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  1. Article

    Open Access

    Visusmindernde Irispigmentepithelzysten

    Dr. med. Hauke M. Schadwinkel, Bettina Fuisting, Carsten Grohmann in Die Ophthalmologie (2024)

  2. No Access

    Article

    Image quality assessment of retinal fundus photographs for diabetic retinopathy in the machine learning era: a review

    This study aimed to evaluate the image quality assessment (IQA) and quality criteria employed in publicly available datasets for diabetic retinopathy (DR). A literature search strategy was used to identify rel...

    Mariana Batista Gonçalves, Luis Filipe Nakayama, Daniel Ferraz, Hanna Faber in Eye (2024)

  3. No Access

    Living Reference Work Entry In depth

    Hirnnervenparesen

    Hirnnervenparesen sind durch Hirnnervenläsionen bedingte okuläre Motilitätsstörungen. Sie sind von kortikalen Störungen der koordinierten Augenbeweglichkeit, sog. supranukleären Störungen, zu unterscheiden. Ke...

    Hanna Faber, Frank Schüttauf in Die Augenheilkunde

  4. No Access

    Chapter and Conference Paper

    Visual Explanations for the Detection of Diabetic Retinopathy from Retinal Fundus Images

    In medical image classification tasks like the detection of diabetic retinopathy from retinal fundus images, it is highly desirable to get visual explanations for the decisions of black-box deep neural network...

    Valentyn Boreiko, Indu Ilanchezian in Medical Image Computing and Computer Assis… (2022)

  5. No Access

    Chapter and Conference Paper

    Interpretable Gender Classification from Retinal Fundus Images Using BagNets

    Deep neural networks (DNNs) are able to predict a person’s gender from retinal fundus images with high accuracy, even though this task is usually considered hardly possible by ophthalmologists. Therefore, it h...

    Indu Ilanchezian, Dmitry Kobak, Hanna Faber in Medical Image Computing and Computer Assis… (2021)