| Population-based risk factors for community-onset bloodstream infections KB Laupland, K Pasquill, G Dagasso, EC Parfitt, L Steele, ... European Journal of Clinical Microbiology & Infectious Diseases 39, 753-758, 2020 | 29 | 2020 |
| Streptococcus anginosus group bloodstream infections in the western interior of British Columbia, Canada KB Laupland, K Pasquill, EC Parfitt, G Dagasso, L Steele Infectious Diseases 50 (6), 423-428, 2018 | 25 | 2018 |
| Inhospital death is a biased measure of fatal outcome from bloodstream infection KB Laupland, K Pasquill, EC Parfitt, G Dagasso, K Gupta, L Steele Clinical Epidemiology, 47-52, 2019 | 22 | 2019 |
| Risk factors associated with bloodstream infections in end-stage renal disease patients: a population-based study G Dagasso, J Conley, E Parfitt, K Pasquill, L Steele, K Laupland Infectious Diseases 50 (11-12), 831-836, 2018 | 17 | 2018 |
| Risk of bloodstream infection in patients with renal dysfunction: a population-based cohort study G Dagasso, J Conley, L Steele, EEC Parfitt, K Pasquill, KB Laupland Epidemiology & Infection 148, e105, 2020 | 10 | 2020 |
| Inhospital death is a biased measure of fatal outcome from bloodstream infection. Clin Epidemiol. 2019; 11: 47–52 KB Laupland, K Pasquill, EC Parfitt, G Dagasso, K Gupta, L Steele | 7 | 1873 |
| Incorporating time delays in the mathematical modelling of the human immune response in viral infections G Dagasso, J Urban, M Kwiatkowska Procedia computer science 185, 144-151, 2021 | 6 | 2021 |
| Comprehensive-GWAS: a pipeline for genome-wide association studies utilizing cross-validation to assess the predictivity of genetic variations G Dagasso, Y Yan, L Wang, L Li, R Kutcher, W Zhang, L Jin 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 5 | 2020 |
| A morphometrics approach for inclusion of localised characteristics from medical imaging studies into genome-wide association studies G Dagasso, M Wilms, ND Forkert 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 2 | 2022 |
| Leveraging machine learning to advance genome-wide association studies G Dagasso, Y Yan, L Wang, L Li, R Kutcher, W Zhang, L Jin International Journal of Data Mining and Bioinformatics 25 (1-2), 17-36, 2021 | 1 | 2021 |
| A Lightweight 3D Conditional Diffusion Model for Self-explainable Brain Age Prediction in Adults and Children M Wilms, AO Ahsan, EY Ohara, G Dagasso, E Macavoy, EAM Stanley, ... International Workshop on Machine Learning in Clinical Neuroimaging, 57-67, 2025 | | 2025 |
| Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotype-phenotype associations in pediatric mental health and neurodevelopmental … G Dagasso, M Wilms, SJ MacEachern, ND Forkert Frontiers in Big Data 7, 1429910, 2024 | | 2024 |
| Assessing the Impact of Sociotechnical Harms in AI-Based Medical Image Analysis EAM Stanley, R Souza, AJ Winder, M Wilms, GB Pike, G Dagasso, ... MICCAI Workshop on Fairness of AI in Medical Imaging, 163-175, 2024 | | 2024 |
| A pipeline for multivariate genome-wide associations studies with morphological brain features G Dagasso, M Wilms, ND Forkert Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and …, 2023 | | 2023 |
| Context Specification in the Computational Modelling of Human Immune System Response to Viral Infections M Kwiatkowska, J Urban, G Dagasso Procedia Computer Science 185, 330-337, 2021 | | 2021 |
| Determining Fusarium Head Blight Resistances in Bread Wheat Using Genome-Wide Association Studies G Dagasso | | 2020 |
| A Lightweight 3D Conditional Diffusion G Dagasso, E Macavoy, EAM Stanley Machine Learning in Clinical Neuroimaging: 7th International Workshop, MLCN …, 0 | | |
