1. Ursula Schmidt-Erfurth

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    1. Mentioned In 142 Articles

    2. 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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    3. 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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    4. 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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    5. 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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    6. 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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    7. 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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    8. 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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    9. 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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    10. An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans

      An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans
      Segmenting anatomical structures such as the photoreceptor layer in retinal optical coherence tomography (OCT) scans is challenging in pathological scenarios. Supervised deep learning models trained with standard loss functions are usually able to characterize only the most common disease appeareance from a training set, resulting in suboptimal performance and poor generalization when dealing with unseen lesions. In this paper we propose to overcome this limitation by means of an augmented ...
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    11. Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography

      Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography
      Automated drusen segmentation in retinal optical coherence tomography (OCT) scans is relevant for understanding age-related macular degeneration (AMD) risk and progression. This task is usually performed by segmenting the top/bottom anatomical interfaces that define drusen, the outer boundary of the retinal pigment epithelium (OBRPE) and the Bruch's membrane (BM), respectively. In this paper we propose a novel multi-decoder architecture that tackles drusen segmentation as a multitask problem. Instead ...
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    12. Comparison of Spectralis and Cirrus spectral domain optical coherence tomography for the objective morphometric assessment of the neuroretinal rim width

      Comparison of Spectralis and Cirrus spectral domain optical coherence tomography for the objective morphometric assessment of the neuroretinal rim width
      Purpose The assessment of cup-disc ratio as a surrogate parameter for the neuroretinal rim width (NRW) of the optic nerve is well established, but prone to human error and imprecision. Objective assessment of the NRW is provided by spectral domain optical coherence tomography (SD-OCT). This study is the first to systematically compare NRW measurements acquired with the Carl Zeiss Meditech Cirrus HD-OCT 5000 and the Heidelberg Engineering Spectralis SD-OCT. Methods ...
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    13. Semi‐automated quantification of geographic atrophy with blue‐light autofluorescence and spectral‐domain optical coherence tomography: a comparison between the region finder and the advanced retinal pigment epithelium tool in the clinical setting

      Semi‐automated quantification of geographic atrophy with blue‐light autofluorescence and spectral‐domain optical coherence tomography: a comparison between the region finder and the advanced retinal pigment epithelium tool in the clinical setting
      Purpose To compare inter‐ and intraobserver reliability and intermodality agreement on quantification of geographic atrophy, using two routinely available quantification tools, based on blue‐light fundus autofluorescence (BAF) and spectral‐domain optical coherence tomography (SD‐OCT). Methods Quantifications of atrophic lesions within the central 5 mm of 30 eyes from 30 patients (mean age: 76.1 years) were independently performed by two clinicians on BAF images using the region finder ...
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    14. Summary of 6th International Meeting on OCT Angiography & Advances in OCT in Rome December 2018: A Tremendous Success

      Summary of 6th International Meeting on OCT Angiography & Advances in OCT in Rome December 2018: A Tremendous Success
      ...arl Csaky, Amani Fawzi, Nadia Waheed, Caroline Baumal, (USA), Albert Augustin, Daniel Pauleikhoff, (Germany), Ursula Schmidt-Erfurth, Wolfgang Drexler (Austria), Anat Loewenstein, Ethan Priel (Israel), Alain Gaudric, Eri...
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    15. Dynamic Changes of Retinal Microaneurysms in Diabetes Imaged With In Vivo Adaptive Optics Optical Coherence Tomography

      Dynamic Changes of Retinal Microaneurysms in Diabetes Imaged With In Vivo Adaptive Optics Optical Coherence Tomography
      Purpose : To prospectively monitor microaneurysms (MAs) in three dimensions using adaptive optics optical coherence tomography (AOOCT). Methods : Patients with diabetes mellitus and parafoveal MAs were included in this longitudinal study. At baseline, MAs were identified in standard fluorescein angiography (FA) and subsequently imaged with an AOOCT prototype, incorporated into an AO fundus camera (RTX1, Imagine Eyes) device. Imaging was repeated every 3 months in each patient to explore the potential ...
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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