Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation
2020 · Lecture notes in computer science · 234 citations
https://doi.org/10.1007/978-3-030-58526-6_45
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Cheng Ouyang
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Cheng Ouyang is an academic researcher from University of Oxford. The author has contributed to research in topics: Differential Equations and Numerical Methods & Differential Equations and Boundary Problems & Material Science and Thermodynamics. The author has an h-index of 19, co-authored 100 publications.
ORCID: 0000-0002-3069-8708Papers by this author
worksEnhancing MR image segmentation with realistic adversarial data augmentation
2022 · Medical Image Analysis · 59 citations
https://doi.org/10.1016/j.media.2022.102597
Context Label Learning: Improving Background Class Representations in Semantic Segmentation
2023 · IEEE Transactions on Medical Imaging · 18 citations
https://doi.org/10.1109/tmi.2023.3242838
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results
2024 · IEEE Transactions on Medical Imaging · 17 citations
https://doi.org/10.1109/tmi.2024.3485554
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023
2025 · Medical Image Analysis · 15 citations
https://doi.org/10.1016/j.media.2025.103485
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts
2024 · Lecture notes in computer science · 10 citations
https://doi.org/10.1007/978-3-031-72390-2_36
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