H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
2018 · IEEE Transactions on Medical Imaging · 2,373 citations
https://doi.org/10.1109/tmi.2018.2845918
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Xiaomeng Li
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Xiaomeng Li is an academic researcher from Shandong University of Traditional Chinese Medicine. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Advanced Neural Network Applications & AI in cancer detection. The author has an h-index of 35, co-authored 241 publications.
ORCID: 0000-0003-1105-8083Papers by this author
worksThe Liver Tumor Segmentation Benchmark (LiTS)
2022 · Medical Image Analysis · 1,082 citations
https://doi.org/10.1016/j.media.2022.102680
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
2019 · Lecture notes in computer science · 913 citations
https://doi.org/10.1007/978-3-030-32245-8_67
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation
2020 · IEEE Transactions on Neural Networks and Learning Systems · 525 citations
https://doi.org/10.1109/tnnls.2020.2995319
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
2019 · IEEE Transactions on Medical Imaging · 431 citations
https://doi.org/10.1109/tmi.2019.2951844
Event-Triggered Consensus Control for Multi-Agent Systems Against False Data-Injection Attacks
2019 · IEEE Transactions on Cybernetics · 363 citations
https://doi.org/10.1109/tcyb.2019.2937951
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