World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
10855
World Ranking
4354
National Ranking
2035

Research.com Recognitions

  • 2006 - IEEE Fellow For contributions to biomedical applications of magnetic resonance imaging.

Overview

Zhi-Pei Liang is a researcher affiliated with the University of Illinois at Urbana-Champaign in the United States. Their work primarily focuses on the field of Medicine, with a significant number of publications related to Radiology, Nuclear Medicine and Imaging. Their research portfolio includes topics such as Advanced MRI Techniques and Applications, Medical Imaging Techniques and Applications, and Advanced Neuroimaging Techniques and Applications.

The scientist has contributed extensively to several specialized research areas including Advanced NMR Techniques and Applications, Atomic and Subatomic Physics Research, and NMR spectroscopy and applications. Their work also covers Medical Image Segmentation Techniques.

Frequent collaboration appears with several co-authors throughout their career. Notable collaborators include Yudu Li, Yibo Zhao, Rong Guo, Ziyu Meng, and Yao Li. These partnerships reflect recurring scholarly activity involving Magnetic Resonance in Medicine and related imaging techniques.

Many of Liang's publications have appeared across reputed venues, with multiple works published in:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Magnetic Resonance in Medicine
  • IEEE Transactions on Biomedical Engineering
  • IEEE Transactions on Medical Imaging
  • Alzheimer's & Dementia

Some of their recent published papers include:

  • Fast high-resolution metabolic imaging of acute stroke with 3D magnetic resonance spectroscopy, 2020, Brain
  • Machine Learning-Enabled High-Resolution Dynamic Deuterium MR Spectroscopic Imaging, 2021, IEEE Transactions on Medical Imaging
  • Simultaneous QSM and metabolic imaging of the brain using SPICE: Further improvements in data acquisition and processing, 2020, Magnetic Resonance in Medicine
  • Accelerating T2mapping of the brain by integrating deep learning priors with low-rank and sparse modeling, 2020, Magnetic Resonance in Medicine
  • DeepSENSE: Learning coil sensitivity functions for SENSE reconstruction using deep learning, 2021, Magnetic Resonance in Medicine

Zhi-Pei Liang was awarded the IEEE Fellow honor in 2006 for contributions to biomedical applications of magnetic resonance imaging, highlighting their role in advancing this field.

Best Publications

  • SPATIOTEMPORAL IMAGINGWITH PARTIALLY SEPARABLE FUNCTIONS

    Zhi-Pei Liang

  • Accelerating advanced MRI reconstructions on GPUs

    S. S. Stone;J. P. Haldar;S. C. Tsao;W. m. W. Hwu

  • Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm.

    Diego Hernando;P. Kellman;J. P. Haldar;Z.-P. Liang

  • Image Reconstruction From Highly Undersampled $( {f k}, {t})$ -Space Data With Joint Partial Separability and Sparsity Constraints

    Bo Zhao;J. P. Haldar;A. G. Christodoulou;Zhi-Pei Liang

  • Compressed-Sensing MRI With Random Encoding

    J P Haldar;D Hernando;Zhi-Pei Liang

  • An efficient method for dynamic magnetic resonance imaging

    Zhi-Pei Liang;P.C. Lauterbur

  • Principles of magnetic resonance imaging

    Zhi-Pei Liang;Paul C. Lauterbur

  • Joint estimation of water/fat images and field inhomogeneity map

    Diego Hernando;J. P. Haldar;B. P. Sutton;Jingfei Ma

  • Spatiotemporal imaging with partially separable functions: A matrix recovery approach

    Justin P. Haldar;Zhi-Pei Liang

  • A generalized series approach to MR spectroscopic imaging

    Z.-P. Liang;P.C. Lauterbur

  • Accelerated MR parameter mapping with low-rank and sparsity constraints.

    Bo Zhao;Wenmiao Lu;T. Kevin Hitchens;Fan Lam

  • Parameter estimation of finite mixtures using the EM algorithm and information criteria with application to medical image processing

    Z. Liang;R.J. Jaszczak;R.E. Coleman

  • Denoising MR Spectroscopic Imaging Data With Low-Rank Approximations

    H. M. Nguyen;Xi Peng;M. N. Do;Zhi-Pei Liang

  • Chemical shift–based water/fat separation: A comparison of signal models

    Diego Hernando;Zhi Pei Liang;Peter Kellman

  • A subspace approach to high-resolution spectroscopic imaging

    Fan Lam;Zhi Pei Liang

  • Spatiotemporal Imaging with Partially Separable Functions

    Zhi-Pei Liang

  • Low rank matrix recovery for real-time cardiac MRI

    Bo Zhao;Justin P. Haldar;Cornelius Brinegar;Zhi-Pei Liang

  • Accelerating advanced mri reconstructions on gpus

    Samuel S. Stone;Justin P. Haldar;Stephanie C. Tsao;Wen-mei W. Hwu

  • Multiecho dixon fat and water separation method for detecting fibrofatty infiltration in the myocardium.

    Peter Kellman;Diego Hernando;Saurabh Shah;Sven Zuehlsdorff

  • A model-based method for phase unwrapping

    Zhi-Pei Liang

  • Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors

    Jingfei He;Qiegen Liu;Anthony G. Christodoulou;Chao Ma

  • Designing multichannel, multidimensional, arbitrary flip angle RF pulses using an optimal control approach.

    Dan Xu;Kevin F. King;Yudong Zhu;Graeme C. McKinnon

Frequent Co-Authors

Justin P. Haldar
Justin P. Haldar University of Southern California
Bradley P. Sutton
Bradley P. Sutton University of Illinois at Urbana-Champaign
Leslie Ying
Leslie Ying University at Buffalo, State University of New York
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Wen-mei W. Hwu
Wen-mei W. Hwu University of Illinois at Urbana-Champaign
Xi Peng
Xi Peng Sichuan University
Minh N. Do
Minh N. Do University of Illinois at Urbana-Champaign
Neal J. Cohen
Neal J. Cohen University of Illinois at Urbana-Champaign
Arthur F. Kramer
Arthur F. Kramer Northeastern University
Marie T. Banich
Marie T. Banich University of Colorado Boulder

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