AI recognition of patient race in medical imaging: a modelling study
2022 · The Lancet Digital Health · 462 citations
https://doi.org/10.1016/s2589-7500(22)00063-2
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Shih-Cheng Huang
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Shih-Cheng Huang is an academic researcher from Stanford University. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & AI in cancer detection & Venous Thromboembolism Diagnosis and Management. The author has an h-index of 16, co-authored 53 publications.
ORCID: 0000-0001-9882-833XPapers by this author
worksSelf-supervised learning for medical image classification: a systematic review and implementation guidelines
2023 · npj Digital Medicine · 373 citations
https://doi.org/10.1038/s41746-023-00811-0
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition
2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 358 citations
https://doi.org/10.1109/iccv48922.2021.00391
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials
2022 · npj Digital Medicine · 169 citations
https://doi.org/10.1038/s41746-022-00613-w
Developing medical imaging AI for emerging infectious diseases
2022 · Nature Communications · 36 citations
https://doi.org/10.1038/s41467-022-34234-4
A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings
2025 · Nature Communications · 22 citations
https://doi.org/10.1038/s41467-025-58344-x
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