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07/01/2023
Deep Angiogram: Trivializing Retinal Vessel Segmentation
Among the research efforts to segment the retinal vasculature from fundu...
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03/10/2023
Self-Supervised CSF Inpainting with Synthetic Atrophy for Improved Accuracy Validation of Cortical Surface Analyses
Accuracy validation of cortical thickness measurement is a difficult pro...
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04/29/2022
Segmentation of kidney stones in endoscopic video feeds
Image segmentation has been increasingly applied in medical settings as ...
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01/27/2022
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
Optical coherence tomography (OCT) is a prevalent non-invasive imaging m...
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01/08/2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation
Domain Adaptation (DA) has recently raised strong interests in the medic...
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09/24/2021
Unsupervised Cross-Modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble
Magnetic resonance images (MRIs) are widely used to quantify vestibular ...
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07/09/2021
Retinal OCT Denoising with Pseudo-Multimodal Fusion Network
Optical coherence tomography (OCT) is a prevalent imaging technique for ...
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07/09/2021
LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation
Optical coherence tomography (OCT) is a non-invasive imaging technique w...
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12/12/2020
Multiple Sclerosis Lesion Segmentation – A Survey of Supervised CNN-Based Methods
Lesion segmentation is a core task for quantitative analysis of MRI scan...
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01/23/2020
Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis of Deformation Fields in Huntington's Disease
The improvements in magnetic resonance imaging have led to the developme...
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03/10/2019
Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative
We present a fully automated learning-based approach for segmenting knee...
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03/30/2017