Enhancing MR image segmentation with realistic adversarial data augmentation
2022 · Medical Image Analysis · 59 citations
https://doi.org/10.1016/j.media.2022.102597
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Zeju Li
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Zeju Li is an academic researcher from Chinese University of Hong Kong. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Advanced Neural Network Applications & COVID-19 diagnosis using AI. The author has an h-index of 18, co-authored 62 publications.
ORCID: 0000-0002-4608-2959Papers by this author
worksContext 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
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning
2022 · IEEE Transactions on Medical Imaging · 13 citations
https://doi.org/10.1109/tmi.2022.3213983
EvoAI enables extreme compression and reconstruction of the protein sequence space
2024 · Nature Methods · 13 citations
https://doi.org/10.1038/s41592-024-02504-2
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
2022 · npj Digital Medicine · 4 citations
https://doi.org/10.1038/s41746-022-00600-1
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