1. Delia Cabrera DeBuc

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    1. Mentioned In 36 Articles

    2. First workshop on artificial intelligence applied to retinal image analysis, Perth Australia, December 2018.

      First workshop on artificial intelligence applied to retinal image analysis, Perth Australia, December 2018.
      Medical imaging has now embraced AI methods based on deep learning (DL) approaches for medical image analytics. This has been especially true for retinal image analysis where large annotated datasets have been available for over 10 years. Recent studies starting in 2016 have demonstrated on par with human performance for diagnostic tasks such as screening for diabetic retinopathy and macular degeneration. Recently, in 2018, the FDA approved the first software ...
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    3. The Use of Optical Coherence Tomography for the Detection of Early Diabetic Retinopathy

      The Use of Optical Coherence Tomography for the Detection of Early Diabetic Retinopathy
      Diabetic retinopathy (DR) is one of the leading causes of vision loss globally with a severe burden on all societies due to its high treatment and rehabilitation costs. The early diagnosis of DR may provide preventive steps (including retinal laser therapy and tight carbohydrate, blood pressure, and cholesterol control) that could in turn help to avoid progression of the pathology with the resultant vision loss. Optical coherence tomography (OCT) enables ...
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    4. Optical Coherence Tomography for Assessment of Epithelialization in a Human Ex Vivo Wound Model

      Optical Coherence Tomography for Assessment of Epithelialization in a Human Ex Vivo Wound Model
      The ex vivo human skin wound model is a widely accepted model to study wound epithelialization. Due to a lack of animal models that fully replicate human conditions, the ex vivo model is a valuable tool to study mechanisms of wound re-epithelialization, as well as for pre-clinical testing of novel therapeutics. The current standard for assessment of wound healing in this model is histomorphometric analysis, which is labor intensive, time ...
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    5. Noninvasive, High-Resolution Functional Macular Imaging in Subjects With Retinal Vein Occlusion

      Noninvasive, High-Resolution Functional Macular Imaging in Subjects With Retinal Vein Occlusion
      BACKGROUND AND OBJECTIVES: Several imaging modalities have been developed to characterize ischemia inherent in retinal vascular diseases. This study aims to predict the impact and to better establish the mechanisms of visual deterioration. A high-resolution functional imaging device is used, yielding quantitative data for macular blood flow and capillary network features in healthy eyes and in eyes with central retinal vein occlusion (CRVO) or branch retinal vein occlusion (BRVO). PATIENTS ...
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    6. Inter-session repeatability of retinal layer thickness in optical coherence tomography

      Inter-session repeatability of retinal layer thickness in optical coherence tomography
      Reliable retinal layer thickness measurements using optical coherence tomography (OCT) are important to track the subtle retinal changes in longitudinal studies. A total of 10 eyes (5 healthy subjects, 4013 years old) were enrolled to study the inter-session repeatability and identify the pitfalls affecting the reliabilities. Each eye was scanned using spectral domain OCT (Spectralis SDOCT, Heidelberg Engineering) for 3 sessions with 30 seconds rest in between. The first and ...
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    7. Two-dimensional fractal analysis of retinal tissue of healthy and diabetic eyes with optical coherence tomography

      Two-dimensional fractal analysis of retinal tissue of healthy and diabetic eyes with optical coherence tomography
      In the ophthalmic research, the measurement of the retinal thickness is usually employed for characterizing the structural changes of the retinal tissue. However, changes in the fractal dimension (FD) may provide additional information regarding the structure of the retinal layers and their early damage in ocular diseases. In the present paper, we investigated the possibility of detecting changes in the structure of the cellular layers of the retina by applying ...
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    8. Performance evaluation of automated segmentation software on optical coherence tomography volume data

      Performance evaluation of automated segmentation software on optical coherence tomography volume data
      Over the past two decades a significant number of OCT segmentation approaches have been proposed in the literature. Each methodology has been conceived for and/or evaluated using specific datasets that do not reflect the complexities of the majority of widely available retinal features observed in clinical settings. In addition, there does not exist an appropriate OCT dataset with ground truth that reflects the realities of everyday retinal features observed ...
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    9. Reflectivity and thickness analysis of epiretinal membranes using spectral-domain optical coherence tomography

