PeopleofSuperintelligence

Researcher

Ahmed Elazab

Ahmed Elazab is a medical imaging researcher who develops trustworthy AI for brain disease diagnosis and prognosis. They hold bachelor's and master's degrees in computer science from Mansoura University and earned a PhD in pattern recognition and intelligent systems at the University of Chinese Academy of Sciences in 2017. Their work includes GP-GAN for brain tumor growth, ICH-SCNet for hemorrhage prognosis, and multimodal systems for lung disease and Alzheimer’s diagnosis. At Tsinghua SIGS, they have been an assistant professor since November 2025. They are also a PhD supervisor.

Works
107
Citations
2,488
h-index
24
Badges

Publication numbers from OpenAlex, as of 27 October 2026.

Timeline

  1. 2012–2017

    A doctorate in pattern recognition

    They hold bachelor's and master's degrees in computer science from Mansoura University. They earn a PhD in pattern recognition and intelligent systems at the University of Chinese Academy of Sciences in January 2017.

  2. 2017–2020

    Postdoctoral research at Shenzhen University

    They serve as a postdoctoral fellow at Shenzhen University from August 2017 to April 2020.

  3. 2020

    Brain tumor growth prediction

    In 2020, they coauthor GP-GAN, a stacked 3D generative adversarial network for brain tumor growth prediction, published in Neural Networks.

  4. 2021–2024

    Associate researcher at Shenzhen University

    From January 2021 to December 2024, they serve as an associate researcher at Shenzhen University.

  5. 2023

    A MICCAI best paper award

    Their coauthored work receives the 2023 Best Paper Award at the MICCAI International Workshop on Computational Mathematics Modeling in Cancer Analysis.

  6. 2024

    ICH-SCNet for hemorrhage prognosis

    In 2024, they coauthor ICH-SCNet, a multitask network for intracerebral hemorrhage segmentation and prognosis classification. It uses a SAM-CLIP cross-modal mechanism to combine medical text and segmentation information with neuroimaging.

  7. April 2025–October 2025

    Associate researcher in Shenzhen

    From April 2025 to October 2025, they serve as an associate researcher at Shenzhen University of Information Technology.

  8. September 2025

    Clinical-prior fusion for lung cancer

    At MICCAI in September 2025, they coauthor a paper on clinical-prior guided fusion for histological subtyping of lung cancer in CT scans. Its CM-DAC framework aligns 3D image patches with clinical records through cross-modal hierarchical fusion.

  9. September 2025

    A network for small lung lesions

    At MICCAI in September 2025, they coauthor MMCAF-Net for lung disease classification. It uses a feature pyramid and 3D multi-scale convolutional attention to extract lesion-specific features, with cross-attention for multimodal data integration.

  10. Since 2025

    Assistant professor at Tsinghua SIGS

    In November 2025, they join Tsinghua SIGS as an assistant professor. They are also a PhD supervisor. Their research focuses on trustworthy AI for medical image analysis, especially brain disease diagnosis and prognosis. In 2026, they coauthor a study on Alzheimer’s disease diagnosis using multimodal sparse similarity feature selection and auxiliary data.

Career

  1. Since 2025Tsinghua UniversityAssistant Professor
  2. NowTsinghua UniversityPhD Supervisor
  3. 2025Shenzhen University of Information TechnologyAssociate Researcher
  4. 2025–2026Tsinghua Shenzhen International Graduate School
  5. 2021–2024Shenzhen UniversityAssociate Researcher
  6. 2017–2020Shenzhen UniversityPostdoctoral Fellow
  7. 2014–2017Chinese Academy of Sciences

Education

  1. 2017University of Chinese Academy of SciencesPhD in Pattern Recognition and Intelligent Systems
  2. Mansoura UniversityBachelor's degree in Computer Science
  3. Mansoura UniversityMaster's degree in Computer Science

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Checked career sources: sigs.tsinghua.edu.cn.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Ahmed Elazab sigs.tsinghua.edu.cn. Checked 27 October 2026.
  2. ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism arxiv.org. Checked 27 October 2026.
  3. Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans papers.miccai.org. Checked 27 October 2026.
  4. Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification arxiv.org. Checked 27 October 2026.
  5. Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification papers.miccai.org. Checked 27 October 2026.