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Article
Open AccessInterpretable detection of epiretinal membrane from optical coherence tomography with deep neural networks
This study aimed to automatically detect epiretinal membranes (ERM) in various OCT-scans of the central and paracentral macula region and classify them by size using deep-neural-networks (DNNs). To this end, 1...
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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...
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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...
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Article
Potenzial von Methoden der künstlichen Intelligenz für die Qualitätssicherung
Verfahren der künstlichen Intelligenz (KI) wie künstliche neuronale Netzwerke zeigen vielversprechende Ergebnisse im Bereich der automatisierten Analyse ophthalmologischer Bilddaten.
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Chapter and Conference Paper
Efficient and Automatic Subspace Relevance Determination via Multiple Kernel Learning for High-Dimensional Neuroimaging Data
Alzheimer’s disease is a major cause of dementia. Its pathology induces complex spatial patterns of brain atrophy that evolve as the disease progresses. The diagnosis requires accurate biomarkers that are sens...
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Article
Open AccessLeveraging uncertainty information from deep neural networks for disease detection
Deep learning (DL) has revolutionized the field of computer vision and image processing. In medical imaging, algorithmic solutions based on DL have been shown to achieve high performance on tasks that previous...
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Chapter and Conference Paper
Composite Kernels for Automatic Relevance Determination in Computerized Diagnosis of Alzheimer’s Disease
Voxel-based analysis of neuroimagery provides a promising source of information for early diagnosis of Alzheimer’s disease. However, neuroimaging procedures usually generate high-dimensional data. This complic...
