Thomas O’Connell
Biographic Data
| ID | 7805343 |
|---|---|
| NAME | Thomas O’Connell |
| GIVEN NAMES | Thomas |
| FAMILY NAME | O’Connell |
| SIGNATURE | O’CONNELL T |
| AFFILIATIONS | United Nations Children's Fund |
| ORCID | 0000-0002-6003-008X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Approximating Human-Level 3D Visual Inferences With Deep Neural Networks
Humans make rich inferences about the geometry of the visual world. While deep neural networks (DNNs) achieve human-level performance on some psychophysical tasks (e.g., rapid classification of object or scene categories), they often fail in tasks requiring inferences about the underlying shape of objects or scenes. Here, we ask whether and how this gap in 3D shape representation between DNNs and humans can be closed. First, we define the problem…
Child health and the implementation of Community and District-management Empowerment for Scale-up (Codes) in Uganda
INTRODUCTION: Uganda's district-level administrative units buttress the public healthcare system. In many districts, however, local capacity is incommensurate with that required to plan and implement quality health interventions. This study investigates how a district management strategy informed by local data and community dialogue influences health services. METHODS: A 3-year randomised controlled trial (RCT) comprised of 16 Ugandan districts t…
An analysis of three levels of scaled-up coverage for 28 interventions to avert stillbirths and maternal, newborn and child mortality in 27 countries in Latin America and the Caribbean with the Lives …
Our modelling suggests a 337 % increase in the number of lives saved, which would have enormous impacts on population health. Further research could help clarify the impacts of a comprehensive scale-up of the full range of essential MNCH interventions we have modelled
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An analysis of three levels of scaled-up coverage for 28 interventions to avert stillbirths and maternal, newborn and child mortality in 27 countries in Latin America and the Caribbean with the Lives …
Our modelling suggests a 337 % increase in the number of lives saved, which would have enormous impacts on population health. Further research could help clarify the impacts of a comprehensive scale-up of the full range of essential MNCH interventions we have modelled
Child health and the implementation of Community and District-management Empowerment for Scale-up (Codes) in Uganda
INTRODUCTION: Uganda's district-level administrative units buttress the public healthcare system. In many districts, however, local capacity is incommensurate with that required to plan and implement quality health interventions. This study investigates how a district management strategy informed by local data and community dialogue influences health services. METHODS: A 3-year randomised controlled trial (RCT) comprised of 16 Ugandan districts t…
Approximating Human-Level 3D Visual Inferences With Deep Neural Networks
Humans make rich inferences about the geometry of the visual world. While deep neural networks (DNNs) achieve human-level performance on some psychophysical tasks (e.g., rapid classification of object or scene categories), they often fail in tasks requiring inferences about the underlying shape of objects or scenes. Here, we ask whether and how this gap in 3D shape representation between DNNs and humans can be closed. First, we define the problem…
Environmental health (2 works) · Global Maternal and Child Health (2 works) · Medicine (2 works) · Population (2 works) · Psychological intervention (2 works) · Public health (2 works) · 3D Shape Modeling and Analysis (1 works) · Advanced Vision and Imaging (1 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works)