1. Georg Langs

    0 Comments Leave a Comment

    1-11 of 11
    1. Mentioned In 11 Articles

    2. Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images

      Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images
      Prediction of treatment responses from available data is key to optimizing personalized treatment. Retinal diseases are treated over long periods and patients response patterns differ substantially, ranging from a complete response to a recurrence of the disease and need for re-treatment at different intervals. Linking observable variables in high-dimensional observations to outcome is challenging. In this paper, we present and evaluate two different data-driven machine learning approaches operating in a ...
      Read Full Article
    3. Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Image

      Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Image
      Abstract: Prediction of treatment responses from available data is key to optimizing personalized treatment. Retinal diseases are treated over long periods and patients response patterns differ substantially, ranging from a complete response to a recurrence of the disease and need for re-treatment at different intervals. Linking observable variables in high-dimensional observations to outcome is challenging. In this paper, we present and evaluate two different data-driven machine learning approaches operating in ...
      Read Full Article
    4. Multivendor Spectral-Domain Optical Coherence Tomography Dataset, Observer Annotation Performance Evaluation, and Standardized Evaluation Framework for Intraretinal Cystoid Fluid Segmentation

      Multivendor Spectral-Domain Optical Coherence Tomography Dataset, Observer Annotation Performance Evaluation, and Standardized Evaluation Framework for Intraretinal Cystoid Fluid Segmentation
      Development of image analysis and machine learning methods for segmentation of clinically significant pathology in retinal spectral-domain optical coherence tomography (SD-OCT), used in disease detection and prediction, is limited due to the availability of expertly annotated reference data. Retinal segmentation methods use datasets that either are not publicly available, come from only one device, or use different evaluation methodologies making them difficult to compare. Thus we present and evaluate a ...
      Read Full Article
    5. Improve synthetic retinal OCT images with present of pathologies and textural information

      Improve synthetic retinal OCT images with present of pathologies and textural information
      The lack of noise free Optical Coherence Tomography (OCT) images makes it challenging to quantitatively evaluate performance of image processing methods such as denoising methods. The synthetic noise free OCT images are needed to evaluate performance of image processing methods. The current synthetic methods fail to generate synthetic images that represent real OCT images with present of pathologies. They cannot correctly imitate real OCT data due to a tendency to ...
      Read Full Article
    6. Geodesic denoising for optical coherence tomography images

      Geodesic denoising for optical coherence tomography images
      Optical coherence tomography (OCT) is an optical signal acquisition method capturing micrometer resolution, cross-sectional three-dimensional images. OCT images are used widely in ophthalmology to diagnose and monitor retinal diseases such as age-related macular degeneration (AMD) and Glaucoma. While OCT allows the visualization of retinal structures such as vessels and retinal layers, image quality and contrast is reduced by speckle noise, obfuscating small, low intensity structures and structural boundaries. Existing denoising ...
      Read Full Article
    7. Automated retinal fovea type distinction in spectral-domain optical coherence tomography of retinal vein occlusion

      Automated retinal fovea type distinction in spectral-domain optical coherence tomography of retinal vein occlusion
      ... of the abstract is permitted for personal use only. Jing Wu ; Sebastian M. Waldstein ; Bianca S. Gerendas ; Georg Langs ; Christian Simader ; Ursula Schmidt-Erfurth; Automated retinal fovea type distinction in spectral...
      Read Full Article
    8. Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry

      Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry
      Patient movements during the acquisition of SD-OCT scans create substantial motion artefacts in the volumetric data that hinder registration and 3D analysis and can be mistaken for pathologies. In this paper we propose a method to correct these artefacts using a single volume scan while still retaining the overall shape of the retina. The method was quantitatively validated using a set of synthetic SD-OCT volumes and qualitatively by a group ...
      Read Full Article
    9. Stable Registration of Pathological 3D SD-OCT Scans using Retinal Vessels

      Stable Registration of Pathological 3D SD-OCT Scans using Retinal Vessels
      We propose a multiple scanner vendor registration method for pathological retinal 3D spectral domain optical coherence tomography volumes based on Myronenkos Coherent Point Drift and our automated vessel shadow segmentation. Coherent point drift is applied to the segmented retinal vessel point sets used as landmarks to generate the registration parameters required. In contrast to other registration methods, our solution incorporates a landmark detection and extraction method that specifically limits the ...
      Read Full Article
    10. Post-Doc in Disease Detection in OCT at the Medical University of Vienna, Austria

      Post-Doc in Disease Detection in OCT at the Medical University of Vienna, Austria
      ... Novartis. The project is being led by a multidisciplinary team of faculty, including Ursula Schmidt-Erfurth, Georg Langs and Milan Sonka. With regard to computer vision, the project incorporates aspects of image segmen...
      Read Full Article
    11. Two Post-Doc, one PhD, and one Software Engineer Opening at the Medical University of Vienna

      Two Post-Doc, one PhD, and one Software Engineer Opening  at the Medical University of Vienna
      ... Novartis. The project is being led by a multidisciplinary team of faculty, including Ursula Schmidt-Erfurth, Georg Langs, Christoph Hitzenberger, Christian Simader and Milan Sonka. With regard to computer vision, the ...
      Read Full Article
    12. Post-doctoral Position: Computer Vision Research and Development in Retinal Imaging at Medical University of Vienna

      Post-doctoral Position: Computer Vision Research and Development in Retinal Imaging at Medical University of Vienna
      ...port to the director of the VRC, Christian Simader, the head of the CIR group at the Department of Radiology, Georg Langs, and the principal investigator and chair of Department of Ophthalmology, Ursula Schmidt-Erfurth. ...
      Read Full Article
    13. 1-11 of 11
  1. Categories

    1. Applications:

      Art, Cardiology, Dentistry, Dermatology, Developmental Biology, Gastroenterology, Gynecology, Microscopy, NDE/NDT, Neurology, Oncology, Ophthalmology, Other Non-Medical, Otolaryngology, Pulmonology, Urology
    2. Business News:

      Acquisition, Clinical Trials, Funding, Other Business News, Partnership, Patents
    3. Technology:

      Broadband Sources, Probes, Tunable Sources
    4. Miscellaneous:

      Jobs & Studentships, Student Theses, Textbooks
  2. About Georg Langs

    Georg Langs

    Georg Langs is with the Medical University of Vienna.