      Reflectivity and thickness analysis of epiretinal membranes using spectral-domain optical coherence tomography
      AIM : To compare thickness and reflectivity spectral domain optical coherence tomography (SD-OCT) findings in patients with idiopathic epiretinal membranes (ERMs), before and after ERM peeling surgery, with normal controls. METHODS : A retrospective study analyzed SD-OCTs of eyes with ERMs undergoing ERM peeling surgery by one surgeon from 2008 to 2010 and normal control eyes. SD-OCTs were analyzed using a customized algorithm to measure reflectivity and thickness. The relationship between the ...
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    10. Real-Time Automatic Segmentation of Optical Coherence Tomography Volume Data of the Macular Region

      Real-Time Automatic Segmentation of Optical Coherence Tomography Volume Data of the Macular Region
      Optical coherence tomography (OCT) is a high speed, high resolution and non-invasive imaging modality that enables the capturing of the 3D structure of the retina. The fast and automatic analysis of 3D volume OCT data is crucial taking into account the increased amount of patient-specific 3D imaging data. In this work, we have developed an automatic algorithm, OCTRIMA 3D (OCT Retinal IMage Analysis 3D), that could segment OCT volume data ...
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    11. The effect of incorrect scanning distance on boundary detection errors and macular thickness measurements by spectral domain optical coherence tomography: a cross sectional study

      The effect of incorrect scanning distance on boundary detection errors and macular thickness measurements by spectral domain optical coherence tomography: a cross sectional study
      ... while retinal thickness measurements are independent of scanning distance. Boglárka E Varga, Erika Tátrai, Delia Cabrera DeBuc and Gábor Márk Somfai 10 eyes of healthy subjects, 10 eyes with diabetic macular edema ...
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    12. System and method for early detection of diabetic retinopathy using optical coherence tomography

      System and method for early detection of diabetic retinopathy using optical coherence tomography
      A system for the imaging, processing and evaluation of tissues provides prognostic and diagnostic details regarding diseased tissue. A set of quantitative measures were developed and integrated in an image-base analysis software tool designed for OCT images. The system and methods in this invention is significant because it allows assessing the optical properties and structure morphology differences between normal healthy subjects and diabetic patients with retinopathy up to ETDRS level ...
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    13. Fractal-based analysis of optical coherence tomography data to quantify retinal tissue damage

      Fractal-based analysis of optical coherence tomography data to quantify retinal tissue damage
      Background The sensitivity of Optical Coherence Tomography (OCT) images to identify retinal tissue morphology characterized by early neural loss from normal healthy eyes is tested by calculating structural information and fractal dimension. OCT data from 74 healthy eyes and 43 eyes with type 1 diabetes mellitus with mild diabetic retinopathy (MDR) on biomicroscopy was analyzed using a custom-built algorithm (OCTRIMA) to measure locally the intraretinal layer thickness. A power spectrum ...
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    14. A Morphological Study of Retinal Changes in Unilateral Amblyopia Using Optical Coherence Tomography Image Segmentation

      A Morphological Study of Retinal Changes in Unilateral Amblyopia Using Optical Coherence Tomography Image Segmentation
      Objective The purpose of this study was to evaluate the possible structural changes of the macula in patients with unilateral amblyopia using optical coherence tomography (OCT) image segmentation. Patients and Methods 38 consecutive patients (16 male; mean age 32.417.6 years; range 667 years) with unilateral amblyopia were involved in this study. OCT examinations were performed with a time-domain OCT device, and a custom-built OCT image analysis software (OCTRIMA ...
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  2. About Delia Cabrera DeBuc

    Delia Cabrera DeBuc

    Delia Cabrera DeBuc is a Research Associate Professor at Bascom Palmer Eye Institute at the University of Miami Miller School of Medicine.