5 citations · 5 across the 5 of their papers we have counts for
5 papers
Semi-parametric Benchmark Dose Analysis with Monotone Additive Models
Alex Stringer, Tugba Akkaya Hocagil, Richard Cook +3
Benchmark dose analysis aims to estimate the level of exposure to a toxin that results in a clinically-significant adverse outcome and quantifies uncertainty using the lower limit…
Bayesian outcome selection modelling
Khue-Dung Dang, Louise M. Ryan, Richard J. Cook +3
Psychiatric and social epidemiology often involves assessing the effects of environmental exposure on outcomes that are difficult to measure directly. To address this problem, it i…
Bayesian structural equation modeling for data from multiple cohorts
Khue-Dung Dang, Louise M. Ryan, Tugba Akkaya-Hocagil +7
While it is well known that high levels of prenatal alcohol exposure (PAE) result in significant cognitive deficits in children, the exact nature of the dose response is less well…
A Hierarchical Meta-Analysis for Settings Involving Multiple Outcomes across Multiple Cohorts
Tugba Akkaya Hocagil, Louise M. Ryan, Richard J. Cook +6
Evidence from animal models and epidemiological studies has linked prenatal alcohol exposure (PAE) to a broad range of long-term cognitive and behavioral deficits. However, there i…
Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks
Amod Jog, P. Ellen Grant, Joseph L. Jacobson +4
Skullstripping is defined as the task of segmenting brain tissue from a full head magnetic resonance image~(MRI). It is a critical component in neuroimage processing pipelines. Dow…