ArticleBiomedical optics express2024
MEMO: dataset and methods for robust multimodal retinal image registration with large or small vessel density differences.
Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Deep learning-based optimization for accurate multimodal medical image registration.Scientific reports · 2025Article
- RetinaRegNet: A zero-shot approach for retinal image registration.Computers in biology and medicine · 2025Article
- COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" database.Scientific data · 2025Article
- RDLR: A Robust Deep Learning-Based Image Registration Method for Pediatric Retinal Images.Journal of imaging informatics in medicine · 2024Article
- Plexus-Specific Retinal Capillary Blood Flow Analysis Using Erythrocyte Mediated Angiography and Optical Coherence Tomography Angiography.Investigative ophthalmology & visual science · 2024Article
- When Two Eyes Don't Suffice-Learning Difficult Hyperfluorescence Segmentations in Retinal Fundus Autofluorescence Images via Ensemble Learning.Journal of imaging · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
The measurement of retinal blood flow (RBF) in capillaries can provide a powerful biomarker for the early diagnosis and treatment of ocular diseases. However, no single modality can determine capillary flowrates with high precision. Combining erythrocyte-mediated angiography (EMA) with optical coherence tomography angiography (OCTA) has the potential to achieve this goal, as EMA can measure the absolute RBF of retinal microvasculature and OCTA can provide the structural images of capillaries. However, multimodal retinal image registration between these two modalities remains largely unexplored. To fill this gap, we establish
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Registered trials
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