World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4601
World Ranking
12694
National Ranking
1560

Overview

Wei Yang is affiliated with Southern Medical University in China and has contributed extensively to the fields of medicine and engineering. Their research focuses particularly on applications within radiology, medical imaging, and biomedical engineering.

Wei Yang's main fields of study cover:

  • Medicine
  • Engineering

Key subfields of study include:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Pulmonary and Respiratory Medicine
  • Cardiology and Cardiovascular Medicine

Their research topics encompass:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Advanced Radiotherapy Techniques
  • Medical Imaging and Analysis
  • ECG Monitoring and Analysis
  • AI in cancer detection

Wei Yang has published in a range of scientific venues, the most frequent including:

  • PubMed
  • IEEE Access
  • IEEE Transactions on Medical Imaging
  • arXiv (Cornell University)
  • European Radiology

Frequent co-authors with whom Wei Yang has collaborated include:

  • Liming Zhong
  • Qianjin Feng
  • Yiwen Zhang
  • Yunbi Liu
  • Kaiyi Zheng

Selected recent papers demonstrate Wei Yang's involvement in advanced medical imaging and diagnostic techniques:

  • "SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation," 2020, IEEE Transactions on Medical Imaging
  • "Automatic Segmentation of Individual Tooth in Dental CBCT Images From Tooth Surface Map by a Multi-Task FCN," 2020, IEEE Access
  • "Practical intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset," 2023, Nature Communications
  • "Accuracy of Intravascular Ultrasound-Based Fractional Flow Reserve in Identifying Hemodynamic Significance of Coronary Stenosis," 2021, Circulation Cardiovascular Interventions
  • "Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma," 2020, BMC Cancer

Best Publications

  • Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

    Jun Cheng;Wei Huang;Shuangliang Cao;Ru Yang

  • Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation.

    Jun Cheng;Wei Yang;Meiyan Huang;Wei Huang

  • Brain tumor segmentation based on local independent projection-based classification.

    Meiyan Huang;Wei Yang;Yao Wu;Jun Jiang

  • Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging

    Xiangrui Yin;Jean-Louis Coatrieux;Qianlong Zhao;Jin Liu

  • SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation

    Shumao Pang;Chunlan Pang;Lei Zhao;Yangfan Chen

  • Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain.

    Wei Yang;Yingyin Chen;Yunbi Liu;Liming Zhong

  • Improving Low-Dose CT Image Using Residual Convolutional Network

    Wei Yang;Huijuan Zhang;Jian Yang;Jiasong Wu

  • 3D brain tumor segmentation in multimodal MR images based on learning population- and patient-specific feature sets.

    Jun Jiang;Yao Wu;Meiyan Huang;Wei Yang

  • Automatic Segmentation of Individual Tooth in Dental CBCT Images From Tooth Surface Map by a Multi-Task FCN

    Yanlin Chen;Haiyan Du;Zhaoqiang Yun;Shuo Yang

  • Discriminative Feature Representation to Improve Projection Data Inconsistency for Low Dose CT Imaging

    Jin Liu;Jianhua Ma;Yi Zhang;Yang Chen

  • Denoising of 3D magnetic resonance images by using higher-order singular value decomposition

    Xinyuan Zhang;Zhongbiao Xu;Nan Jia;Wei Yang

  • Robust and Accurate Surface Measurement Using Structured Light

    Rongqian Yang;Sheng Cheng;Wei Yang;Yazhu Chen

  • Content-Based Retrieval of Focal Liver Lesions Using Bag-of-Visual-Words Representations of Single- and Multiphase Contrast-Enhanced CT Images

    Wei Yang;Zhentai Lu;Mei Yu;Meiyan Huang

  • Correction: Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

    Jun Cheng;Wei Huang;Shuangliang Cao;Ru Yang

  • Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images

    Dongyang Du;Hui Feng;Wenbing Lv;Saeed Ashrafinia

  • Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT.

    Wenbing Lv;Qingyu Yuan;Quanshi Wang;Jianhua Ma

  • Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease.

    Meiyan Huang;Wei Yang;Qianjin Feng;Wufan Chen

  • Lung Field Segmentation in Chest Radiographs From Boundary Maps by a Structured Edge Detector

    Wei Yang;Yunbi Liu;Liyan Lin;Zhaoqiang Yun

  • Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma.

    Bin Zhang;Zhouyang Lian;Liming Zhong;Xiao Zhang;Xiao Zhang

  • Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors

    Wei Yang;Liming Zhong;Yang Chen;Liyan Lin

  • MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study

    Haimei Chen;Xiao Zhang;Xiaohong Wang;Xianyue Quan

  • Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages.

    Yunbi Liu;Ling Yue;Shifu Xiao;Wei Yang

Frequent Co-Authors

Wufan Chen
Wufan Chen Southern Medical University
Huazhong Shu
Huazhong Shu Southeast University
Jianhua Ma
Jianhua Ma Hosei University
Gouenou Coatrieux
Gouenou Coatrieux IMT Atlantique
Mingxia Liu
Mingxia Liu University of North Carolina at Chapel Hill
Dinggang Shen
Dinggang Shen ShanghaiTech University
Arman Rahmim
Arman Rahmim University of British Columbia
Jerome A. Yesavage
Jerome A. Yesavage Stanford University
Sandra E. Black
Sandra E. Black University of Toronto
Reisa A. Sperling
Reisa A. Sperling Brigham and Women's Hospital

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