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BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities
Reliable quantification of white matter hyperintensities of presumed vascular origin (WMHs) is increasingly needed, given the presence of these MRI findings in patients with several neurological andExpand
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Effectiveness of 7.5 Percent Povidone Iodine in Comparison to 1 Percent Clotrimazole with Lignocaine in the Treatment of Otomycosis
Objectives. Otomycosis is a common ENT disease frequenting the tropics. Its recurrent nature poses a great challenge to the treating physician. In spite of a number of antifungals in the market, theExpand
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Automated lesion segmentation with BIANCA: impact of population-level features, classification algorithm and locally adaptive thresholding
White matter hyperintensities (WMH) or white matter lesions exhibit high variability in their characteristics both at population- and subject-level, making their detection a challenging task.Expand
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Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks
Automatic analysis of fetal echocardiography screening images could aid in the identification of congenital heart diseases. The first step towards automatic fetal echocardiography analysis isExpand
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Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding
White matter hyperintensities (WMH) or white matter lesions exhibit high variability in their characteristics both at population- and subject-level, making their detection a challenging task.Expand
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Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference
&NA; White matter hyperintensities (WMH), also known as white matter lesions, are localised white matter areas that appear hyperintense on MRI scans. WMH commonly occur in the ageing population, andExpand
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Adaptive Super-Candidate Based Approach for Detection and Classification of Drusen on Retinal Fundus Images
Identification and characterization of drusen is essential for the severity assessment of age-related macular degeneration (AMD). Presented here is a novel super-candidate based approach, combinedExpand
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Computer-assisted grading of diabetic macular edema on retinal color fundus images
Diabetic macular edema (DME) is one of the vision-impairing manifestations of Diabetic Retinopathy (DR). Early detection and treatment of DME can prevent permanent vision loss in people sufferingExpand
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Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images
White matter hyperintensities (WMHs) have been associated with various cerebrovascular and neurodegenerative diseases. Reliable quantification of WMHs is essential for understanding their clinicalExpand