Ophthalmic Medical Image Analysis
10th International Workshop, OMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
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Article
Open AccessInvestigation of inter-rater and test-retest reliability of Y balance test in college students with flexible flatfoot
The Lower Quarter Y Balance Test (YBT-LQ) has been widely used to assess dynamic balance in various populations. Dynamic balance in flexible flatfoot populations is one of the risk factors for lower extremity ...
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Article
Hydration Behavior and Cementitious Properties of Calcium Carbonate-aluminate Minerals Composite
The purpose of this research is to investigate the hydration behavior and cementitious properties of the mixture of calcium carbonate and aluminate, and to explore whether it can be adopted as a new low-carbon...
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Chapter and Conference Paper
Weakly/Semi-supervised Left Ventricle Segmentation in 2D Echocardiography with Uncertain Region-Aware Contrastive Learning
Segmentation of the left ventricle in 2D echocardiography is essential for cardiac function measures, such as ejection fraction. Fully-supervised algorithms have been used in the past to segment the left ventr...
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Article
Open AccessRapid imaging and product screening with low-cost line-field Fourier domain optical coherence tomography
Fourier domain optical coherence tomography (FD-OCT) is a well-established imaging technique that provides high-resolution internal structure images of an object at a fast speed. Modern FD-OCT systems typicall...
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Article
Open AccessRetinal imaging technologies in cerebral malaria: a systematic review
Cerebral malaria (CM) continues to present a major health challenge, particularly in sub-Saharan Africa. CM is associated with a characteristic malarial retinopathy (MR) with diagnostic and prognostic signific...
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Article
Open AccessA systematic review of OCT and OCT angiography in retinal vasculitis
Retinal vasculitis is a component of uveitis for which the Standardisation of Uveitis Nomenclature (SUN) working group has no standard diagnostic criteria or severity grading. Fluorescein angiography is the go...
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Chapter and Conference Paper
Polar-Net: A Clinical-Friendly Model for Alzheimer’s Disease Detection in OCTA Images
Optical Coherence Tomography Angiography (OCTA) is a promising tool for detecting Alzheimer’s disease (AD) by imaging the retinal microvasculature. Ophthalmologists commonly use region-based analysis, such as ...
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Chapter and Conference Paper
Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-Focused nnU-Net
Atrial fibrillation (AF) is the most common cardiac arrhythmia. Accurate segmentation of the left atrial (LA) and LA scars can provide valuable information to predict treatment outcomes in AF. In this paper, w...
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Chapter and Conference Paper
Electrocardiogram Two-Dimensional Motifs: A Study Directed at Cardio Vascular Disease Classification
A process is described, using the concept of 2D motifs and 2D discords, to build classification models to classify Cardiovascular Disease using Electrocardiogram (ECG) data as the primary input. The motivation...
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Book and Conference Proceedings
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Article
Open AccessUsing a graph-based image segmentation algorithm for remote vital sign estimation and monitoring
Reliable and contactless measurements of vital signs, such as respiration and heart rate, are still unmet needs in clinical and home settings. Mm-wave radar and video-based technologies are promising, but curr...
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Article
Open AccessAnatomical and functional outcomes of pneumatic vitreolysis for treatment of vitreomacular traction with and without macular holes
To evaluate the outcome of pneumatic vitreolysis (PVL) for vitreomacular traction (VMT) with or without full thickness macular hole (MH) < 400 µm.
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Article
Open AccessArtificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes
We aimed to develop an artificial intelligence (AI)-based deep learning algorithm (DLA) applying attribution methods without image segmentation to corneal confocal microscopy images and to accurately classify ...
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Article
Open AccessMachine learning-based predictions of dietary restriction associations across ageing-related genes
Dietary restriction (DR) is the most studied pro-longevity intervention; however, a complete understanding of its underlying mechanisms remains elusive, and new research directions may emerge from the identifi...
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Chapter and Conference Paper
Correction to: Ophthalmic Medical Image Analysis
In an older version of this chapter, the title was incomplete. This has been corrected.
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Chapter and Conference Paper
Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency
Glaucoma is a chronic eye disease that permanently impairs vision. Vertical cup to disc ratio (vCDR) is essential for glaucoma screening. Thus, accurately segmenting the optic disc (OD) and optic cup (OC) from co...
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Chapter and Conference Paper
NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation
The segmentation of corneal nerves in corneal confocal microscopy (CCM) is of great to the quantification of clinical parameters in the diagnosis of eye-related diseases and systematic diseases. Existing work...
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Chapter
Application of Deep Learning Models in the Evaluation of Histopathology of Uveal Melanoma
Digital pathology is being increasingly implemented in basic and translational research, as well as in routine clinical care for diagnostics and prognostication. With the latter, it is essentially an additiona...
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Book and Conference Proceedings
Ophthalmic Medical Image Analysis
9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings
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Chapter and Conference Paper
Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor
The classification of cardiovascular diseases using ECG data is considered. It is argued that to obtain a satisfactory classification features should be extracted from ECG images in their entirety, instead of ...
