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InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data
Treatments are prescribed to individuals in pursuit of contemporaneously unobserved outcomes, based on evidence derived from populations with...
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Causal Interpretability and Uncertainty Estimation in Mixture Density Networks
Neural network implementations have predominantly been a black box lacking both in interpretability and estimation of uncertainty. In this study, we...
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Automatic estimation of brain parenchymal fraction in patients with multple sclerosis: a comparison between synthetic MRI and an established automated brain segmentation software based on FSL
PurposeWe aimed to validate the estimation of the brain parenchymal fraction (BPF) in patients with multiple sclerosis (MS) using synthetic magnetic...
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Mechanics-informed snakes isogeometric analysis (MISIGA): an image-based method for the estimation of local deformation and strain in blood vessels
Abnormal deformation of blood vessels has been related to the onset and progression of prevalent cardiovascular diseases. This mechanical connection...
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How the AFCARS and NCANDS Can Provide Insight into Linked Administrative Data
Administrative data allow researchers to examine the reach and composition of the child welfare system service population, as well as the correlates...
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Compositional zero-inflated network estimation for microbiome data
BackgroundThe estimation of microbial networks can provide important insight into the ecological relationships among the organisms that comprise the...
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Characteristics of PM2.5 and Its Reactive Oxygen Species in Heating Energy Transition and Estimation of Its Impact on the Environment and Health in China—A Case Study in the Fenwei Plain
To reduce the adverse effects of traditional domestic solid fuel, the central government began implementing a clean heating policy in northern China...
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More efficient and inclusive time-to-event trials with covariate adjustment: a simulation study
Adjustment for prognostic covariates increases the statistical power of randomized trials. The factors influencing the increase of power are...
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Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering
Disease heterogeneity has been a critical challenge for precision diagnosis and treatment, especially in neurologic and neuropsychiatric diseases....
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Scan-Free and Fully Automatic Tracking of Native Knee Anatomy from Dynamic Stereo-Radiography with Statistical Shape and Intensity Models
Kinematic tracking of native anatomy from stereo-radiography provides a quantitative basis for evaluating human movement. Conventional tracking...
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Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis
Sepsis is a life-threatening condition with a high in-hospital mortality rate. The timing of antibiotic administration poses a critical problem for...
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In vivo characterization of microglia and myelin relation in multiple sclerosis by combined 11C-PBR28 PET and synthetic MRI
BackgroundThe in vivo relation between microglia activation and demyelination in multiple sclerosis is still unclear.
ObjectiveWe combined 11 C-PBR28...
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Simultaneous PET/MR Imaging of Dementia
Integrated positron emission tomography and magnetic resonance imaging (PET/MRI) scanners capable of acquiring complementary data simultaneously are...
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Next-generation biomonitoring of the early-life chemical exposome in neonatal and infant development
Exposure to synthetic and natural chemicals is a major environmental risk factor in the etiology of many chronic diseases. Investigating complex...
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Tracking of Blood Vessels Motion from 4D-flow MRI Data
This paper presents a novel approach to track objects from 4D-flow MRI data. A salient feature of the proposed method is that it fully exploits the...
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COVID-19 and Local Mortality Estimates
This chapter provides an overview of the leading research on mortality estimates during the COVID-19 pandemic, with a specific focus on the local...
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Prospective association between organic food consumption and the risk of type 2 diabetes: findings from the NutriNet-Santé cohort study
BackgroundOrganic food (OF) consumption has substantially increased in high income countries, mostly driven by environmental concerns and health...
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Minimizing bias in massive multi-arm observational studies with BCAUS: balancing covariates automatically using supervision
BackgroundObservational studies are increasingly being used to provide supplementary evidence in addition to Randomized Control Trials (RCTs) because...
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Elastic Correlation Adjusted Regression (ECAR) scores for high dimensional variable importance measuring
Investigation of the genetic basis of traits or clinical outcomes heavily relies on identifying relevant variables in molecular data. However,...
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Jointly De-Biasing Face Recognition and Demographic Attribute Estimation
We address the problem of bias in automated face recognition and demographic attribute estimation algorithms, where errors are lower on certain...