World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
11433
World Ranking
3129
National Ranking
421

Research.com Recognitions

  • 2020 - Member of the European Academy of Sciences
  • 2020 - Member of Academia Europaea

Overview

Xiaobo Qu is affiliated with Xiamen University in China and has a considerable publication record focused on advanced techniques in medical imaging and related fields. Their research spans multiple areas in medicine and engineering, with a strong emphasis on medical imaging methodologies, particularly involving magnetic resonance imaging (MRI) and nuclear magnetic resonance (NMR) spectroscopy.

Their work encompasses the following main fields of study:

  • Medicine
  • Engineering

Within these broad disciplines, the following subfields are prominent in their research:

  • Radiology, Nuclear Medicine and Imaging
  • Nuclear and High Energy Physics
  • Biomedical Engineering
  • Computational Mechanics
  • Molecular Biology

Xiaobo Qu's research topics cover a range of advanced medical and imaging techniques:

  • Advanced MRI Techniques and Applications
  • Medical Imaging Techniques and Applications
  • NMR spectroscopy and applications
  • Sparse and Compressive Sensing Techniques
  • Advanced X-ray and CT Imaging
  • Advanced Neuroimaging Techniques and Applications
  • Metabolomics and Mass Spectrometry Studies

The scientist has contributed to several frequently publishing venues including:

  • arXiv (Cornell University)
  • 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
  • Journal of Magnetic Resonance
  • Medical Image Analysis
  • BMC Medical Imaging

Among their recent contributions, the following papers highlight their focus and collaborations:

  • Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy, 2020, Chemistry - A European Journal
  • A review on deep learning MRI reconstruction without fully sampled k-space, 2021, BMC Medical Imaging
  • Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI, 2020, Medical Image Analysis
  • Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence, 2023, IEEE Signal Processing Magazine
  • A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation, 2024, Renewable Energy

Frequent collaborators include Di Guo, Zi Wang, Zhangren Tu, and Chen Qian, reflecting ongoing research partnerships across multiple projects.

The scientist has been recognized by membership in notable academic organizations:

  • Member of Academia Europaea (2020)
  • Member of the European Academy of Sciences (2020)

Best Publications

  • Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator

    Xiaobo Qu;Yingkun Hou;Fan Lam;Di Guo

  • Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment

    Weiming Lin;Tong Tong;Qinquan Gao;Di Guo

  • Bus stop-skipping scheme with random travel time

    Zhiyuan Liu;Yadan Yan;Yadan Yan;Xiaobo Qu;Yong Zhang

  • Ship collision risk assessment for the Singapore Strait

    Xiaobo Qu;Qiang Meng;Li Suyi

  • On the Impact of Cooperative Autonomous Vehicles in Improving Freeway Merging: A Modified Intelligent Driver Model-Based Approach

    Mofan Zhou;Xiaobo Qu;Sheng Jin

  • A recurrent neural network based microscopic car following model to predict traffic oscillation

    Mofan Zhou;Mofan Zhou;Xiaobo Qu;Xiaobo Qu;Xiaopeng Li

  • An overview of maritime waterway quantitative risk assessment models.

    Suyi Li;Qiang Meng;Xiaobo Qu

  • Undersampled MRI reconstruction with patch-based directional wavelets

    Xiaobo Qu;Di Guo;Bende Ning;Yingkun Hou

  • Development of an Efficient Driving Strategy for Connected and Automated Vehicles at Signalized Intersections: A Reinforcement Learning Approach

    Mofan Zhou;Yang Yu;Xiaobo Qu

  • Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach

    Xiaobo Qu;Yang Yu;Yang Yu;Mofan Zhou;Chin-Teng Lin

  • Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction

    Zhifang Zhan;Jian-Feng Cai;Di Guo;Yunsong Liu

  • On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models

    Xiaobo Qu;Shuaian Wang;Jin Zhang

  • Estimation of rear-end vehicle crash frequencies in urban road tunnels

    Qiang Meng;Xiaobo Qu;Xiaobo Qu

  • Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

    Yunsong Liu;Zhifang Zhan;Jian-Feng Cai;Di Guo

  • Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning

    Xiaobo Qu;Yihui Huang;Hengfa Lu;Tianyu Qiu

  • Iterative thresholding compressed sensing MRI based on contourlet transform

    Xiaobo Qu;Weiru Zhang;Di Guo;Congbo Cai

  • Accelerated NMR Spectroscopy with Low‐Rank Reconstruction

    Xiaobo Qu;Maxim Mayzel;Jian Feng Cai;Zhong Chen

  • Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform.

    Zongying Lai;Xiaobo Qu;Yunsong Liu;Di Guo

  • On the Stochastic Fundamental Diagram for Freeway Traffic: Model Development, Analytical Properties, Validation, and Extensive Applications

    Xiaobo Qu;Jin Zhang;Shuaian Wang

  • Vessel Collision Frequency Estimation in the Singapore Strait

    Jinxian Weng;Qiang Meng;Xiaobo Qu

  • Optimal electric bus fleet scheduling considering battery degradation and non-linear charging profile

    Le Zhang;Le Zhang;Shuaian Wang;Xiaobo Qu

  • A tree-structured crash surrogate measure for freeways

    Yan Kuang;Xiaobo Qu;Shuaian Wang

  • Bus dwell time estimation at bus bays: A probabilistic approach

    Qiang Meng;Xiaobo Qu

  • A probabilistic quantitative risk assessment model for the long-term work zone crashes

    Qiang Meng;Jinxian Weng;Xiaobo Qu

  • Optimization of electric bus scheduling considering stochastic volatilities in trip travel time and energy consumption

    Yiming Bie;Jinhua Ji;Xiangyu Wang;Xiangyu Wang;Xiaobo Qu

Frequent Co-Authors

Zhong Chen
Zhong Chen Nanyang Technological University
Shuaian Wang
Shuaian Wang Hong Kong Polytechnic University
Qiang Meng
Qiang Meng National University of Singapore
Jian-Feng Cai
Jian-Feng Cai Hong Kong University of Science and Technology
Zhiyuan Liu
Zhiyuan Liu Southeast University
Xiaopeng Li
Xiaopeng Li University of Wisconsin–Madison
Feng Huang
Feng Huang Sun Yat-sen University
Lu Zhen
Lu Zhen Shanghai University
Xi Peng
Xi Peng Sichuan University
Xiangyu Wang
Xiangyu Wang Curtin University

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