World's Best Scientists 2026 revealed!

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Computer Science

D-Index
53
Citations
11058
World Ranking
4833
National Ranking
647

Overview

Tianfu Wang is affiliated with Shenzhen University in China. Their research spans Medicine and Computer Science, with substantial contributions in subfields such as Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Molecular Biology, and Neurology.

The scientist has published extensively on topics including AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications, Medical Image Segmentation Techniques, Brain Tumor Detection and Classification, COVID-19 diagnosis using AI, and Dementia and Cognitive Impairment Research.

Tianfu Wang's recent papers include:

  • VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images (2021, Medical Image Analysis)
  • Skin lesion segmentation via generative adversarial networks with dual discriminators (2020, Medical Image Analysis)
  • 3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification (2021, IEEE Transactions on Medical Imaging)
  • Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction (2020, Medical Image Analysis)
  • Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network (2022, IEEE Transactions on Medical Imaging)

Frequent coauthors they collaborate with include:

  • Baiying Lei
  • Guanghui Yue
  • Jie Du
  • Tianwei Zhou
  • Peng Yang

Publication venues where Tianfu Wang has frequently appeared are:

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

Best Publications

  • Deep Learning in Medical Ultrasound Analysis: A Review

    Shengfeng Liu;Yi Wang;Xin Yang;Baiying Lei

  • A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images

    Qiaoliang Li;Bowei Feng;LinPei Xie;Ping Liang

  • Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks

    Hao Chen;Dong Ni;Jing Qin;Shengli Li

  • Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning

    Youyi Song;Ling Zhang;Siping Chen;Dong Ni

  • VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

    Anjany Sekuboyina;Malek E. Husseini;Amirhossein Bayat;Maximilian Löffler

  • Deep Learning Framework for Alzheimer’s Disease Diagnosis via 3D-CNN and FSBi-LSTM

    Chiyu Feng;Ahmed Elazab;Peng Yang;Tianfu Wang

  • Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review

    Syed Jamal Safdar Gardezi;Ahmed Elazab;Baiying Lei;Tianfu Wang

  • Skin lesion segmentation via generative adversarial networks with dual discriminators.

    Baiying Lei;Zaimin Xia;Feng Jiang;Xudong Jiang

  • Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features

    Zhen Yu;Xudong Jiang;Feng Zhou;Jing Qin

  • Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images

    Youyi Song;Ee-Leng Tan;Xudong Jiang;Jie-Zhi Cheng

  • FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks

    Lingyun Wu;Jie-Zhi Cheng;Shengli Li;Baiying Lei

  • Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset

    Jun Shi;Shichong Zhou;Xiao Liu;Qi Zhang

  • Convolutional neural networks based transfer learning for diabetic retinopathy fundus image classification

    Xiaogang Li;Tiantian Pang;Biao Xiong;Weixiang Liu

  • Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

    Yi Wang;Dong Ni;Haoran Dou;Xiaowei Hu

  • Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound

    Yi Wang;Na Wang;Min Xu;Junxiong Yu

  • Dense Deconvolutional Network for Skin Lesion Segmentation

    Hang Li;Xinzi He;Feng Zhou;Zhen Yu

  • Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images

    Sihong Chen;Jing Qin;Xing Ji;Baiying Lei

  • Reversible watermarking scheme for medical image based on differential evolution

    Baiying Lei;Ee-Leng Tan;Siping Chen;Dong Ni

  • Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

    Yi Wang;Haoran Dou;Xiaowei Hu;Lei Zhu

  • A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei.

    Youyi Song;Ling Zhang;Siping Chen;Dong Ni

  • 3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification

    Yongtao Zhang;Haimei Li;Jie Du;Jing Qin

Frequent Co-Authors

Baiying Lei
Baiying Lei Shenzhen University
Dong Ni
Dong Ni Shenzhen University
Feng Zhou
Feng Zhou University of Michigan–Ann Arbor
Jing Qin
Jing Qin Hong Kong Polytechnic University
Jing Lin
Jing Lin Shenzhen University
Wenpei Fan
Wenpei Fan China Pharmaceutical University
Sheng Wang
Sheng Wang Tianjin University
Qianjun He
Qianjun He Shanghai Jiao Tong University
Pheng-Ann Heng
Pheng-Ann Heng Chinese University of Hong Kong
Xiaoyuan Chen
Xiaoyuan Chen National University of Singapore

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