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ORCIDPei Zhang 0002
Person information
- affiliation: University of North Carolina at Chapel Hill, Department of Radiology, Chapel Hill, NC, USA
- affiliation (PhD 2011): University of Manchester, UK
Other persons with the same name
- Pei Zhang — disambiguation page
- Pei Zhang 0001
![[0000-0002-8512-1615]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8512-1615")
— University of Michigan, Ann Arbor, MI, USA (and 2 more) - Pei Zhang 0003 — Beijing University of Posts and Telecommunications, Institute of Network Technology, Beijing, China (and 2 more)
- Pei Zhang 0004 — Xi'an Jiaotong University, Department of Applied Physics, Xi'an, China
- Pei Zhang 0005 — University of Southampton, UK
- Pei Zhang 0006 — Xi'an Technological University, China
- Pei Zhang 0007 — Beijing University of Posts and Telecommunications, School of Computer Science, Beijing, China
- Pei Zhang 0008 — National University of Defense Technology, School of Computer, Changsha, China
- Pei Zhang 0009 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
- Pei Zhang 0010 — Beijing Jiaotong University, Hanergy School of Renewable Power, Beijing, China (and 3 more)
- Pei Zhang 0011 — Alibaba Group Inc., Hangzhou, China
- Pei Zhang 0012 — Beijing University of Technology, Signal & Information Processing Laboratory, Beijing, China
- Pei Zhang 0013 — CSIP research team @ ICube (UMR-CNRS 7357), Strasbourg , France (and 1 more)
- Pei Zhang 0014 — China University of Mining and Technology, School of Information and Control Engineering, Xuzhou, China
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2010 – 2019
- 2017
[j7]Yan Wang, Guangkai Ma, Le An, Feng Shi, Pei Zhang, David S. Lalush, Xi Wu, Yi-Fei Pu, Jiliu Zhou, Dinggang Shen:
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI. IEEE Trans. Biomed. Eng. 64(3): 569-579 (2017)- 2016
- [j6]Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen:
A dynamic tree-based registration could handle possible large deformations among MR brain images. Comput. Medical Imaging Graph. 52: 1-7 (2016) - [j5]Geng Chen, Pei Zhang, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Denoising magnetic resonance images using collaborative non-local means. Neurocomputing 177: 215-227 (2016) - [j4]Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen:
Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation. IEEE Trans. Image Process. 25(7): 3303-3315 (2016) - [j3]Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Jun Lian, Dinggang Shen:
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model. IEEE Trans. Medical Imaging 35(1): 174-183 (2016) - 2015
- [c12]Geng Chen, Pei Zhang, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Collaborative non-local means denoising of magnetic resonance images. ISBI 2015: 564-567 - [c11]Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen:
A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation. Patch-MI@MICCAI 2015: 1-9 - [c10]Geng Chen, Pei Zhang, Ke Li, Chong-Yaw Wee, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Block-Based Statistics for Robust Non-parametric Morphometry. Patch-MI@MICCAI 2015: 62-70 - [c9]Yan Wang, Pei Zhang, Le An, Guangkai Ma, Jiayin Kang, Xi Wu, Jiliu Zhou, David S. Lalush, Weili Lin, Dinggang Shen:
Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation. MLMI 2015: 127-135 - [c8]Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen:
Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation. MCV@MICCAI 2015: 137-145 - [c7]Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Dinggang Shen:
Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data. MLMI 2015: 321-329 - 2014
- [j2]Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large deformation diffeomorphic registration of diffusion-weighted imaging data. Medical Image Anal. 18(8): 1290-1298 (2014) - 2013
- [c6]Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization. MICCAI (2) 2013: 27-34 - [c5]Pei Zhang, Chong-Yaw Wee, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding. MICCAI (1) 2013: 292-299 - 2012
- [j1]Pei Zhang, Timothy F. Cootes:
Automatic Construction of Parts+Geometry Models for Initializing Groupwise Registration. IEEE Trans. Medical Imaging 31(2): 341-358 (2012) - [c4]Pei Zhang, Pew-Thian Yap, Dinggang Shen, Timothy F. Cootes:
Initialising Groupwise Non-rigid Registration Using Multiple Parts+Geometry Models. MICCAI (3) 2012: 156-163 - [c3]Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images. MICCAI (2) 2012: 171-178 - 2011
- [c2]Pei Zhang, Timothy F. Cootes:
Automatic Part Selection for Groupwise Registration. IPMI 2011: 636-647 - 2010
- [c1]Pei Zhang, Steve A. Adeshina, Timothy F. Cootes:
Automatic Learning Sparse Correspondences for Initialising Groupwise Registration. MICCAI (2) 2010: 635-642
Coauthor Index
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