PeopleofSuperintelligence

Researcher

Chen Chen

Also known as Chen (Cherise) Chen

Chen Chen is a computer vision researcher who develops AI for medical imaging. She earned an MSc in Advanced Computing in 2016 and a PhD in 2022 at Imperial College London, where she worked as a research associate from 2022. Her papers introduced AdvChain for MRI segmentation and a causality-inspired method to help segmentation models generalize to unseen domains. She joined Oxford's BioMedIA group in 2023, became an ELLIS Scholar in 2024, and coauthored CLAIM, which won the 2025 AIiH Best Paper Award. She is a Lecturer in Computer Vision at the University of Sheffield, a role she began in 2023.

Works
164
Citations
5,710
h-index
32
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 2016–2022

    Degrees and research at Imperial

    She earns an MSc in Advanced Computing at Imperial College London in 2016 and a PhD there in 2022. From 2022, she works as a research associate at Imperial College London.

  2. 2021–2022

    AdvChain for MRI segmentation

    In 2021, she coauthors an arXiv paper that introduces AdvChain, an adversarial data augmentation framework for medical image segmentation. The journal article appears in Medical Image Analysis in 2022.

  3. 2021–2023

    Causality in medical segmentation

    In 2021, she coauthors a causality-inspired method that exposes medical image segmentation models to domain shifts and removes spurious correlations. The work appears in IEEE Transactions on Medical Imaging in 2023.

  4. 2023

    Joining Oxford BioMedIA

    She joins Oxford BioMedIA at the University of Oxford in 2023 and works closely with Professor Vicente Grau on AI projects in cardiac, brain, and prostate imaging.

  5. 2024

    An ELLIS Scholar

    She becomes an ELLIS Scholar in 2024 in its Robust Machine Learning program.

  6. 2025

    A healthcare AI award

    Her coauthored CLAIM paper wins the AIiH 2025 Best Paper Award for clinically guided LGE augmentation and myocardial-scar synthesis and segmentation.

  7. Since 2023

    Lecturer in Computer Vision

    She joins the University of Sheffield's Department of Computer Science as a Lecturer/Assistant Professor in Computer Vision in 2023. As of October 2026, she is a Lecturer in Computer Vision there.

Career

  1. Since 2023University of SheffieldLecturer in Computer Vision
  2. 2023–2024University of Oxford
  3. 2023–2026University of Electronic Science and Technology of China
  4. 2023–2026Nanyang Technological University
  5. 2023–2026Shanghai Jiao Tong University
  6. 2023–2026Chinese Academy of Sciences
  7. 2023–2026University of Chinese Academy of Sciences
  8. 2023–2026Beihang University
  9. 2022–2023Imperial College LondonResearch Associate
  10. 2022–2023University of Central Florida
  11. 2020–2023Zhejiang University
  12. 2020–2023Xinjiang University
  13. 2018–2023Sichuan University

Education

  1. 2022Imperial College LondonPhD
  2. 2016Imperial College LondonMSc in Advanced Computing

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

Most-cited works

  1. Learning to See in the Dark2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 1,378 citationsWith Vladlen Koltun
  2. A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging2020 · Medical Image Analysis · 518 citationsWith Pheng‐Ann Heng
  3. Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation2020 · Lecture notes in computer science · 281 citations
  4. Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation2022 · IEEE Transactions on Medical Imaging · 261 citations
  5. Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects2023 · Expert Systems with Applications · 254 citations

From OpenAlex, as of 19 October 2026.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Sheffield. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  2. The company share of AI researchers’ top papers rose from 2% to 32%Includes University of Sheffield. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 2% in 1975–1979 to 32% in 2020–2024.
  3. The median h-index is 54 at universities and 19 at frontier AI labsIncludes University of Oxford. The median h-index is 54 at universities and 19 at frontier AI labs. We compare publishing careers, citations and moves to estimate how universities and frontier labs contribute to AI research.
  4. Google has the highest combined h-index among AI organizationsIncludes University of Oxford. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.

Colleagues

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

Sources and credits

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  1. Dr Chen Chen | Computer Science | The University of Sheffield sheffield.ac.uk. Checked 18 October 2026.
  2. [2108.03429] Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation arxiv.org. Checked 18 October 2026.
  3. [2111.12525] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation arxiv.org. Checked 18 October 2026.
  4. Chen Chen | European Laboratory for Learning and Intelligent Systems ellis.eu. Checked 18 October 2026.
  5. Chen (Cherise) Chen - Dr. Chen (Cherise) Chen cherise215.github.io. Checked 18 October 2026.
  6. Publications - Dr. Chen (Cherise) Chen cherise215.github.io. Checked 18 October 2026.
  7. Awards 2025 – AIiH aiih.cc. Checked 18 October 2026.
  8. Inspiring Student Worker Awards 2026 | Careers & Employability | The University of Sheffield sheffield.ac.uk. Checked 18 October 2026.