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och Holm, Jonatan, Automated Segmentation for Early Glaucoma Detection Using nnU-Net, Ophthalmic Technologies XXXV, 2025, : SPIE-Intl Soc Optical Eng
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och Söderberg, Per G., Prospective Analysis of Optic Nerve Head Changes in Glaucoma Using Artificial Intelligence Software, Investigative Ophthalmology and Visual Science, 2025, 66 nr 8, : The Association for Research in Vision and Ophthalmology
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och Yu, Zhaohua, Age related loss rate of the minimal cross section of the waist of the nerve fiber layer in the optic nerve head estimated with OCT, Ophthalmic Technologies XXXV, 2025, : SPIE-Intl Soc Optical Eng
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och Esvelt, Kevin, Assessing the safety of new germicidal far‐UVC technologies, Photochemistry and Photobiology, 2024, 100 nr 3, s. 501–520, : John Wiley & Sons
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Kisonaite, Konstancija, Quantitative assessment of glaucoma by artificial intelligence estimation of the waist of the nerve fiber layer in the optic nerve head, 2023, Acta Universitatis Uppsaliensis, 2023, Uppsala
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och Hermansson, Liselotte, Validity of the self-rated 36-item World Health Organization Disability Assessment Schedule (WHODAS) 2.0 as a measure of functioning in Swedish psychiatric outpatients, Nordic Journal of Psychiatry, 2023, 77 nr 3, s. 276–281, : Taylor & Francis
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och Wang, Chunliang, Fully automatic measurement of the waist of the nerve fiber layer at the optic nerve head, angularly resolved, Investigative Ophthalmology and Visual Science, 2020, 61 nr 7, : Association for Research in Vision and Ophthalmology (ARVO)
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