World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
11792
World Ranking
6719
National Ranking
902

Research.com Recognitions

  • 2009 - Fellow of the American Society of Mechanical Engineers

Overview

Qian Wang is affiliated with Shanghai Jiao Tong University in China and has contributed extensively to the fields of medicine and computer science. Their research primarily involves the intersection of medical imaging, artificial intelligence, and advanced computational methods.

Wang's work spans several main fields of study, including:

  • Medicine
  • Computer Science

Their subfields of specialization include:

  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Cognitive Neuroscience
  • Biomedical Engineering

The main topics addressed in Wang's research encompass:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Image Segmentation Techniques
  • AI in cancer detection
  • Functional Brain Connectivity Studies
  • Advanced MRI Techniques and Applications
  • Advanced Neuroimaging Techniques and Applications
  • Advanced Neural Network Applications

Among the frequent publication venues where Wang's research can be found are:

  • UNC Libraries
  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • Medical Image Analysis
  • Frontiers in Neuroscience

Frequent collaborators of Wang include:

  • Dinggang Shen
  • Lichi Zhang
  • Zhenrong Shen
  • Guorong Wu
  • Zhong Xue

Selected papers authored or co-authored by Wang include:

  • "Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia," 2020, IEEE Transactions on Medical Imaging
  • "Transformers in medical image analysis," 2022, Intelligent Medicine
  • "Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis," 2020, IEEE Transactions on Medical Imaging
  • "Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches," 2020, Frontiers in Neuroscience
  • "Interactive computer-aided diagnosis on medical image using large language models," 2024, Communications Engineering

Wang was awarded the title of Fellow of the American Society of Mechanical Engineers in 2009.

Best Publications

  • Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19

    Feng Shi;Jun Wang;Jun Shi;Ziyan Wu

  • Medical Image Synthesis with Context-Aware Generative Adversarial Networks

    Dong Nie;Roger Trullo;Jun Lian;Caroline Petitjean

  • Medical Image Synthesis with Deep Convolutional Adversarial Networks

    Dong Nie;Roger Trullo;Jun Lian;Li Wang

  • A Multi-Organ Nucleus Segmentation Challenge

    Neeraj Kumar;Ruchika Verma;Deepak Anand;Yanning Zhou

  • Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

    Xi Ouyang;Jiayu Huo;Liming Xia;Fei Shan

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

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

  • Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI

    Lei Xiang;Yu Qiao;Dong Nie;Le An

  • Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma.

    Lin Huang;Lin Wang;Xiaomeng Hu;Sen Chen

  • Deformable Image Registration based on Similarity-Steered CNN Regression.

    Xiaohuan Cao;Jianhua Yang;Jun Zhang;Dong Nie

  • Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages

    Dong Nie;Junfeng Lu;Han Zhang;Ehsan Adeli

  • Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image.

    Lei Xiang;Qian Wang;Dong Nie;Lichi Zhang

  • Interleaved 3D-CNNs for joint segmentation of small-volume structures in head and neck CT images

    Xuhua Ren;Lei Xiang;Dong Nie;Yeqin Shao

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

    Guorong Wu;Minjeong Kim;Qian Wang;Yaozong Gao

  • Integration of Network Topological and Connectivity Properties for Neuroimaging Classification

    Biao Jie;Daoqiang Zhang;Wei Gao;Qian Wang

  • Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction

    Lei Xiang;Yong Chen;Weitang Chang;Yiqiang Zhan

  • Adversarial learning for mono- or multi-modal registration

    Jingfan Fan;Xiaohuan Cao;Qian Wang;Pew Thian Yap

  • 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

  • Deformable Image Registration Using a Cue-Aware Deep Regression Network

    Xiaohuan Cao;Jianhua Yang;Jun Zhang;Qian Wang

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

    Guorong Wu;Qian Wang;Daoqiang Zhang;Feiping Nie

Frequent Co-Authors

Dinggang Shen
Dinggang Shen ShanghaiTech University
Guorong Wu
Guorong Wu University of North Carolina at Chapel Hill
Pew Thian Yap
Pew Thian Yap University of North Carolina at Chapel Hill
Yaozong Gao
Yaozong Gao United Imaging Healthcare (China)
Dong Nie
Dong Nie University of North Carolina at Chapel Hill
Han Zhang
Han Zhang ShanghaiTech University
Feng Shi
Feng Shi United Imaging Intelligence (China)
Dagan Feng
Dagan Feng University of Sydney
Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics
Jinsong Wu
Jinsong Wu Wuhan University of Technology

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