Søgeresultater - Jane Scheetz

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  1. 1
    Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma

    Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma af Stuart Keel, Jinrong Wu, Pei Ying Lee, Jane Scheetz, Mingguang He

    Udgivet 2018
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  2. 2
    Role of Parental Refractive Status in Myopia Progression: 12-Year Annual Observation From the Guangzhou Twin Eye Study

    Role of Parental Refractive Status in Myopia Progression: 12-Year Annual Observation From the Guangzhou Twin Eye Study af Chimei Liao, Xiaohu Ding, Xiaotong Han, Yu Jiang, Jian Zhang, Jane Scheetz, Mingguang He

    Udgivet 2019
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  3. 3
    Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot study

    Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot study af Stuart Keel, Pei Ying Lee, Jane Scheetz, Zhixi Li, Mark A. Kotowicz, Richard J. MacIsaac, Mingguang He

    Udgivet 2018
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  4. 4
    Development and Validation of a Smartphone-Based Visual Acuity Test (Vision at Home)

    Development and Validation of a Smartphone-Based Visual Acuity Test (Vision at Home) af Xiaotong Han, Jane Scheetz, Stuart Keel, Chimei Liao, Chi Liu, Yu Jiang, Andreas Müller, Wei Meng, Mingguang He

    Udgivet 2019
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  5. 5
    Development and validation of a deep‐learning algorithm for the detection of neovascular age‐related macular degeneration from colour fundus photographs

    Development and validation of a deep‐learning algorithm for the detection of neovascular age‐related macular degeneration from colour fundus photographs af Stuart Keel, Zhixi Li, Jane Scheetz, Liubov D. Robman, James Phung, Galina Makeyeva, Khin-Zaw Aung, Chi Liu, Xixi Yan, Wei Meng, Robyn H. Guymer, Robert T. Chang, Mingguang He

    Udgivet 2019
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  6. 6
    A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

    A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology af Jane Scheetz, Philip Rothschild, Myra B. McGuinness, Xavier Hadoux, H. Peter Soyer, Monika Janda, James J. J. Condon, Luke Oakden‐Rayner, Lyle J. Palmer, Stuart Keel, Peter van Wijngaarden

    Udgivet 2021
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  7. 7
    Real-world artificial intelligence-based opportunistic screening for diabetic retinopathy in endocrinology and indigenous healthcare settings in Australia

    Real-world artificial intelligence-based opportunistic screening for diabetic retinopathy in endocrinology and indigenous healthcare settings in Australia af Jane Scheetz, Dilara Koca, Myra B. McGuinness, Edith E. Holloway, Zachary Tan, Zhuoting Zhu, Rod O’Day, Sukhpal S. Sandhu, Richard J. MacIsaac, Christopher Gilfillan, Angus Turner, Stuart Keel, Mingguang He

    Udgivet 2021
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