| Quantitative CT lung imaging and machine learning improves prediction of emergency room visits and hospitalizations in COPD A Moslemi, K Makimoto, WC Tan, J Bourbeau, JC Hogg, HO Coxson, ... Academic Radiology 30 (4), 707-716, 2023 | 14 | 2023 |
| Comparison of feature selection methods and machine learning classifiers for predicting chronic obstructive pulmonary disease using texture-based CT lung radiomic features K Makimoto, R Au, A Moslemi, JC Hogg, J Bourbeau, WC Tan, M Kirby Academic Radiology 30 (5), 900-910, 2023 | 13 | 2023 |
| CT imaging with machine learning for predicting progression to COPD in individuals at risk K Makimoto, JC Hogg, J Bourbeau, WC Tan, M Kirby Chest 164 (5), 1139-1149, 2023 | 8 | 2023 |
| Comparison of Feature Selection Methods and Machine Learning Classifiers with CT Radiomics-Based Features for Predicting Chronic Obstructive Pulmonary Disease K Makimoto, RC Au, A Moslemi, JC Hogg, J Bourbeau, WC Tan, M Kirby A22. IMAGING AND MOLECULAR BIOMARKERS IN COPD, A1079-A1079, 2022 | 2 | 2022 |
| Are CT-based exacerbation prediction models ready for use in chronic obstructive pulmonary disease? K Makimoto, M Kirby The Lancet Digital Health 5 (2), e54-e55, 2023 | 1 | 2023 |
| Chronic Obstructive Pulmonary Disease Classification Using Sex-specific Machine Learning Models and Quantitative Computed Tomography Imaging K Makimoto, CJ Hague, JC Hogg, J Bourbeau, WC Tan, M Kirby C24. CLINICAL, BIOLOGIC, AND RADIOLOGIC MARKERS OF KEY OUTCOMES AND …, 2024 | | 2024 |
| Enhancing COPD Classification Using Combined Quantitative CT and Texture-Based Radiomics: A CanCOLD Cohort Study K Makimoto, JC Hogg, J Bourbeau, WC Tan, M Kirby ERJ Open Research, 2024 | | 2024 |
| A fully automated pipeline for the extraction of pectoralis muscle area from chest computed tomography scans D Genkin, AR Jenkins, N van Noord, K Makimoto, S Collins, MK Stickland, ... ERJ Open Research 10 (1), 2024 | | 2024 |
| Regional CT features for predicting rapid lung function decline in COPD K Makimoto, M Koo, J Hogg, J Bourbeau, W Tan, M Kirby European Respiratory Journal 62 (suppl 67), 2023 | | 2023 |
| 248 Comparison of Inspiration and Expiration Density-Based CT Measurements with CT Texture-Based Radiomics in Predicting COPD Symptoms M Koo, K Makimoto, W Tan, J Hogg, J Bourbeau, M Kirby Radiotherapy and Oncology 186, S107, 2023 | | 2023 |
| Texture-based Computed Tomography Radiomics With Machine Learning Improves Predicting Chronic Obstructive Pulmonary Disease Outcomes K Makimoto, M Koo, JC Hogg, J Bourbeau, WC Tan, M Kirby D92. NOVEL IMAGING AND PHYSIOLOGIC MEASURES IN COPD, A6543-A6543, 2023 | | 2023 |
| Inspiration-Expiration CT Texture-Based Delta Radiomics: A New Biomarker Associated With COPD Symptoms? M Koo, K Makimoto, WC Tan, JC Hogg, J Bourbeau, M Kirby B68. A DIFFERENT POINT OF VIEW: LUNG IMAGING IN COPD, A4014-A4014, 2023 | | 2023 |
| Symptom burden classification using radiomics analysis and machine learning in participants with chronic obstructive pulmonary disease R Au, K Makimoto, W Tan, J Bourbeau, J Hogg, M Kirby MEDICAL PHYSICS 48 (8), 4682-4683, 2021 | | 2021 |
| Radiomics Analysis Improves Machine Learning Models Assessing Chronic Obstructive Pulmonary Disease R Au, K Makimoto, W Tan, J Bourbeau, J Hogg, M Kirby MEDICAL PHYSICS 48 (6), 2021 | | 2021 |
Miranda KirbyAssociate Professor, Toronto Metropolitan University; Affiliate Scientist at St. Michael’s HospitalVerified email at torontomu.ca
