Hasil Pencarian - Panisa Singhanetr

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  1. 1
    Artificial Intelligence for Diabetic Retinopathy Screening Using Color Retinal Photographs: From Development to Deployment

    Artificial Intelligence for Diabetic Retinopathy Screening Using Color Retinal Photographs: From Development to Deployment oleh Andrzej Grzybowski, Panisa Singhanetr, Onnisa Nanegrungsunk, Paisan Ruamviboonsuk

    Diterbitkan 2023-03-01
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  2. 2
    Risk factors for endophthalmitis after cataract surgery in diabetic patients: a case control study

    Risk factors for endophthalmitis after cataract surgery in diabetic patients: a case control study oleh Sukhum Silpa-archa, Apichaya Papirachnart, Panisa Singhanetr, Janine M Preble

    Diterbitkan 2019-03-01
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  3. 3
    Characteristics of road traffic mortality and distribution of healthcare resources in Thailand

    Characteristics of road traffic mortality and distribution of healthcare resources in Thailand oleh Kasem Seresirikachorn, Panisa Singhanetr, Ngamphol Soonthornworasiri, Anyarak Amornpetchsathaporn, Thanaruk Theeramunkong

    Diterbitkan 2022-11-01
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  4. 4
    Potential Ocular Biomarkers for Early Detection of Alzheimer’s Disease and Their Roles in Artificial Intelligence Studies

    Potential Ocular Biomarkers for Early Detection of Alzheimer’s Disease and Their Roles in Artificial Intelligence Studies oleh Pareena Chaitanuwong, Panisa Singhanetr, Methaphon Chainakul, Niracha Arjkongharn, Paisan Ruamviboonsuk, Andrzej Grzybowski

    Diterbitkan 2023-07-01
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  5. 5
    Effects of digital devices and online learning on computer vision syndrome in students during the COVID-19 era: an online questionnaire study

    Effects of digital devices and online learning on computer vision syndrome in students during the COVID-19 era: an online questionnaire study oleh Kasem Seresirikachorn, Warakorn Thiamthat, Wararee Sriyuttagrai, Ngamphol Soonthornworasiri, Panisa Singhanetr, Narata Yudtanahiran, Thanaruk Theeramunkong

    Diterbitkan 2022-10-01
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  6. 6
    Investigating public behavior with artificial intelligence-assisted detection of face mask wearing during the COVID-19 pandemic

    Investigating public behavior with artificial intelligence-assisted detection of face mask wearing during the COVID-19 pandemic oleh Kasem Seresirikachorn, Paisan Ruamviboonsuk, Ngamphol Soonthornworasiri, Panisa Singhanetr, Titipakorn Prakayaphun, Natsuda Kaothanthong, Surapoom Somwangthanaroj, Thanaruk Theeramunkong

    Diterbitkan 2023-01-01
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  7. 7
    Investigating public behavior with artificial intelligence-assisted detection of face mask wearing during the COVID-19 pandemic.

    Investigating public behavior with artificial intelligence-assisted detection of face mask wearing during the COVID-19 pandemic. oleh Kasem Seresirikachorn, Paisan Ruamviboonsuk, Ngamphol Soonthornworasiri, Panisa Singhanetr, Titipakorn Prakayaphun, Natsuda Kaothanthong, Surapoom Somwangthanaroj, Thanaruk Theeramunkong

    Diterbitkan 2023-01-01
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  8. 8
    The Classification of Common Macular Diseases Using Deep Learning on Optical Coherence Tomography Images with and without Prior Automated Segmentation

    The Classification of Common Macular Diseases Using Deep Learning on Optical Coherence Tomography Images with and without Prior Automated Segmentation oleh Natsuda Kaothanthong, Jirawut Limwattanayingyong, Sukhum Silpa-archa, Mongkol Tadarati, Atchara Amphornphruet, Panisa Singhanetr, Pawas Lalitwongsa, Pantid Chantangphol, Anyarak Amornpetchsathaporn, Methaphon Chainakul, Paisan Ruamviboonsuk

    Diterbitkan 2023-01-01
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