A Schuh, J Koikkalainen, A Tolonen, ... NeuroImage: Clinical 15, 613-624, 2017 | 9 | 2017 |
| Convolutional neural networks-based MRI image analysis for the alzheimer’s disease prediction from mild cognitive impairment W Lin, T Tong, Q Gao, D Guo, X Du, Y Yang, G Guo, M Xiao, M Du, X Qu, ... Frontiers in neuroscience 12, 2018 | 8 | 2018 |
Daniel RueckertProfessor of Visual Information Processing, Imperial College LondonVerified email at imperial.ac.uk