1. Gadi Wollstein

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    1. Mentioned In 116 Articles

    2. Attention-guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association using Volumetric Images

      Explore IEEE Xplore Ophthalmology
      Attention-guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association using Volumetric Images
      The direct analysis of 3D Optical Coherence Tomography (OCT) volumes enables deep learning models (DL) to learn spatial structural information and discover new bio-markers that are relevant to glaucoma. Downsampling 3D input volumes is the state-of-art solution to accommodate for the limited number of training volumes as well as the available computing resources. However, this limits the network's ability to learn from small retinal structures in OCT volumes. In ...
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      Mentions: Joel S. Schuman Gadi Wollstein Hiroshi Ishikawa

    3. Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes

      Explore arxiv.org Ophthalmology
      Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes
      In optical coherence tomography (OCT) volumes of retina, the sequential acquisition of the individual slices makes this modality prone to motion artifacts, misalignments between adjacent slices being the most noticeable. Any distortion in OCT volumes can bias structural analysis and influence the outcome of longitudinal studies. On the other hand, presence of speckle noise that is characteristic of this imaging modality, leads to inaccuracies when traditional registration techniques are employed ...
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      Mentions: Joel S. Schuman Gadi Wollstein Hiroshi Ishikawa

    4. ASSESSING THE ABILITY OF PREOPERATIVE QUANTITATIVE SPECTRAL-DOMAIN OPTICAL COHERENCE TOMOGRAPHY CHARACTERISTICS TO PREDICT VISUAL OUTCOME IN IDIOPATHIC MACULAR HOLE SURGERY

      Explore LWW Online Ophthalmology
      ASSESSING THE ABILITY OF PREOPERATIVE QUANTITATIVE SPECTRAL-DOMAIN OPTICAL COHERENCE TOMOGRAPHY CHARACTERISTICS TO PREDICT VISUAL OUTCOME IN IDIOPATHIC MACULAR HOLE SURGERY
      Purpose: To determine which spectral domain optical coherence tomography biomarkers of idiopathic macular hole (MH) correlate with the postoperative best-corrected visual acuity (BCVA) in anatomically closed MH. Methods: Retrospective analysis of spectral domain optical coherence tomography scans of 44 patients presenting with MH followed for a mean of 17 months. Widths of MH aperture, base, and ellipsoid zone disruption were calculated from presenting foveal spectral domain optical coherence tomography B-scans ...
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      Mentions: Joel S. Schuman Gadi Wollstein Hiroshi Ishikawa

    5. Retinal blood flow reduction in normal-tension glaucoma with single-hemifield damage by Doppler optical coherence tomography

      Explore BJO Online Ophthalmology
      Retinal blood flow reduction in normal-tension glaucoma with single-hemifield damage by Doppler optical coherence tomography
      Aims To evaluate the associations between retinal blood flow (RBF) and optical coherence tomography (OCT) structural measurements in normal-tension glaucoma (NTG) eyes with single-hemifield visual field (VF) damage by the Doppler OCT. Methods The Doppler OCT was used to measure temporal artery (TA) RBF and temporal vein (TV) RBF. Retinal nerve fibre layer thickness (RNFLT) was measured by spectral-domain OCT. Results Forty-three consecutive eyes of 43 patients with NTG with ...
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      Mentions: Joel S. Schuman Gadi Wollstein Hiroshi Ishikawa

    6. 3D-CNN for Glaucoma Detection Using Optical Coherence Tomography

      Explore Home - Springer Ophthalmology
      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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      Mentions: Joel S. Schuman Gadi Wollstein Hiroshi Ishikawa

    7. Inference of visual field test performance from OCT volumes using deep learning

      Explore arxiv.org Ophthalmology
      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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      Mentions: Joel S. Schuman Gadi Wollstein Hiroshi Ishikawa

    9. Designing visible-light optical coherence tomography towards clinics

      Explore Home
      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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      Mentions: Joel S. Schuman Gadi Wollstein Hiroshi Ishikawa

    10. Retinal optical coherence tomography image enhancement via deep learning

      Explore OSA | OSA Publishing
      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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      Mentions: Joel S. Schuman Gadi Wollstein Hiroshi Ishikawa

    11. Signal normalization among multiple optical coherence tomography devices

      Explore uspto.gov Patents
      Signal normalization among multiple optical coherence tomography devices
      The present disclosure is directed to systems and methods for normalizing an image of an eye among multiple optical coherence tomography (OCT) devices. The system can receive an OCT image and generate a normalized OCT image. The system is configured to normalize a sample density of the received image, normalize an amount of noise using a suitable noise reduction technique, normalize a distribution of signal amplitudes of the image, and ...
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      Mentions: University of Pittsburgh Joel S. Schuman Gadi Wollstein

    12. The Future of Imaging in Detecting Glaucoma Progression

      Explore Ophthalmology
      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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      Mentions: Joel S. Schuman Gadi Wollstein NYU Langone Medical Center

    14. Signal Normalization Reduces Image Appearance Disparity Among Multiple Optical Coherence Tomography Devices

      Explore TVST Journal Ophthalmology
      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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      Mentions: University of Pittsburgh Optovue Heidelberg Engineering

    15. Mapping in-vivo optic nerve head strains caused by intraocular and intracranial pressures

      Explore Conference Proceedings Neurology , Ophthalmology
      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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      Mentions: University of Pittsburgh Joel S. Schuman Gadi Wollstein
    17. 1-15 of 116 1 2 3 4 5 6 7 8 »
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  4. About Gadi Wollstein

    Gadi Wollstein

    Gadi Wollstein is a Professor of Ophthalmology, Vice Chairman for Clinic Research and Director of the Ophthalmic Imaging Research Laboratory in NYU Langone Eye Center.

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