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Article
Open AccessAutomated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study report 5)
Real-world retinal optical coherence tomography (OCT) scans are available in abundance in primary and secondary eye care centres. They contain a wealth of information to be analyzed in retrospective studies. T...
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Article
Open AccessMonitoring der Progression von geografischer Atrophie in der optischen Kohärenztomographie
Mit dem Ausblick auf eine zu erwartende Therapie für die geografische Atrophie und folglich steigenden Patientenzahlen bedarf es eines geeigneten Managements für die klinische Praxis. Die optische Kohärenztomo...
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Article
Open AccessClinical validation for automated geographic atrophy monitoring on OCT under complement inhibitory treatment
Geographic atrophy (GA) represents a late stage of age-related macular degeneration, which leads to irreversible vision loss. With the first successful therapeutic approach, namely complement inhibition, huge ...
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Chapter and Conference Paper
Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation
Deep learning has become a valuable tool for the automation of certain medical image segmentation tasks, significantly relieving the workload of medical specialists. Some of these tasks require segmentation to...
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Chapter and Conference Paper
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report
In the field of medical imaging, 3D deep learning models play a crucial role in building powerful predictive models of disease progression. However, the size of these models presents significant challenges, bo...
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Chapter and Conference Paper
SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors
Optical coherence tomography (OCT) is a non-invasive 3D modality widely used in ophthalmology for imaging the retina. Achieving automated, anatomically coherent retinal layer segmentation on OCT is important f...
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Chapter and Conference Paper
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT
In medical imaging, there are clinically relevant segmentation tasks where the output mask is a projection to a subset of input image dimensions. In this work, we propose a novel convolutional neural network ...