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Computer Science

D-Index
43
Citations
11758
World Ranking
7808
National Ranking
3379

Overview

Guorong Wu is a researcher affiliated with the University of North Carolina at Chapel Hill in the United States. Their work spans multiple disciplines including neuroscience, medicine, and computer science, with a strong focus on cognitive neuroscience and advanced neuroimaging techniques.

Their research primarily covers the following fields of study:

  • Neuroscience
  • Medicine
  • Computer Science

Within these fields, they have contributed significantly to subfields such as cognitive neuroscience, computer vision and pattern recognition, radiology, nuclear medicine and imaging, artificial intelligence, and biophysics.

Key topics in their body of work include:

  • Functional brain connectivity studies
  • Advanced neuroimaging techniques and applications
  • Medical image segmentation techniques
  • Neural dynamics and brain function
  • Cell image analysis techniques
  • Dementia and cognitive impairment research
  • Alzheimer's disease research and treatments

Guorong Wu has published extensively, producing studies and papers in several prominent venues. Frequent publication venues include UNC Libraries, arXiv (Cornell University), Medical Image Analysis, IEEE Transactions on Medical Imaging, and the Journal of Alzheimer's Disease.

Recent papers authored or coauthored by Guorong Wu include:

  • "Brain functional connectivity analysis based on multi-graph fusion" (2021, Medical Image Analysis)
  • "Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification" (2021, IEEE Transactions on Medical Imaging)
  • "SAU-Net: A Unified Network for Cell Counting in 2D and 3D Microscopy Images" (2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics)
  • "Sulfur Poisoning and Self-Recovery of Single-Site Rh1/Porous Organic Polymer Catalysts for Olefin Hydroformylation" (2023, Angewandte Chemie International Edition)
  • "Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses" (2020, IEEE Transactions on Medical Imaging)

Collaborative work is a significant aspect of their research, with frequent coauthors including Dinggang Shen, Minjeong Kim, Defu Yang, Tingting Dan, and Paul J. Laurienti.

Best Publications

  • Deep Learning in Medical Image Analysis

    Dinggang Shen;Guorong Wu;Heung Il Suk

  • Infant brain atlases from neonates to 1- and 2-year-olds.

    Feng Shi;Pew Thian Yap;Guorong Wu;Hongjun Jia

  • Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning

    Guorong Wu;Minjeong Kim;Qian Wang;Brent C. Munsell

  • DynamicBC: A MATLAB Toolbox for Dynamic Brain Connectome Analysis

    Wei Liao;Guo-Rong Wu;Qiang Xu;Gong-Jun Ji

  • Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features

    Yang Li;Yaping Wang;Yaping Wang;Guorong Wu;Feng Shi

  • Unsupervised deep feature learning for deformable registration of MR brain images

    Guorong Wu;Minjeong Kim;Qian Wang;Yaozong Gao

  • SharpMean: groupwise registration guided by sharp mean image and tree-based registration.

    Guorong Wu;Hongjun Jia;Qian Wang;Dinggang Shen

  • ABSORB: Atlas Building by Self-organized Registration and Bundling.

    Hongjun Jia;Guorong Wu;Qian Wang;Dinggang Shen

  • A generative probability model of joint label fusion for multi-atlas based brain segmentation.

    Guorong Wu;Qian Wang;Daoqiang Zhang;Feiping Nie

  • Learning-based deformable registration of MR brain images

    Guorong Wu;Feihu Qi;Dinggang Shen

  • Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data

    Ehsan Adeli;Feng Shi;Le An;Chong Yaw Wee

  • Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.

    Guorong Wu;Minjeong Kim;Gerard Sanroma;Qian Wang

  • Consistent reconstruction of cortical surfaces from longitudinal brain MR images.

    Gang Li;Jingxin Nie;Guorong Wu;Yaping Wang

  • Information transfer and criticality in the Ising model on the human connectome.

    Daniele Marinazzo;Mario Pellicoro;Guorong Wu;Guorong Wu;Leonardo Angelini

  • Disrupted Brain Functional Network in Internet Addiction Disorder: A Resting-State Functional Magnetic Resonance Imaging Study

    Chong Yaw Wee;Zhimin Zhao;Pew Thian Yap;Guorong Wu

  • RABBIT: Rapid alignment of brains by building intermediate templates

    Songyuan Tang;Yong Fan;Guorong Wu;Minjeong Kim

  • Sparse patch-based label fusion for multi-atlas segmentation

    Daoqiang Zhang;Qimiao Guo;Guorong Wu;Dinggang Shen

  • Expanding the transfer entropy to identify information circuits in complex systems.

    Sebastiano Stramaglia;Guorong Wu;Mario Pellicoro;Daniele Marinazzo

  • iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing

    Yakang Dai;Feng Shi;Li Wang;Guorong Wu

  • Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises

    Ehsan Adeli;Kim-Han Thung;Le An;Guorong Wu

  • Multi‐atlas based representations for Alzheimer's disease diagnosis

    Rui Min;Guorong Wu;Jian Cheng;Qian Wang;Qian Wang

Frequent Co-Authors

Dinggang Shen
Dinggang Shen ShanghaiTech University
Qian Wang
Qian Wang Shanghai Jiao Tong University
Pew Thian Yap
Pew Thian Yap University of North Carolina at Chapel Hill
Yaozong Gao
Yaozong Gao United Imaging Healthcare (China)
Feng Shi
Feng Shi United Imaging Intelligence (China)
Paul J. Laurienti
Paul J. Laurienti Wake Forest University
Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics
Feiping Nie
Feiping Nie Northwestern Polytechnical University
Wufan Chen
Wufan Chen Southern Medical University
Ehsan Adeli
Ehsan Adeli Stanford University

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