1. NYU Langone Medical Center

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    1. Mentioned In 23 Articles

    2. 3D-CNN for Glaucoma Detection Using Optical Coherence Tomography

      3D-CNN for Glaucoma Detection Using Optical Coherence Tomography
      The large size of raw 3D optical coherence tomography (OCT) volumes poses challenges for deep learning methods as it cannot be accommodated on a single GPU in its original resolution. The direct analysis of these volumes however, provides advantages such as circumventing the need for the segmentation of retinal structures. Previously, a deep learning (DL) approach was proposed for the detection of glaucoma directly from 3D OCT volumes, where the ...
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    3. New York University School of Medicine Receives NIH Grant or Novel Glaucoma Diagnostics for Structure and Function

      New York University School of Medicine Receives NIH Grant or Novel Glaucoma Diagnostics for Structure and Function
      New York University School of Medicine Receives a 2019 NIH Grant for $715,489 for Novel Glaucoma Diagnoxtics for Structure and Function. The principal investigator is Joel Schuman. Below is a summary of the proposed work. Glaucoma is a leading cause of vision morbidity and blindness worldwide. Early disease detection and sensitive monitoring of progression are crucial to allow timely treatment for preservation of vision. The introduction of ocular imaging ...
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    4. Speckle reduction in visible-light optical coherence tomography using scan modulation

      Speckle reduction in visible-light optical coherence tomography using scan modulation
      We present a technique to reduce speckle in visible-light optical coherence tomography (vis-OCT) that preserves fine structural details and is robust against sample motion. Specifically, we locally modulate B-scans orthogonally to their axis of acquisition. Such modulation enables acquisition of uncorrelated speckle patterns from similar anatomical locations, which can be averaged to reduce speckle. To verify the effectiveness of speckle reduction, we performed in-vivo retinal imaging using modulated raster and ...
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    5. Inference of visual field test performance from OCT volumes using deep learning

      Inference of visual field test performance from OCT volumes using deep learning
      Visual field tests (VFT) are pivotal for glaucoma diagnosis and conducted regularly to monitor disease progression. Here we address the question to what degree aggregate VFT measurements such as Visual Field Index (VFI) and Mean Deviation (MD) can be inferred from Optical Coherence Tomography (OCT) scans of the Optic Nerve Head (ONH) or the macula. Accurate inference of VFT measurements from OCT could reduce examination time and cost. We propose ...
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    6. A feature agnostic approach for glaucoma detection in OCT volumes

      A feature agnostic approach for glaucoma detection in OCT volumes
      Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly employed for the diagnosis and monitoring of glaucoma. Previously, machine learning techniques have relied on segmentation-based imaging features such as the peripapillary RNFL thickness and the cup-to-disc ratio. Here, we propose a deep learning technique that classifies eyes as healthy or ...
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    7. Designing visible-light optical coherence tomography towards clinics

      Designing visible-light optical coherence tomography towards clinics
      Background: The capabilities of visible-light optical coherence tomography (vis-OCT) in noninvasive anatomical and functional retinal imaging have been demonstrated by multiple groups in both rodents and healthy human subjects. Translating laboratory prototypes to an integrated clinical-environment-friendly system is required to explore the full potential of vis-OCT in disease management. Methods: We developed and optimized a portable vis-OCT system for human retinal imaging in clinical settings. We acquired raster- and circular-scan ...
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    8. Retinal optical coherence tomography image enhancement via deep learning

      Retinal optical coherence tomography image enhancement via deep learning
      Optical coherence tomography (OCT) images of the retina are a powerful tool for diagnosing and monitoring eye disease. However, they are plagued by speckle noise, which reduces image quality and reliability of assessment. This paper introduces a novel speckle reduction method inspired by the recent successes of deep learning in medical imaging. We present two versions of the network to reflect the needs and preferences of different end-users. Specifically, we ...
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    9. Classification of healthy and diseased retina using SD-OCT imaging and Random Forest algorithm

      Classification of healthy and diseased retina using SD-OCT imaging and Random Forest algorithm
      In this paper, we propose a novel classification model for automatically identifying individuals with age-related macular degeneration (AMD) or Diabetic Macular Edema (DME) using retinal features from Spectral Domain Optical Coherence Tomography (SD-OCT) images. Our classification method uses retinal features such as the thickness of the retina and the thickness of the individual retinal layers, and the volume of the pathologies such as drusen and hyper-reflective intra-retinal spots. We extract ...
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    10. The Future of Imaging in Detecting Glaucoma Progression

