World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
18821
World Ranking
3977
National Ranking
530

Overview

Shaoting Zhang is affiliated with the University of Electronic Science and Technology of China. Their research spans interdisciplinary fields bridging computer science and medicine, with a focus on the development and application of advanced computational techniques in medical imaging.

The primary fields of study in their body of work include:

  • Computer Science
  • Medicine

Within these domains, their research addresses several subfields:

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

The main topics covered in their publications reflect concentrated expertise in:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Advanced Neural Network Applications
  • Medical Image Segmentation Techniques
  • COVID-19 diagnosis using AI
  • Domain Adaptation and Few-Shot Learning
  • Medical Imaging and Analysis

Shaoting Zhang has contributed extensively to various scientific venues, with frequent publications including:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • IEEE Transactions on Medical Imaging
  • Neurocomputing
  • Nature Communications

Their recent notable papers include:

  • On the challenges and perspectives of foundation models for medical image analysis, 2023, Medical Image Analysis
  • Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency, 2022, Medical Image Analysis
  • WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image, 2022, Medical Image Analysis
  • A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images, 2020, IEEE Transactions on Medical Imaging
  • TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers, 2024, Medical Image Analysis

Frequent collaborators include:

  • Guotai Wang
  • Xiangde Luo
  • Kang Li
  • Dimitris Metaxas
  • Wenjun Liao

Best Publications

  • StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li

  • StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li;Shaoting Zhang

  • StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li;Shaoting Zhang

  • CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

    Ran Gu;Guotai Wang;Tao Song;Rui Huang

  • Semi-supervised Medical Image Segmentation through Dual-task Consistency

    Xiangde Luo;Jieneng Chen;Tao Song;Yinan Chen

  • Multispectral Deep Neural Networks for Pedestrian Detection

    Jingjing Liu;Shaoting Zhang;Shu Wang;Dimitris N. Metaxas

  • A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

    Guotai Wang;Xinglong Liu;Chaoping Li;Zhiyong Xu

  • Efficient MR image reconstruction for compressed MR imaging

    Junzhou Huang;Shaoting Zhang;Dimitris N. Metaxas

  • SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition

    Han Zhang;Tao Xu;Mohamed Elhoseiny;Xiaolei Huang

  • Image retrieval via probabilistic hypergraph ranking

    Yuchi Huang;Qingshan Liu;Shaoting Zhang;Dimitris N. Metaxas

  • IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge

    Prasanna Porwal;Prasanna Porwal;Samiksha Pachade;Manesh Kokare;Girish Deshmukh

  • Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model

    Xiang Yu;Junzhou Huang;Shaoting Zhang;Wang Yan

  • Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

    Hui Qu;Pengxiang Wu;Qiaoying Huang;Jingru Yi

  • Towards robust and effective shape prior modeling: sparse shape composition

    Dimitris N. Metaxas;Shaoting Zhang

  • Large-scale retrieval for medical image analytics: A comprehensive review.

    Zhongyu Li;Xiaofan Zhang;Henning Müller;Shaoting Zhang

  • Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition

    Zhennan Yan;Yiqiang Zhan;Zhigang Peng;Shu Liao

  • Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval

    Xiaofan Zhang;Wei Liu;Murat Dundar;Sunil Badve

  • Automatic image annotation using group sparsity

    Shaoting Zhang;Junzhou Huang;Yuchi Huang;Yang Yu

  • Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

    Xiangde Luo;Wenjun Liao;Jieneng Chen;Tao Song

  • Embedding Label Structures for Fine-Grained Feature Representation

    Xiaofan Zhang;Feng Zhou;Yuanqing Lin;Shaoting Zhang

  • Query Specific Fusion for Image Retrieval

    Shaoting Zhang;Ming Yang;Timothee Cour;Kai Yu

  • Query Specific Rank Fusion for Image Retrieval

    Shaoting Zhang;Ming Yang;Timothee Cour;Kai Yu

Frequent Co-Authors

Dimitris N. Metaxas
Dimitris N. Metaxas Rutgers, The State University of New Jersey
Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Xiaolei Huang
Xiaolei Huang Pennsylvania State University
Hongsheng Li
Hongsheng Li Chinese University of Hong Kong
Xi Peng
Xi Peng Sichuan University
Wei Liu
Wei Liu Tencent (China)
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Weidong Cai
Weidong Cai University of Sydney
Lin Yang
Lin Yang University of Florida
Georg Langs
Georg Langs Medical University of Vienna

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens the door to many related opportunities. For those looking to expand their skill set, there are numerous accredited online electrical engineering programs that can complement your IT knowledge and boost career prospects in tech-heavy industries.

If you are seeking quick credentials, several easy certifications to get online offer a fast route to high-paying jobs in fields related to software development, networking, and cybersecurity.

Students interested in advancing their qualifications without a long time commitment can benefit from exploring the quickest online masters degree options. These accelerated programs allow you to gain expertise and enter the workforce faster.

Not sure which specialization aligns with industry demand? Discover what masters program should i do to better understand which degrees are most valued by employers today.

Best Scientists Citing Shaoting Zhang

Trending Scientists

Recently Published Articles