| Estimating CT image from MRI data using structured random forest and auto-context model T Huynh, Y Gao, J Kang, L Wang, P Zhang, J Lian, D Shen IEEE transactions on medical imaging 35 (1), 174-183, 2015 | 290 | 2015 |
| Semisupervised tripled dictionary learning for standard-dose PET image prediction using low-dose PET and multimodal MRI Y Wang, G Ma, L An, F Shi, P Zhang, DS Lalush, X Wu, Y Pu, J Zhou, ... IEEE transactions on biomedical engineering 64 (3), 569-579, 2016 | 92 | 2016 |
| Predicting standard-dose PET image from low-dose PET and multimodal MR images using mapping-based sparse representation Y Wang, P Zhang, L An, G Ma, J Kang, F Shi, X Wu, J Zhou, DS Lalush, ... Physics in Medicine & Biology 61 (2), 791, 2016 | 78 | 2016 |
| Multi-level canonical correlation analysis for standard-dose PET image estimation L An, P Zhang, E Adeli, Y Wang, G Ma, F Shi, DS Lalush, W Lin, D Shen IEEE Transactions on Image Processing 25 (7), 3303-3315, 2016 | 63 | 2016 |
| Denoising magnetic resonance images using collaborative non-local means G Chen, P Zhang, Y Wu, D Shen, PT Yap Neurocomputing 177, 215-227, 2016 | 53 | 2016 |
| Automatic Construction of Parts+Geometry Models for Initialising Groupwise Registration P Zhang, T Cootes Medical Imaging, IEEE Transactions on 31 (2), 341-358, 2012 | 29 | 2012 |
| Large deformation diffeomorphic registration of diffusion-weighted imaging data P Zhang, M Niethammer, D Shen, PT Yap Medical image analysis 18 (8), 1290-1298, 2014 | 21 | 2014 |
| Large deformation image classification using generalized locality-constrained linear coding P Zhang, CY Wee, M Niethammer, D Shen, PT Yap Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 20 | 2013 |
| Automatic learning sparse correspondences for initialising groupwise registration P Zhang, S Adeshina, T Cootes Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010, 635-642, 2010 | 20 | 2010 |
| Improving estimation of fiber orientations in diffusion MRI using inter-subject information sharing G Chen, P Zhang, K Li, CY Wee, Y Wu, D Shen, PT Yap Scientific reports 6 (1), 37847, 2016 | 18 | 2016 |
| Large deformation diffeomorphic registration of diffusion-weighted images with explicit orientation optimization P Zhang, M Niethammer, D Shen, PT Yap International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 11 | 2013 |
| Automatic part selection for groupwise registration P Zhang, T Cootes Information Processing in Medical Imaging, 636-647, 2011 | 11 | 2011 |
| Collaborative non-local means denoising of magnetic resonance images G Chen, P Zhang, Y Wu, D Shen, PT Yap 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 564-567, 2015 | 9 | 2015 |
| Large deformation diffeomorphic registration of diffusion-weighted images P Zhang, M Niethammer, D Shen, PT Yap Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012 | 7 | 2012 |
| Block-based statistics for robust non-parametric morphometry G Chen, P Zhang, K Li, CY Wee, Y Wu, D Shen, PT Yap Patch-Based Techniques in Medical Imaging: First International Workshop …, 2015 | 6 | 2015 |
| International Workshop on Patch-based Techniques in Medical Imaging G Chen, P Zhang, K Li, CY Wee, Y Wu, D Shen, PT Yap | 5 | 2015 |
| Multi-source information gain for random forest: an application to CT image prediction from MRI data T Huynh, Y Gao, J Kang, L Wang, P Zhang, D Shen, ... Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015 …, 2015 | 5 | 2015 |
| A dynamic tree-based registration could handle possible large deformations among MR brain images P Zhang, G Wu, Y Gao, PT Yap, D Shen Computerized Medical Imaging and Graphics 52, 1-7, 2016 | 3 | 2016 |
| Angular resolution enhancement of diffusion MRI data using inter-subject information transfer G Chen, P Zhang, K Li, CY Wee, Y Wu, D Shen, PT Yap Computational Diffusion MRI: MICCAI Workshop, Munich, Germany, October 9th …, 2016 | 2 | 2016 |
| Predicting standard-dose PET image from low-dose PET and multimodal MR images using mapping-based sparse representation Y Wang, P Zhang, L An, G Ma, J Kang, X Wu, J Zhou, DS Lalush, W Lin, ... Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015 …, 2015 | 2 | 2015 |
Tim CootesProfessor of Computer Vision, Imaging Sciences/Computer Science/BII, The University of ManchesterEmail verificata su manchester.ac.uk