World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
25997
World Ranking
1140
National Ranking
21

Overview

Huazhu Fu is affiliated with the Agency for Science, Technology and Research in Singapore. Their research spans the intersection of computer science and medicine, focusing extensively on computer vision, pattern recognition, and medical imaging applications.

The scientist has contributed notably to the following main fields of study:

  • Computer Science
  • Medicine

Within these fields, Huazhu Fu has specialized in several subfields including:

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

Their work covers a range of topics closely related to medical imaging and analysis:

  • Retinal Imaging and Analysis
  • AI in cancer detection
  • Advanced Neural Network Applications
  • Glaucoma and retinal disorders
  • Medical Image Segmentation Techniques
  • Retinal Diseases and Treatments
  • Radiomics and Machine Learning in Medical Imaging

Huazhu Fu has co-authored frequently with several researchers, including:

  • Jiang Liu
  • Yanwu Xu
  • Ling Shao
  • Rick Siow Mong Goh
  • Yitian Zhao

The scientist has published extensively in venues focused on medical and biomedical imaging, with significant contributions appearing in:

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

Huazhu Fu's recent papers include:

  • Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images, 2020, IEEE Transactions on Medical Imaging
  • Transformers in medical imaging: A survey, 2023, Medical Image Analysis
  • Salient Object Detection in the Deep Learning Era: An In-Depth Survey, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST, 2023, Nature Communications
  • Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis, 2020, IEEE Transactions on Medical Imaging

Additionally, Huazhu Fu has contributed to books published by Springer Science+Business Media, including several editions of Ophthalmic Medical Image Analysis and titles related to medical image computing and resource-efficient analysis. These books were published from 2020 through 2023.

Best Publications

  • CE-Net: Context Encoder Network for 2D Medical Image Segmentation

    Zaiwang Gu;Jun Cheng;Huazhu Fu;Kang Zhou

  • Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation

    Huazhu Fu;Jun Cheng;Yanwu Xu;Damon Wing Kee Wong

  • PraNet: Parallel Reverse Attention Network for Polyp Segmentation

    Deng-Ping Fan;Ge-Peng Ji;Tao Zhou;Geng Chen

  • Transformers in Medical Imaging: A Survey

    Unknown

  • Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

    Deng-Ping Fan;Tao Zhou;Ge-Peng Ji;Yi Zhou

  • Diversity-induced Multi-view Subspace Clustering

    Xiaochun Cao;Changqing Zhang;Huazhu Fu;Si Liu

  • Salient Object Detection in the Deep Learning Era: An In-depth Survey.

    Wenguan Wang;Qiuxia Lai;Huazhu Fu;Jianbing Shen

  • REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

    José Ignacio Orlando;Huazhu Fu;João Barbossa Breda;Karel van Keer

  • Generalized Latent Multi-View Subspace Clustering

    Changqing Zhang;Huazhu Fu;Qinghua Hu;Xiaochun Cao

  • Salient Object Detection in the Deep Learning Era: An In-Depth Survey

    Wenguan Wang;Qiuxia Lai;Huazhu Fu;Jianbing Shen

  • Low-Rank Tensor Constrained Multiview Subspace Clustering

    Changqing Zhang;Huazhu Fu;Si Liu;Guangcan Liu

  • Latent Multi-view Subspace Clustering

    Changqing Zhang;Qinghua Hu;Huazhu Fu;Pengfei Zhu

  • DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field

    Huazhu Fu;Yanwu Xu;Stephen Lin;Damon Wing Kee Wong

  • Cluster-Based Co-Saliency Detection

    Huazhu Fu;Xiaochun Cao;Zhuowen Tu

  • Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image

    Huazhu Fu;Jun Cheng;Yanwu Xu;Changqing Zhang

  • Trusted Multi-View Classification With Dynamic Evidential Fusion

    Unknown

  • Review of Visual Saliency Detection With Comprehensive Information

    Runmin Cong;Jianjun Lei;Huazhu Fu;Ming-Ming Cheng

  • Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

    Unknown

  • Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis

    Tao Zhou;Huazhu Fu;Geng Chen;Jianbing Shen

  • Depth Enhanced Saliency Detection Method

    Yupeng Cheng;Huazhu Fu;Xingxing Wei;Jiangjian Xiao

  • FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction

    Unknown

  • CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging.

    Lei Mou;Yitian Zhao;Huazhu Fu;Yonghuai Liu

  • Applications of deep learning in fundus images: A review.

    Tao Li;Wang Bo;Chunyu Hu;Hong Kang

  • CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading

    Along He;Tao Li;Ning Li;Kai Wang

  • Retinal vessel segmentation via deep learning network and fully-connected conditional random fields

    Huazhu Fu;Yanwu Xu;Damon Wing Kee Wong;Jiang Liu

  • Medical image analysis

    Baba C. Vemuri;James S. Duncan

Frequent Co-Authors

Jiang Liu
Jiang Liu Southern University of Science and Technology
Yanwu Xu
Yanwu Xu South China University of Technology
Xiaochun Cao
Xiaochun Cao Sun Yat-sen University
Jun Cheng
Jun Cheng University of Chinese Academy of Sciences
Changqing Zhang
Changqing Zhang Tianjin University
Jianbing Shen
Jianbing Shen University of Macau
Damon Wing Kee Wong
Damon Wing Kee Wong Nanyang Technological University
Runmin Cong
Runmin Cong Shandong University
Yitian Zhao
Yitian Zhao Chinese Academy of Sciences
Ling Shao
Ling Shao Terminus International

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