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08/18/2023
SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT
The Segment Anything Model (SAM) has gained significant attention in the...
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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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11/08/2022
Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data
Robust forecasting of the future anatomical changes inflicted by an ongo...
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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
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT
In medical imaging, there are clinically relevant segmentation tasks whe...
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02/10/2020
Knowledge Distillation for Brain Tumor Segmentation
The segmentation of brain tumors in multimodal MRIs is one of the most c...
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11/05/2018