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07/25/2023
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT
In the field of medical imaging, 3D deep learning models play a crucial ...
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07/06/2023
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 m...
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04/17/2023
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT
The lack of reliable biomarkers makes predicting the conversion from int...
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10/26/2022
Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification
Bruch's membrane (BM) segmentation on optical coherence tomography (OCT)...
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07/01/2022
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 ...
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08/02/2021