      The Future of Imaging in Detecting Glaucoma Progression
      Ocular imaging has been heavily incorporated into glaucoma management and provides important information that aids in the detection of disease progression. Longitudinal studies have shown that the circumpapillary retinal nerve fiber layer is an important parameter for glaucoma progression detection, whereas other studies have demonstrated that macular parameters, such as the ganglion cell inner plexiform layer and optic nerve head parameters, also are useful for progression detection. The introduction of ...
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    11. Comparison of Glaucoma Progression Detection by Optical Coherence Tomography and Visual Field

      Comparison of Glaucoma Progression Detection by Optical Coherence Tomography and Visual Field
      Purpose To compare longitudinal glaucoma progression detection using optical coherence tomography (OCT) and visual field (VF). Design Validity assessment Method We analyzed subjects with more than 5 follow-up visits (every 6 months) in the multi-center Advanced Imaging for Glaucoma Study. Fourier-domain optical coherence tomography (OCT) was used to map the thickness of the peripapillary retinal nerve fiber layer (NFL) and ganglion cell complex (GCC). OCT-based progression detection was defined as ...
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    12. Society for the Blind and Visually Impaired to Present Prestigious Leslie Dana Gold Medal at Visionary Gala in St. Louis

      Society for the Blind and Visually Impaired to Present Prestigious Leslie Dana Gold Medal at Visionary Gala in St. Louis
      ...S. Schuman MD, Professor and Chair, Department of Ophthalmology and Professor of Neuroscience and Physiology, NYU Langone Medical Center, NYU School of Medicine, at the Society’s Visionary Gala, to be held on Saturday, A...
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    13. Signal Normalization Reduces Image Appearance Disparity Among Multiple Optical Coherence Tomography Devices

      Signal Normalization Reduces Image Appearance Disparity Among Multiple Optical Coherence Tomography Devices
      Purpose : To assess the effect of the previously reported optical coherence tomography (OCT) signal normalization method on reducing the discrepancies in image appearance among spectral-domain OCT (SD-OCT) devices. Methods : Healthy eyes and eyes with various retinal pathologies were scanned at the macular region using similar volumetric scan patterns with at least two out of three SD-OCT devices at the same visit (Cirrus HD-OCT, Zeiss, Dublin, CA; RTVue, Optovue, Fremont, CA ...
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    14. Mapping in-vivo optic nerve head strains caused by intraocular and intracranial pressures

      Mapping in-vivo optic nerve head strains caused by intraocular and intracranial pressures
      Although it is well documented that abnormal levels of either intraocular (IOP) or intracranial pressure (ICP) can lead to potentially blinding conditions, such as glaucoma and papilledema, little is known about how the pressures actually affect the eye. Even less is known about potential interplay between their effects, namely how the level of one pressure might alter the effects of the other. Our goal was to measure in-vivo the pressure-induced ...
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    15. Postdoctoral Research in Ophthalmic Imaging at NYU Langone Eye Center

      Postdoctoral Research in Ophthalmic Imaging at NYU Langone Eye Center
      The Ophthalmic Imaging Research Laboratory at the New York University is looking for a Postdoctoral Associate to join our multidisciplinary, innovative and vibrant team of clinicians, engineers, software specialists, and biostatisticians. Our research is mostly funded by federal grants and focused on using advanced imaging devices and tools in order to detect and monitor glaucoma a leading cause of blindness and investigate new theories about the cause and pathology of ...
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    16. 1-15 of 23 1 2 »
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  2. About NYU Langone Medical Center

    NYU Langone Medical Center is an academic medical center located in New York City , New York , United States , affiliated with New York University . The Medical Center comprises the NYU School of Medicine and three hospitals: Tisch Hospital , the Rusk Institute of Rehabilitation Medicine , and the Hospital for Joint Diseases , and recently NYU Lutheran Medical Center . [1] NYU Langone Medical Center also operates over thirty ambulatory facilities in Manhattan, Brooklyn, Queens and Long Island. [2] In 2016, NYU Langone Medical Center acquired Winthrop University Hospital . [3] NYU Langone Medical Center overlooks the East River .