1. Ursula Schmidt-Erfurth

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    1. Mentioned In 149 Articles

    2. Retinal vessel architecture in retinopathy of prematurity and healthy controls using swept‐source optical coherence tomography angiography

      Retinal vessel architecture in retinopathy of prematurity and healthy controls using swept‐source optical coherence tomography angiography
      Purpose To determine microvascular changes in children with a history of retinopathy of prematurity (ROP) and in a control group of full‐term children. Methods In a cross‐sectional study, 30 eyes of 15 children aged 68 years with a history of ROP were evaluated with swept‐source optical coherence tomography angiography (SS‐OCTA). Twenty‐eight eyes of 22 age‐matched full‐term children served as a healthy control group ...
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    3. Atlas of Human Retinal Pigment Epithelium Organelles Significant for Clinical Imaging

      Atlas of Human Retinal Pigment Epithelium Organelles Significant for Clinical Imaging
      Purpose : To quantify organelles impacting imaging in the cell body and intact apical processes of human retinal pigment epithelium (RPE), including melanosomes, lipofuscinmelanolipofuscin (LM), mitochondria, and nuclei. Methods : A normal perifovea of a 21-year-old white male was preserved after rapid organ recovery. An aligned image stack was generated using serial block-face scanning electron microscopy and was annotated by expert readers (TrakEM, ImageJ). Acquired measures included cell body and nuclear volume ...
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    4. Predicting Progression of Age-Related Macular Degeneration Using Optical Coherence Tomography and Fundus Photography

      Predicting Progression of Age-Related Macular Degeneration Using Optical Coherence Tomography and Fundus Photography
      Purpose To compare the performance of automatically quantified optical coherence tomography (OCT) imaging biomarkers and conventional risk factors manually graded on color fundus photographs (CFP) for predicting progression to late age-related macular degeneration (AMD). Design Longitudinal observational study. Participants 280 eyes from 140 participants with bilateral large drusen. Methods All participants underwent OCT and CFP imaging at baseline and were then reviewed at six-monthly intervals to determine progression to late ...
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    5. End-to-end deep learning model for predicting treatment requirements in neovascular AMD from longitudinal retinal OCT imaging

      End-to-end deep learning model for predicting treatment requirements in neovascular AMD from longitudinal retinal OCT imaging
      Neovascular age-related macular degeneration (nAMD) is nowadays successfully treated with anti-VEGF substances, but interindividual treatment requirements are vastly heterogeneous and currently poorly plannable resulting in suboptimal treatment frequency. Optical coherence tomography (OCT) with its 3D high-resolution imaging serves as a companion diagnostic to anti-VEGF therapy. This creates a need for building predictive models using automated image analysis of OCT scans acquired during the treatment initiation phase. We propose such a ...
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    6. Computerized device and method for processing image data

      Computerized device and method for processing image data
      A computerized device for processing image data is proposed. The computerized device comprises a receiving unit which is configured to receive optical coherence tomography data of a of a tissue, in particular of a retina, a providing unit which is configured to provide a convolutional neural network for processing the optical coherence tomography data, and a processing unit which is configured to process the received optical coherence tomography data using ...
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    7. Subretinal Drusenoid Deposits and Photoreceptor Loss Detecting Global and Local Progression of Geographic Atrophy by SD-OCT Imaging

      Subretinal Drusenoid Deposits and Photoreceptor Loss Detecting Global and Local Progression of Geographic Atrophy by SD-OCT Imaging
      Purpose : To investigate the impact of subretinal drusenoid deposits (SDD) and photoreceptor integrity on global and local geographic atrophy (GA) progression. Methods : Eighty-three eyes of 49 patients, aged 50 years and older with GA secondary to age-related macular degeneration (AMD), were prospectively included in this study. Participants underwent spectral-domain optical coherence tomography (SD-OCT) and fundus autofluorescence (FAF) imaging at baseline and after 12 months. The junctional zone and presence of ...
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    8. Characterization of Drusen and Hyperreflective Foci as Biomarkers for Disease Progression in Age-Related Macular Degeneration Using Artificial Intelligence in Optical Coherence Tomography

      Characterization of Drusen and Hyperreflective Foci as Biomarkers for Disease Progression in Age-Related Macular Degeneration Using Artificial Intelligence in Optical Coherence Tomography
      Importance The morphologic changes and their pathognomonic distribution in progressing age-related macular degeneration (AMD) are not well understood. Objectives To characterize the pathognomonic distribution and time course of morphologic patterns in AMD and to quantify changes distinctive for progression to macular neovascularization (MNV) and macular atrophy (MA). Design, Setting, and Participants This cohort study included optical coherence tomography (OCT) volumes from study participants with early or intermediate AMD in the ...
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    9. Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning

      Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning
      Diabetic macular edema (DME) and retina vein occlusion (RVO) are macular diseases in which central photoreceptors are affected due to pathological accumulation of fluid. Optical coherence tomography allows to visually assess and evaluate photoreceptor integrity, whose alteration has been observed as an important biomarker of both diseases. However, the manual quantification of this layered structure is challenging, tedious and time-consuming. In this paper we introduce a deep learning approach for ...
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    10. Application of automated quantification of fluid volumes to anti-VEGF therapy of neovascular age-related macular degeneration

