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Headline-Guided Extractive Summarization for Thai News Articles
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ECGConVT: A Hybrid CNN and Vision Transformer Model for Enhanced 12-Lead ECG Images Classification
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Perceptions of dental professionals on the use of silver diamine fluoride with or without light-curing
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Luminescence and a new approach for detecting heat treatment of geuda sapphire
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ATF4-mediated expression of NOXA is critical for necroptosis driven by glucose deprivation
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On the constant in the nonuniform version of the Berry-Esseen theorem
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Rotationplasty for Unplanned Fixation of Pathological Fracture Distal Femoral Osteosarcoma
Published 2020-01-01Get full text
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Air Quality, Atmospheric Variables and Spread of COVID-19 in Delhi (India): An Analysis
Published 2020-11-01Get full text
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A Convolutional Neural Network Using Anterior Segment Photos for Infectious Keratitis Identification
Published 2025-01-01“…Vannarut Satitpitakul,1,2 Apiwit Puangsricharern,3 Surachet Yuktiratna,3 Yossapon Jaisarn,4 Keeratika Sangsao,4 Vilavun Puangsricharern,1,2 Ngamjit Kasetsuwan,1,2 Usanee Reinprayoon,1,2 Thanachaporn Kittipibul1,2 1Center of Excellence for Cornea and Stem Cell Transplantation, Department of Ophthalmology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; 2Excellence Center for Cornea and Stem Cell Transplantation, Department of Ophthalmology, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand; 3IM Impower Company Limited, Bangkok, Thailand; 4Faculty of Medicine, Chulalongkorn University, Bangkok, ThailandCorrespondence: Vannarut Satitpitakul, Department of Ophthalmology, King Chulalongkorn Memorial Hospital, 1873 Rama 4 Road, Pathumwan, Bangkok, 10330, Thailand, Tel +66-894959022, Email Vannarut.S@chula.ac.thPurpose: To develop a comprehensively deep learning algorithm to differentiate between bacterial keratitis, fungal keratitis, non-infectious corneal lesions, and normal corneas.Methods: This retrospective study collected slit-lamp photos of patients with bacterial keratitis, fungal keratitis, non-infectious corneal lesions, and normal cornea. …”
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