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Computer Science

D-Index
58
Citations
13747
World Ranking
3625
National Ranking
481

Overview

Yong Xia is affiliated with Northwestern Polytechnical University in China. Their research primarily spans the fields of Medicine and Computer Science, with notable contributions in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, and Pulmonary and Respiratory Medicine.

Their research topics focus on Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Advanced Neural Network Applications, COVID-19 diagnosis using AI, Medical Image Segmentation Techniques, Medical Imaging and Analysis, and Domain Adaptation and Few-Shot Learning.

Yong Xia has published extensively, with frequent appearances in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • Medical Image Analysis
  • IEEE Journal of Biomedical and Health Informatics
  • Pattern Recognition

Recent papers by Yong Xia include:

  • "Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection," 2020, IEEE Transactions on Medical Imaging
  • "A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification," 2020, IEEE Transactions on Medical Imaging
  • "Mutual consistency learning for semi-supervised medical image segmentation," 2022, Medical Image Analysis
  • "NFN: A novel network followed network for retinal vessel segmentation," 2020, Neural Networks
  • "Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection," 2020, arXiv (Cornell University)

The scientist has collaborated frequently with several coauthors, including:

  • Jianpeng Zhang
  • Yutong Xie
  • Yiwen Ye
  • Yongsheng Pan
  • Yanning Zhang

Best Publications

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

    Yutong Xie;Jianpeng Zhang;Chunhua Shen;Yong Xia

  • Attention Residual Learning for Skin Lesion Classification

    Jianpeng Zhang;Yutong Xie;Yong Xia;Chunhua Shen

  • Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT

    Yutong Xie;Yong Xia;Jianpeng Zhang;Yang Song

  • Medical image classification using synergic deep learning.

    Jianpeng Zhang;Yutong Xie;Qi Wu;Yong Xia

  • A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification

    Yutong Xie;Jianpeng Zhang;Yong Xia;Chunhua Shen

  • COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection

    Jianpeng Zhang;Yutong Xie;Yi Li;Chunhua Shen

  • Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection

    Jianpeng Zhang;Yutong Xie;Guansong Pang;Zhibin Liao

  • Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT

    Yutong Xie;Jianpeng Zhang;Yong Xia;Michael J. Fulham

  • Robust saliency detection via regularized random walks ranking

    Changyang Li;Yuchen Yuan;Weidong Cai;Yong Xia

  • GA-SVM based feature selection and parameter optimization in hospitalization expense modeling

    Zhou Tao;Lu Huiling;Wang Wenwen;Yong Xia

  • D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation

    Yongjin Zhou;Weijian Huang;Pei Dong;Yong Xia

  • Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT

    Yutong Xie;Jianpeng Zhang;Yong Xia

  • Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis.

    Yongsheng Pan;Mingxia Liu;Chunfeng Lian;Tao Zhou

  • Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection

    Jianpeng Zhang;Yutong Xie;Guansong Pang;Zhibin Liao

  • NFN+: A novel network followed network for retinal vessel segmentation.

    Yicheng Wu;Yong Xia;Yang Song;Yanning Zhang

  • DoDNet: Learning to Segment Multi-Organ and Tumors from Multiple Partially Labeled Datasets

    Jianpeng Zhang;Yutong Xie;Yong Xia;Chunhua Shen

  • Multiscale Network Followed Network Model for Retinal Vessel Segmentation

    Yicheng Wu;Yong Xia;Yang Song;Yanning Zhang

  • Morphology-based multifractal estimation for texture segmentation

    Yong Xia;Dagan Feng;Rongchun Zhao

  • Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation

    Zexuan Ji;Yong Xia;Quansen Sun;Qiang Chen

  • Fuzzy c-means clustering with weighted image patch for image segmentation

    Zexuan Ji;Yong Xia;Qiang Chen;Quansen Sun

Frequent Co-Authors

Yanning Zhang
Yanning Zhang Northwestern Polytechnical University
Weidong Cai
Weidong Cai University of Sydney
Dagan Feng
Dagan Feng University of Sydney
Chunhua Shen
Chunhua Shen Zhejiang University
Dinggang Shen
Dinggang Shen ShanghaiTech University
Yang Song
Yang Song California Institute of Technology
Heng Huang
Heng Huang University of Pittsburgh
Mingxia Liu
Mingxia Liu University of North Carolina at Chapel Hill
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Feng Shi
Feng Shi United Imaging Intelligence (China)

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