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A picture tells a thousand…exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology

Environment international, 2019-01, Vol.122, p.3-10

2019

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Health and climate benefits of Electric Vehicle Deployment in the Greater Toronto and Hamilton Area

Environmental pollution (1987), 2020-10, Vol.265, p.114983-114983, Article 114983

2020

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Mobile monitoring and spatial prediction of black carbon in Cairo, Egypt

Environmental monitoring and assessment, 2021-09, Vol.193 (9), p.587-587, Article 587

2021

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Within-city spatial variations in PM2.5 magnetite nanoparticles and brain cancer incidence in Toronto and Montreal, Canada

Scientific reports, 2024-05, Vol.14 (1), p.12136-12136, Article 12136

2024

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Drivers of seasonal and annual air pollution exposure in a complex urban environment with multiple source contributions

Environmental monitoring and assessment, 2020-06, Vol.192 (7), Article 415

2020

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Investigating the Use Of Portable Air Pollution Sensors to Capture the Spatial Variability Of Traffic-Related Air Pollution

Environmental science & technology, 2016-01, Vol.50 (1), p.313-320

2016

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Assessing the intra-urban variability of nitrogen oxides and ozone across a highly heterogeneous urban area

Environmental monitoring and assessment, 2021-10, Vol.193 (10), Article 657

2021

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Accommodating exogenous variable and decision rule heterogeneity in discrete choice models: Application to bicyclist route choice

PloS one, 2018-11, Vol.13 (11), p.e0208309-e0208309

2018

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Investigating the isolated and combined effects of congestion, roadway grade, passenger load, and alternative fuels on transit bus emissions

Transportation research. Part D, Transport and environment, 2014-06, Vol.29, p.12-21

2014

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Long-term exposure to ambient ultrafine particles and respiratory disease incidence in in Toronto, Canada: a cohort study

Environmental health, 2017-06, Vol.16 (1), p.64-64, Article 64

2017

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Predicting spatial variations in annual average outdoor ultrafine particle concentrations in Montreal and Toronto, Canada: Integrating land use regression and deep learning models

Environment international, 2023-08, Vol.178, p.108106-108106, Article 108106

2023

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The impact of traffic volume, composition, and road geometry on personal air pollution exposures among cyclists in Montreal, Canada

Journal of exposure science & environmental epidemiology, 2013-01, Vol.23 (1), p.46-51

2013

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Acute cardiovascular health effects in a panel study of personal exposure to traffic-related air pollutants and noise in Toronto, Canada

Scientific reports, 2020-10, Vol.10 (1), p.16703, Article 16703

2020

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Statistical modeling of the spatial variability of environmental noise levels in Montreal, Canada, using noise measurements and land use characteristics

Journal of exposure science & environmental epidemiology, 2016-11, Vol.26 (6), p.597-605

2016

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Capturing the Variability in Instantaneous Vehicle Emissions Based on Field Test Data

Atmosphere, 2020-07, Vol.11 (7), p.765

2020

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Ambient ultrafine particle concentrations and incidence of childhood cancers

Environment international, 2020-12, Vol.145, p.106135, Article 106135

2020

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Spatial variations in ambient ultrafine particle concentrations and risk of congenital heart defects

Environment international, 2019-09, Vol.130, p.104953, Article 104953

2019

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Fifteen Years of Community Exposure to Heavy-Duty Emissions: Capturing Disparities over Space and Time

Environmental science & technology, 2022-12, Vol.56 (23), p.16621-16632

2022

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Does early life exposure to exogenous sources of reactive oxygen species (ROS) increase the risk of respiratory and allergic diseases in children? A longitudinal cohort study

Environmental health, 2022-10, Vol.21 (1), p.90-6, Article 90

2022

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Relationships between long-term residential exposure to total environmental noise and stroke incidence

Noise & health, 2022-04, Vol.24 (113), p.33-39

2022

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Long-term exposure to a mixture of industrial SO2, NO2, and PM2.5 and anti-citrullinated protein antibody positivity

Environmental health, 2020-07, Vol.19 (1), p.1-86, Article 86

2020

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Reducing transit bus emissions: Alternative fuels or traffic operations?

Atmospheric environment (1994), 2014-06, Vol.89, p.129-139

2014

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A machine learning approach capturing the effects of driving behaviour and driver characteristics on trip-level emissions

Atmospheric environment (1994), 2020-03, Vol.224, p.117311, Article 117311

2020

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Greenhouse Gas Emissions and Potential for Electrifying Transportation Network Companies in Toronto

Transportation research record, 2024-04

2024

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Electric vehicle charging optimization to minimize marginal greenhouse gas emissions from power generation

Applied energy, 2020-11, Vol.277 (C), p.115517, Article 115517

2020

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A picture tells a thousand…exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology

Health and climate benefits of Electric Vehicle Deployment in the Greater Toronto and Hamilton Area

Mobile monitoring and spatial prediction of black carbon in Cairo, Egypt

Within-city spatial variations in PM2.5 magnetite nanoparticles and brain cancer incidence in Toronto and Montreal, Canada

Drivers of seasonal and annual air pollution exposure in a complex urban environment with multiple source contributions

Investigating the Use Of Portable Air Pollution Sensors to Capture the Spatial Variability Of Traffic-Related Air Pollution

Assessing the intra-urban variability of nitrogen oxides and ozone across a highly heterogeneous urban area

Accommodating exogenous variable and decision rule heterogeneity in discrete choice models: Application to bicyclist route choice

Investigating the isolated and combined effects of congestion, roadway grade, passenger load, and alternative fuels on transit bus emissions

Long-term exposure to ambient ultrafine particles and respiratory disease incidence in in Toronto, Canada: a cohort study

Predicting spatial variations in annual average outdoor ultrafine particle concentrations in Montreal and Toronto, Canada: Integrating land use regression and deep learning models

The impact of traffic volume, composition, and road geometry on personal air pollution exposures among cyclists in Montreal, Canada

Acute cardiovascular health effects in a panel study of personal exposure to traffic-related air pollutants and noise in Toronto, Canada

Statistical modeling of the spatial variability of environmental noise levels in Montreal, Canada, using noise measurements and land use characteristics

Capturing the Variability in Instantaneous Vehicle Emissions Based on Field Test Data

Ambient ultrafine particle concentrations and incidence of childhood cancers

Spatial variations in ambient ultrafine particle concentrations and risk of congenital heart defects

Fifteen Years of Community Exposure to Heavy-Duty Emissions: Capturing Disparities over Space and Time

Does early life exposure to exogenous sources of reactive oxygen species (ROS) increase the risk of respiratory and allergic diseases in children? A longitudinal cohort study

Relationships between long-term residential exposure to total environmental noise and stroke incidence

Long-term exposure to a mixture of industrial SO2, NO2, and PM2.5 and anti-citrullinated protein antibody positivity

Reducing transit bus emissions: Alternative fuels or traffic operations?

A machine learning approach capturing the effects of driving behaviour and driver characteristics on trip-level emissions

Greenhouse Gas Emissions and Potential for Electrifying Transportation Network Companies in Toronto

Electric vehicle charging optimization to minimize marginal greenhouse gas emissions from power generation

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