1. Joon Mo Kim

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    1. Mentioned In 9 Articles

    2. Development and Validation of a Deep Learning System for Diagnosing Glaucoma Using Optical Coherence Tomography

      Development and Validation of a Deep Learning System for Diagnosing Glaucoma Using Optical Coherence Tomography
      This study aimed to develop and validate a deep learning system for diagnosing glaucoma using optical coherence tomography (OCT). A training set of 1822 eyes (332 control, 1490 glaucoma) with 7288 OCT images, an internal validation set of 425 eyes (104 control, 321 glaucoma) with 1700 images, and an external validation set of 355 eyes (108 control, 247 glaucoma) with 1420 images were included. Deviation and thickness maps of retinal ...
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    3. The Effect of Various Factors on Variability of Retinal Nerve Fiber Layer Thickness Measurements Using Optical Coherence Tomography

      The Effect of Various Factors on Variability of Retinal Nerve Fiber Layer Thickness Measurements Using Optical Coherence Tomography
      Purpose To evaluate the effects of various factors on the variability of retinal nerve fiber layer (RNFL) thickness measurements using the Stratus optical coherence tomography (OCT) in normal and glaucomatous eyes. MethodsFour hundred seventy-four subjects (103 normal eyes and 371 glaucomatous eyes) were scanned to determine the RNFL thickness measurements using the Stratus OCT. Measurements were obtained twice during the same day. The standard deviation (SD) was used to compare ...
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    4. Effect of signal strength on reproducibility of peripapillary retinal nerve fiber layer thickness measurement and its classification by time-domain optical coherence tomography

      Effect of signal strength on reproducibility of peripapillary retinal nerve fiber layer thickness measurement and its classification by time-domain optical coherence tomography
      ...measurement and its classification by time-domain optical coherence tomography Eun Suk Lee, Hyunjoong Kim and Joon Mo Kim * Download PDF (138.3 KB) * Permissions & Reprints * Issue * Journal Advertisment * References (14...
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    5. Korean normative database for time domain optical coherence tomography to detect localized retinal nerve fiber layer defects (preliminary study)

      Korean normative database for time domain optical coherence tomography to detect localized retinal nerve fiber layer defects (preliminary study)
      Abstract PurposeTo establish a Korean normative database of retinal nerve fiber layer (RNFL) thickness. MethodsData was collected from 103 healthy volunteers. Total ophthalmologic examinations, including fast RNFL thickness analysis by time domain optical coherence tomography (STRATUS OCT) were performed. The RNFL thickness of 64 glaucoma patients with localized RNFL defects and 48 independent healthy subjects were collected. The RNFL thickness of both the glaucoma patients and the healthy subjects was ...
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    6. The Effect of Soft Contact Lenses During the Measurement of Retinal Nerve Fiber Layer Thickness Using Optical Coherence Tomography

      ... measuring RNFL thickness using OCT with myopic patients using soft contact lenses. Authors: Dong Ju Youm a;  Joon Mo Kim a;  Ki Ho Park b; Chul Young Choi a Purpose: To investigate if the measurement of retinal nerve fi...
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  2. About Joon Mo Kim

    Joon Mo Kim is with the Department of Ophthalmology at Kangbuk Samsung Hospital part of the Sungkyunkwan University School of Medicine in Seoul Korea.