about
Discovering reliable protein interactions from high-throughput experimental data using network topology.Alterations in retinal microvascular geometry in young type 1 diabetes.Quantitative assessment of early diabetic retinopathy using fractal analysis.Retinal vascular tortuosity, blood pressure, and cardiovascular risk factors.Measurement of macular fractal dimension using a computer-assisted program.A new method to measure peripheral retinal vascular caliber over an extended area.Lens opacity and refractive influences on the measurement of retinal vascular fractal dimension.Effect of image quality, color, and format on the measurement of retinal vascular fractal dimension.Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.The retinal vasculature as a fractal: methodology, reliability, and relationship to blood pressure.Quantitative and qualitative retinal microvascular characteristics and blood pressure.Retinal vascular fractal dimension and its relationship with cardiovascular and ocular risk factors.Efficient remote homology detection using local structure.Increasing confidence of protein interactomes using network topological metrics.Correlation and reproducibility of retinal vascular geometric measurements for stereoscopic retinal images of the same eyes.Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore.Remote homolog detection using local sequence-structure correlationsOn the accurate counting of tumor cells
P50
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P50
description
researcher ORCID ID = 0000-0002-4142-8893
@en
wetenschapper
@nl
name
Wynne Hsu
@ast
Wynne Hsu
@en
Wynne Hsu
@es
Wynne Hsu
@nl
type
label
Wynne Hsu
@ast
Wynne Hsu
@en
Wynne Hsu
@es
Wynne Hsu
@nl
prefLabel
Wynne Hsu
@ast
Wynne Hsu
@en
Wynne Hsu
@es
Wynne Hsu
@nl
P1153
7402002763
P2456
h/WynneHsu
P31
P496
0000-0002-4142-8893