World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7923
World Ranking
11049
National Ranking
1363

Overview

Yitian Zhao is affiliated with the Chinese Academy of Sciences in China and specializes in research at the intersection of medicine and computer science. Their work primarily focuses on the fields of radiology, nuclear medicine and imaging, ophthalmology, computer vision and pattern recognition, biomedical engineering, and artificial intelligence.

The scientist's research extensively covers topics related to retinal imaging and analysis, glaucoma and retinal disorders, retinal diseases and treatments, medical image segmentation techniques, optical coherence tomography applications, retinal and optic conditions, and digital imaging for blood diseases.

Yitian Zhao has contributed to numerous publications with recent notable papers including:

  • Understanding adversarial attacks on deep learning based medical image analysis systems, 2020, Pattern Recognition
  • DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • CS 2 -Net: Deep learning segmentation of curvilinear structures in medical imaging, 2020, Medical Image Analysis
  • ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model, 2020, IEEE Transactions on Medical Imaging
  • Structure and Illumination Constrained GAN for Medical Image Enhancement, 2021, IEEE Transactions on Medical Imaging

The scientist frequently publishes in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • Medical Image Analysis
  • IEEE Journal of Biomedical and Health Informatics
  • Frontiers in Cell and Developmental Biology

Notable frequent co-authors in Yitian Zhao's work include:

  • Yalin Zheng (65 collaborations)
  • Jiang Liu (59 collaborations)
  • Jiong Zhang (47 collaborations)
  • Yanda Meng (39 collaborations)
  • Jianyang Xie (32 collaborations)

The scientific contributions of Yitian Zhao center heavily on developing and applying advanced computational methods for medical image analysis, especially in retinal imaging and segmentation. Their research spans multiple aspects of medical imaging techniques and applications, highlighting the intersection of machine learning and clinical imaging fields.

Best Publications

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

    Zaiwang Gu;Jun Cheng;Huazhu Fu;Kang Zhou

  • Understanding adversarial attacks on deep learning based medical image analysis systems

    Xingjun Ma;Yuhao Niu;Lin Gu;Yisen Wang

  • Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images

    Yitian Zhao;Lavdie Rada;Ke Chen;Simon P. Harding

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

    Lei Mou;Yitian Zhao;Huazhu Fu;Yonghuai Liu

  • ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model

    Yuhui Ma;Huaying Hao;Jianyang Xie;Huazhu Fu

  • CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation

    Lei Mou;Yitian Zhao;Li Chen;Jun Cheng

  • Structure and Illumination Constrained GAN for Medical Image Enhancement.

    Yuhui Ma;Jiang Liu;Yonghuai Liu;Huazhu Fu

  • Dense Dilated Network With Probability Regularized Walk for Vessel Detection

    Lei Mou;Li Chen;Jun Cheng;Zaiwang Gu

  • An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study

    Bryan M. Williams;Bryan M. Williams;Bryan M. Williams;Davide Borroni;Rongjun Liu;Yitian Zhao;Yitian Zhao

  • Retinal vessel segmentation: an efficient graph cut approach with retinex and local phase.

    Yitian Zhao;Yonghuai Liu;Xiangqian Wu;Simon P. Harding

  • A Dementia Classification Framework Using Frequency and Time-Frequency Features Based on EEG Signals

    Pholpat Durongbhan;Yifan Zhao;Liangyu Chen;Panagiotis Zis

  • Automatic 2-D/3-D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter

    Yitian Zhao;Yalin Zheng;Yonghuai Liu;Yifan Zhao

  • An Annotation-Free Restoration Network for Cataractous Fundus Images

    Unknown

  • Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning

    Huihong Zhang;Jianlong Yang;Kang Zhou;Fei Li

  • Graph-based Region and Boundary Aggregation for Biomedical Image Segmentation

    Yanda Meng;Hongrun Zhang;Yitian Zhao;Xiaoyun Yang

  • Intensity and Compactness Enabled Saliency Estimation for Leakage Detection in Diabetic and Malarial Retinopathy

    Yitian Zhao;Yalin Zheng;Yonghuai Liu;Jian Yang

  • Sparse-Gan: Sparsity-Constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image

    Kang Zhou;Shenghua Gao;Jun Cheng;Zaiwang Gu

  • A Decision Tree-Initialised Neuro-fuzzy Approach for Clinical Decision Support.

    Tianhua Chen;Changjing Shang;Pan Su;Elpida Keravnou-Papailiou

  • Explainable Diabetic Retinopathy Detection and Retinal Image Generation

    Yuhao Niu;Lin Gu;Yitian Zhao;Feng Lu

  • Retinal Vascular Network Topology Reconstruction and Artery/Vein Classification via Dominant Set Clustering

    Yitian Zhao;Yonghuai Liu;Jianyang Xie;Huaizhong Zhang

  • CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging

    Lei Mou;Yitian Zhao;Huazhu Fu;Yonghuai Liu

  • ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model

    Yuhui Ma;Huaying Hao;Huazhu Fu;Jiong Zhang

  • Medical image analysis

    Baba C. Vemuri;James S. Duncan

Frequent Co-Authors

Jiang Liu
Jiang Liu Southern University of Science and Technology
Jun Cheng
Jun Cheng University of Chinese Academy of Sciences
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Shenghua Gao
Shenghua Gao ShanghaiTech University
Yanwu Xu
Yanwu Xu South China University of Technology
Feng Lu
Feng Lu Beihang University
Paul L. Rosin
Paul L. Rosin Cardiff University
Ralph R. Martin
Ralph R. Martin Cardiff University
Xiangqian Wu
Xiangqian Wu Harbin Institute of Technology
Annalena Venneri
Annalena Venneri Brunel University London

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