      Application of automated quantification of fluid volumes to anti-VEGF therapy of neovascular age-related macular degeneration
      Purpose Anti-VEGF treatment of neovascular age-related macular degeneration (AMD) is a highly effective advance in the retinal armentarium. Optical coherence tomography (OCT) offering three-dimensional imaging of the retina is widely used to guide treatment. Although poor outcomes reported from clinical practice are multifactorial, availability of reliable, reproducible, and quantitative evaluation tools to accurately measure the fluid response i.e. a VEGF meter may be a better means of monitoring and ...
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    11. SWEPT SOURCE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY, FLUORESCEIN ANGIOGRAPHY, AND INDOCYANINE GREEN ANGIOGRAPHY COMPARISONS REVISITED

      SWEPT SOURCE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY, FLUORESCEIN ANGIOGRAPHY, AND INDOCYANINE GREEN ANGIOGRAPHY COMPARISONS REVISITED
      Purpose: To compare area measurements between swept source optical coherence tomography angiography ( SSOCTA ), fluorescein angiography ( FA ), and indocyanine green angiography ( ICGA ) after applying a novel deep-learning-assisted algorithm for accurate image registration. Methods: We applied an algorithm for the segmentation of blood vessels in FA , ICGA , and SSOCTA images of 24 eyes with treatment-naive neovascular age-related macular degeneration. We trained a model based on U-Net and Mask R-CNN for each imaging ...
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    12. Clinical Practice Settings vs Clinical Trials Is Artificial Intelligence the Answer?

      Clinical Practice Settings vs Clinical Trials Is Artificial Intelligence the Answer?
      At clinical conferences and in publications, use of the term real world is widespread. It describes physicians accumulated experience in treating patients. It is contrasted with academic trials. Randomized clinical trials differ from practice in that they have fixed prespecified inclusion and exclusion criteria, adherence to a prespecified protocol, and ideally good patient retention. Randomized clinical trials have an advantage against observational studies when comparing treatments because they largely control ...
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    13. Retinal and Choroidal Perfusion Status in the Area of Laser Scars Assessed With Swept-Source Optical Coherence Tomography Angiography

      Retinal and Choroidal Perfusion Status in the Area of Laser Scars Assessed With Swept-Source Optical Coherence Tomography Angiography
      Purpose : To evaluate the perfusion status of the retina and choriocapillaris in the area of laser scars on swept-source optical coherence tomography angiography (OCTA) images of eyes previously treated with panretinal photocoagulation (PRP). Methods : Cross-sectional exploratory analysis of swept-source OCTA images, which were retrospectively reviewed for laser scars. The appearance of the capillary networks in the area of previous laser were evaluated following a three-step grading system (normal/sparse/missing ...
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    14. An optical coherence tomography-based grading of diabetic maculopathy proposed by an international expert panel: The European School for Advanced Studies in Ophthalmology classification

      An optical coherence tomography-based grading of diabetic maculopathy proposed by an international expert panel: The European School for Advanced Studies in Ophthalmology classification
      Aims: To present an authoritative, universal, easy-to-use morphologic classification of diabetic maculopathy based on spectral domain optical coherence tomography. Methods: The first draft of the project was developed based on previously published classifications and a literature search regarding the spectral domain optical coherence tomography quantitative and qualitative features of diabetic maculopathy. This draft was sent to an international panel of retina experts for a first revision. The panel met at ...
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    15. U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography

      U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography
      The presence of drusen is the main hallmark of early/intermediate age-related macular degeneration (AMD). Therefore, automated drusen segmentation is an important step in image-guided management of AMD. There are two common approaches to drusen segmentation. In the first, the drusen are segmented directly as a binary classification task. In the second approach, the surrounding retinal layers (outer boundary retinal pigment epithelium (OBRPE) and Bruchs membrane (BM)) are segmented and ...
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    16. Systematic ultrastructural comparison of swept-source and full-depth spectral domain optical coherence tomography imaging of diabetic macular oedema

      Systematic ultrastructural comparison of swept-source and full-depth spectral domain optical coherence tomography imaging of diabetic macular oedema
      Background/Aims Optical coherence tomography (OCT) is commonly used to diagnose and assess diabetic macular oedema (DME). Swept-source OCT (SS-OCT) promises improved imaging depth and more independence from media opacities. Heidelberg Spectralis full-depth imaging (FDI) combines details at different depths to one representation. The aim of this study was to determine the comparability of the imaging methods concerning DME ultrastructure. Methods Two graders assessed the presence of typical DME phenomena ...
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  2. About Ursula Schmidt-Erfurth

    Ursula Schmidt-Erfurth

    Ursula M. Schmidt-Erfurth is a Professor of Opththalmology at the Vienna Medical University, Austria.

  3. Quotes

    1. Around 2.5 million people every year develop macular degeneration and diabetes-related retinopathy worldwide...Before OCT, around 20 per cent of patients with this condition worldwide went blind; now, however, it is only two per cent.
      In 200 years of the eye clinic: diseases of the retina can be predicted