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Article
Large-scale correlation screening under dependence for brain functional connectivity network inference
Data produced by resting-state functional Magnetic Resonance Imaging are widely used to infer brain functional connectivity networks. Such networks correlate neural signals to connect brain regions, which cons...
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Chapter
On Rao’s Weighted Distributions for Modeling the Dynamics of Wildfires and Air Pollution
Among the numerous contributions of C. R. Rao to the field of statistics, his formulation of weighted probability distributions in 1963 has received relatively less attention. Yet, the topic has been found rel...
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Article
Open AccessCircular functional analysis of OCT data for precise identification of structural phenotypes in the eye
Progressive optic neuropathies such as glaucoma are major causes of blindness globally. Multiple sources of subjectivity and analytical challenges are often encountered by clinicians in the process of early di...
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Article
The Magnitude of Blood Pressure Reduction Predicts Poor In-Hospital Outcome in Acute Intracerebral Hemorrhage
Early systolic blood pressure (SBP) reduction is believed to improve outcome after spontaneous intracerebral hemorrhage (ICH), but there has been a limited assessment of SBP trajectories in individual patients...
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Article
Exploration of Multiparameter Hematoma 3D Image Analysis for Predicting Outcome After Intracerebral Hemorrhage
Rapid diagnosis and proper management of intracerebral hemorrhage (ICH) play a crucial role in the outcome. Prediction of the outcome with a high degree of accuracy based on admission data including imaging in...
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Article
Open AccessHistogram-based models on non-thin section chest CT predict invasiveness of primary lung adenocarcinoma subsolid nodules
109 pathologically proven subsolid nodules (SSN) were segmented by 2 readers on non-thin section chest CT with a lung nodule analysis software followed by extraction of CT attenuation histogram and geometric f...
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Article
Quantifying Infinite-Dimensional Data: Functional Data Analysis in Action
Functional data analysis (FDA) is concerned with inherently infinite-dimensional data objects and therefore can be viewed as part of the methodology for big data. The size of functional data may vary from tera...