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  1. Article

    Open Access

    A validation of an entropy-based artificial intelligence for ultrasound data in breast tumors

    The application of artificial intelligence (AI) in the ultrasound (US) diagnosis of breast cancer (BCa) is increasingly prevalent. However, the impact of US-probe frequencies on the diagnostic efficacy of AI m...

    Zhibin Huang, Keen Yang, Hongtian Tian in BMC Medical Informatics and Decision Making (2024)

  2. Article

    Open Access

    Artificial intelligence for non-mass breast lesions detection and classification on ultrasound images: a comparative study

    This retrospective study aims to validate the effectiveness of artificial intelligence (AI) to detect and classify non-mass breast lesions (NMLs) on ultrasound (US) images.

    Guoqiu Li, Hongtian Tian, Huaiyu Wu in BMC Medical Informatics and Decision Making (2023)

  3. No Access

    Article

    One step further into the blackbox: a pilot study of how to build more confidence around an AI-based decision system of breast nodule assessment in 2D ultrasound

    To investigate how a DL model makes decisions in lesion classification with a newly defined region of evidence (ROE) by incorporating “explainable AI” (xAI) techniques.

    Fa** Dong, Ruilian She, Chen Cui, Siyuan Shi, Xuqiao Hu in European Radiology (2021)

  4. Article

    Open Access

    Generation of photonic entanglement in green fluorescent proteins

    Recent development of spectroscopic techniques based on quantum states of light can precipitate many breakthroughs in observing and controlling light-matter interactions in biological materials on a fundamenta...

    Siyuan Shi, Prem Kumar, Kim Fook Lee in Nature Communications (2017)

  5. Article

    Open Access

    Broadband photon pair generation in green fluorescent proteins through spontaneous four-wave mixing

    Recent studies in quantum biology suggest that quantum mechanics help us to explore quantum processes in biological system. Here, we demonstrate generation of photon pairs through spontaneous four-wave mixing ...

    Siyuan Shi, Abu Thomas, Neil V. Corzo, Prem Kumar, Yu** Huang in Scientific Reports (2016)