World's Best Scientists 2026 revealed!
Yuanyuan Wang

Yuanyuan Wang

D-Index & Metrics

Computer Science

D-Index
43
Citations
9363
World Ranking
7881
National Ranking
1035

Overview

Yuanyuan Wang is affiliated with Fudan University in China and has contributed extensively to the field of medicine, with a particular focus on radiology, nuclear medicine, and medical imaging. Their research intersects with computer vision and pattern recognition, biomedical engineering, surgery, and pulmonary and respiratory medicine.

Their recent published papers include:

  • Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer (2020, Nature Communications)
  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging (2020, Medical Image Analysis)
  • Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics (2020, Nature Communications)
  • Complement C1q-dependent excitatory and inhibitory synapse elimination by astrocytes and microglia in Alzheimer's disease mouse models (2022, Nature Aging)
  • Ultrasound-Based Radiomic Nomogram for Predicting Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma (2020, Academic Radiology)

Yuanyuan Wang frequently collaborates with several researchers, with notable coauthors including:

  • Yi Guo
  • Jinhua Yu
  • Jing Jiao
  • Shichong Zhou
  • Guoqing Wu

Their publications have appeared repeatedly in a variety of venues. The most frequent venues for their work are:

  • Research Square (Research Square)
  • arXiv (Cornell University)
  • Frontiers in Oncology
  • Biomedical Signal Processing and Control
  • Medical Image Analysis

The main fields of study in their body of work focus on medicine, with particular emphasis on the following subfields:

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

Yuanyuan Wang's research topics include:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Medical Image Segmentation Techniques
  • Photoacoustic and Ultrasonic Imaging
  • Advanced Neural Network Applications
  • Thyroid Cancer Diagnosis and Treatment
  • Cerebrovascular and Carotid Artery Diseases

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

  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.

    Zhaohan Xiong;Qing Xia;Zhiqiang Hu;Ning Huang

  • Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma.

    Zeju Li;Yuanyuan Wang;Jinhua Yu;Yi Guo

  • Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics

    Jinhua Yu;Yinhui Deng;Tongtong Liu;Jin Zhou

  • Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model

    Yuzhou Hu;Yi Guo;Yuanyuan Wang;Jinhua Yu

  • Robust sleep stage classification with single-channel EEG signals using multimodal decomposition and HMM-based refinement

    Dihong Jiang;Ya-nan Lu;Yu Ma;Yuanyuan Wang

  • Doppler ultrasound signal denoising based on wavelet frames

    Yu Zhang;Yuanyuan Wang;Weiqi Wang;Bin Liu

  • Ultrasound speckle reduction by a SUSAN-controlled anisotropic diffusion method

    Jinhua Yu;Jinglu Tan;Yuanyuan Wang

  • Prediction of Lymph Node Metastasis in Patients With Papillary Thyroid Carcinoma: A Radiomics Method Based on Preoperative Ultrasound Images:

    Tongtong Liu;Shichong Zhou;Jinhua Yu;Yi Guo

  • Speckle filtering of ultrasonic images using a modified non local-based algorithm

    Yanhui Guo;Yuanyuan Wang;T. Hou

  • Sonoelastomics for Breast Tumor Classification: A Radiomics Approach with Clustering-Based Feature Selection on Sonoelastography

    Qi Zhang;Yang Xiao;Jingfeng Suo;Jun Shi

  • Sparse Representation-Based Radiomics for the Diagnosis of Brain Tumors

    Guoqing Wu;Yinsheng Chen;Yuanyuan Wang;Jinhua Yu

  • A rough margin based support vector machine

    Junhua Zhang;Yuanyuan Wang

  • Segmentation of Fetal Left Ventricle in Echocardiographic Sequences Based on Dynamic Convolutional Neural Networks

    Li Yu;Yi Guo;Yuanyuan Wang;Jinhua Yu

  • Noise reduction and edge detection via kernel anisotropic diffusion

    Jinhua Yu;Yuanyuan Wang;Yuzhong Shen

  • An Ultrasound Radiomics Nomogram for Preoperative Prediction of Central Neck Lymph Node Metastasis in Papillary Thyroid Carcinoma.

    Shi-Chong Zhou;Tong-Tong Liu;Jin Zhou;Yun-Xia Huang

  • Automatic Cobb Measurement of Scoliosis Based on Fuzzy Hough Transform with Vertebral Shape Prior

    Junhua Zhang;Edmond Lou;Lawrence H. Le;Douglas L. Hill

  • Robust phase-based texture descriptor for classification of breast ultrasound images.

    Lingyun Cai;Xin Wang;Yuanyuan Wang;Yi Guo

  • Comparison of the application of B-mode and strain elastography ultrasound in the estimation of lymph node metastasis of papillary thyroid carcinoma based on a radiomics approach

    Tongtong Liu;Xifeng Ge;Jinhua Yu;Yi Guo

  • Predicting termination of atrial fibrillation based on the structure and quantification of the recurrence plot

    Rongrong Sun;Yuanyuan Wang

  • Total variation based gradient descent algorithm for sparse-view photoacoustic image reconstruction.

    Yan Zhang;Yuanyuan Wang;Chen Zhang

  • A computer-aided Cobb angle measurement method and its reliability.

    Junhua Zhang;Edmond Lou;Xinling Shi;Yuanyuan Wang

Frequent Co-Authors

Yong-Ping Zheng
Yong-Ping Zheng Hong Kong Polytechnic University
Zhongping Chen
Zhongping Chen University of California, Irvine
Daru Lu
Daru Lu Fudan University
Yefeng Zheng
Yefeng Zheng Tencent (China)
Wenjia Bai
Wenjia Bai Imperial College London
Hairong Zheng
Hairong Zheng Chinese Academy of Sciences
Daniel Rueckert
Daniel Rueckert Technical University of Munich
Tom Vercauteren
Tom Vercauteren King's College London
Andreas Maier
Andreas Maier University of Erlangen-Nuremberg
Kuanquan Wang
Kuanquan Wang Harbin Institute of Technology

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