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05/13/2023
PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation
Pathologic myopia (PM) is a common blinding retinal degeneration suffere...
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10/06/2022
A ResNet is All You Need? Modeling A Strong Baseline for Detecting Referable Diabetic Retinopathy in Fundus Images
Deep learning is currently the state-of-the-art for automated detection ...
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10/05/2022
A deep learning model for brain vessel segmentation in 3DRA with arteriovenous malformations
Segmentation of brain arterio-venous malformations (bAVMs) in 3D rotatio...
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09/28/2022
Assessing Coarse-to-Fine Deep Learning Models for Optic Disc and Cup Segmentation in Fundus Images
Automated optic disc (OD) and optic cup (OC) segmentation in fundus imag...
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02/18/2022
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment
Glaucoma is the second leading cause of blindness and is the leading cau...
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02/16/2022
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
Age-related macular degeneration (AMD) is the leading cause of visual im...
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02/14/2022
GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges
Color fundus photography and Optical Coherence Tomography (OCT) are the ...
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05/05/2020
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography
Angle closure glaucoma (ACG) is a more aggressive disease than open-angl...
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11/29/2019
SketchZooms: Deep multi-view descriptors for matching line drawings
Finding point-wise correspondences between images is a long-standing pro...
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06/18/2019
Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography
Automated drusen segmentation in retinal optical coherence tomography (O...
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05/29/2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT
Diagnosis and treatment guidance are aided by detecting relevant biomark...
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01/24/2019
Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation
Optical coherence tomography (OCT) has become the most important imaging...
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01/23/2019
U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans
In this paper, we introduce a Bayesian deep learning based model for seg...
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05/25/2018
Towards a glaucoma risk index based on simulated hemodynamics from fundus images
Glaucoma is the leading cause of irreversible but preventable blindness ...
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06/09/2017