 Connection
Travis Redd to Cross-Sectional Studies
This is a "connection" page, showing publications Travis Redd has written about Cross-Sectional Studies.
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Connection Strength |
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0.192 |
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Kogachi K, Lalitha P, Prajna NV, Gunasekaran R, Keenan JD, Campbell JP, Song X, Redd TK. Deep Convolutional Neural Networks Detect no Morphological Differences Between Culture-Positive and Culture-Negative Infectious Keratitis Images. Transl Vis Sci Technol. 2023 01 03; 12(1):12.
Score: 0.087
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Redd TK, Lalitha P, Prajna NV, Sikha M, Gunasekaran R, Hinterwirth A, Chen C, Zhong L, Liu Z, Lietman TM, Keenan JD, Doan T, Seitzman GD. Impact of Sample Collection Order on the Diagnostic Performance of Metagenomic Deep Sequencing for Infectious Keratitis. Cornea. 2022 Jan 01; 41(1):39-44.
Score: 0.081
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Seitzman GD, Prajna L, Prajna NV, Sansanayudh W, Satitpitakul V, Laovirojjanakul W, Chen C, Zhong L, Ouimette K, Redd T, Deiner MC, Porco TC, McLeod SD, Lietman TM, Hinterwirth A, Doan T. Biomarker Detection and Validation for Corneal Involvement in Patients With Acute Infectious Conjunctivitis. JAMA Ophthalmol. 2024 Sep 01; 142(9):865-871.
Score: 0.024
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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