Pei Zhang

Affiliations:
  • University of North Carolina at Chapel Hill, Department of Radiology, Chapel Hill, NC, USA
  • University of Manchester, UK (PhD 2011)


According to our database1, Pei Zhang authored at least 19 papers between 2010 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2017
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.
IEEE Trans. Biomed. Eng., 2017

2016
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model.
IEEE Trans. Medical Imaging, 2016

Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation.
IEEE Trans. Image Process., 2016

Denoising magnetic resonance images using collaborative non-local means.
Neurocomputing, 2016

A dynamic tree-based registration could handle possible large deformations among MR brain images.
Comput. Medical Imaging Graph., 2016

2015
Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Block-Based Statistics for Robust Non-parametric Morphometry.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Collaborative non-local means denoising of magnetic resonance images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Large deformation diffeomorphic registration of diffusion-weighted imaging data.
Medical Image Anal., 2014

2013
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Automatic Construction of Parts+Geometry Models for Initializing Groupwise Registration.
IEEE Trans. Medical Imaging, 2012

Initialising Groupwise Non-rigid Registration Using Multiple Parts+Geometry Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011
Automatic Part Selection for Groupwise Registration.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
Automatic Learning Sparse Correspondences for Initialising Groupwise Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010


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