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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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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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01/11/2023
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration
Age-related macular degeneration (AMD) is the leading cause of blindness...
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08/04/2022
Metadata-enhanced contrastive learning from retinal optical coherence tomography images
Supervised deep learning algorithms hold great potential to automate scr...
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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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06/30/2022
TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes
Recent contrastive learning methods achieved state-of-the-art in low lab...
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10/21/2019
