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Assessing Usability of Smartwatch Digital Health Devices for Home Blood Pressure Monitoring among Glaucoma Patients.

, , , , , , , и . Informatics, 9 (4): 79 (декабря 2022)

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Andreas Lindauer

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Learning from healthy and stable eyes: A new approach for detection of glaucomatous progression., , , , , и . Artif. Intell. Medicine, 64 (2): 105-115 (2015)A Framework for Detecting Glaucomatous Progression in the Optic Nerve Head of an Eye Using Proper Orthogonal Decomposition., , , , , , , и . IEEE Trans. Information Technology in Biomedicine, 13 (5): 781-793 (2009)One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis., , , , , , и . IEEE Trans. Medical Imaging, 42 (12): 3764-3778 (декабря 2023)Glaucoma progression detection using variational expectation maximization algorithm., , , , и . ISBI, стр. 876-879. IEEE, (2013)GLANCE: Visual Analytics for Monitoring Glaucoma Progression., , , , , , , , , и 3 other автор(ы). VCBM, стр. 85-96. Eurographics Association, (2020)A hierarchical framework for estimating neuroretinal rim area using 3D spectral domain optical coherence tomography (SD-OCT) optic nerve head (ONH) images of healthy and glaucoma eyes., , , и . EMBC, стр. 3869-3872. IEEE, (2014)Assessing Usability of Smartwatch Digital Health Devices for Home Blood Pressure Monitoring among Glaucoma Patients., , , , , , , и . Informatics, 9 (4): 79 (декабря 2022)One-Vote Veto: A Self-Training Strategy for Low-Shot Learning of a Task-Invariant Embedding to Diagnose Glaucoma., , , , , , и . CoRR, (2020)Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection., , , , , , , , , и 30 other автор(ы). npj Digit. Medicine, (2020)Detecting glaucomatous change in visual fields: Analysis with an optimization framework., , , , , , , , , и 1 other автор(ы). J. Biomed. Informatics, (2015)