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Pei Zhang
Pei Zhang
Intel Labs China
Verified email at intel.com - Homepage
Title
Cited by
Cited by
Year
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
2762015
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
882016
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
732016
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
622016
Denoising magnetic resonance images using collaborative non-local means
G Chen, P Zhang, Y Wu, D Shen, PT Yap
Neurocomputing 177, 215-227, 2016
522016
Automatic Construction of Parts+Geometry Models for Initialising Groupwise Registration
P Zhang, T Cootes
Medical Imaging, IEEE Transactions on 31 (2), 341-358, 2012
282012
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
212014
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
202013
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
202010
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
172016
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
112013
Automatic part selection for groupwise registration
P Zhang, T Cootes
Information Processing in Medical Imaging, 636-647, 2011
112011
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
92015
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
72012
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
62015
International Workshop on Patch-based Techniques in Medical Imaging
G Chen, P Zhang, K Li, CY Wee, Y Wu, D Shen, PT Yap
52015
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
52015
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
32016
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
22016
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
22015
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