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researcher

J. L. Jacobson

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME2
  • cs.CV1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedFast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks

5 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2022

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…

stat.AP2020

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…

stat.ME2020

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…

cs.CV2019★ 5 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.