OCTolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO) data.
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CoRR, 2024
SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images.
CoRR, 2024
Domain-specific augmentations with resolution agnostic self-attention mechanism improves choroid segmentation in optical coherence tomography images.
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CoRR, 2024
Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography.
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CoRR, 2023
A publicly available vessel segmentation algorithm for SLO images.
CoRR, 2023
A method for quantifying sectoral optic disc pallor in fundus photographs and its association with peripapillary RNFL thickness.
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CoRR, 2023
Efficient and fully-automatic retinal choroid segmentation in OCT through DL-based distillation of a hand-crafted pipeline.
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CoRR, 2023
Data Efficiency of Segment Anything Model for Optic Disc and Cup Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Associations Between Retinal Microvasculature Changes and Gray Matter Volume in a Mid-Life Cohort at Risk of Developing Alzheimer's Disease.
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Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023
Retinal vascular measures from diabetes retinal screening photographs and risk of incident dementia in type 2 diabetes: A GoDARTS study.
Frontiers Digit. Health, 2022
Rethinking Retinal Image Quality: Treating Quality Threshold as a Tunable Hyperparameter.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022
Analysing Optical Coherence Tomography Angiography of Mid-Life Persons at Risk of Developing Alzheimer's Disease Later in Life.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification.
Medical Image Anal., 2021
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis.
Inf. Fusion, 2021
On the quantitative effects of compression of retinal fundus images on morphometric vascular measurements in VAMPIRE.
Comput. Methods Programs Biomed., 2021
Reproducibility of Retinal Vascular Phenotypes Obtained with Optical Coherence Tomography Angiography: Importance of Vessel Segmentation.
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Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population.
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Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
A Framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography (OCTA).
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Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020
Using orthogonal locality preserving projections to find dominant features for classifying retinal blood vessels.
Multim. Tools Appl., 2019
Automated and Network Structure Preserving Segmentation of Optical Coherence Tomography Angiograms.
CoRR, 2019
TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019
A Graph Cut Approach to Artery/Vein Classification in Ultra-Widefield Scanning Laser Ophthalmoscopy.
IEEE Trans. Medical Imaging, 2018
A two-stage 3D Unet framework for multi-class segmentation on full resolution image.
CoRR, 2018
Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis.
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CoRR, 2018
Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018
A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Towards Standardization of Retinal Vascular Measurements: On the Effect of Image Centering.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018
Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population.
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Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
Automatic multi-parametric MR registration method using mutual information based on adaptive asymmetric k-means binning.
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Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Automatic retinal vessel classification using a Least Square-Support Vector Machine in VAMPIRE.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Retinal vessel classification: Sorting arteries and veins.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Investigating post-processing of scanning laser ophthalmoscope images for unsupervised retinal blood vessel detection.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
VAMPIRE: Vessel assessment and measurement platform for images of the REtina.
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Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
A reliability study of fractal analysis of the skeletonised vascular network using the "box-counting" technique.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Thickness dependent tortuosity estimation for retinal blood vessels.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006