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Kalysta Makimoto

Showing results (1-10 of 7) with videos related to

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The British Journal of Radiology|October 10, 2025
Characterizing chronic obstructive pulmonary disease using quantitative MRI biomarkersDaniel Genkin, Kalysta Makimoto, Miranda Kirby
Chest|July 8, 2023
CT Imaging With Machine Learning for Predicting Progression to COPD in Individuals at RiskKalysta Makimoto, James C Hogg, Jean Bourbeau, et al.
ERJ Open Research|July 23, 2024
Enhancing COPD classification using combined quantitative computed tomography and texture-based radiomics: a CanCOLD cohort studyKalysta Makimoto, James C Hogg, Jean Bourbeau, et al.
Academic Radiology|August 14, 2022
Comparison of Feature Selection Methods and Machine Learning Classifiers for Predicting Chronic Obstructive Pulmonary Disease Using Texture-Based CT Lung Radiomic FeaturesKalysta Makimoto, Ryan Au, Amir Moslemi, et al.
ERJ Open Research|July 1, 2025
Upper-lobe CT imaging features improve prediction of lung function decline in COPDKalysta Makimoto, Sukhraj Virdee, Meghan Koo, et al.
Academic Radiology|June 11, 2022
Quantitative CT Lung Imaging and Machine Learning Improves Prediction of Emergency Room Visits and Hospitalizations in COPDAmir Moslemi, Kalysta Makimoto, Wan C Tan, et al.
ERJ Open Research|January 23, 2024
A fully automated pipeline for the extraction of pectoralis muscle area from chest computed tomography scansDaniel Genkin, Alex R Jenkins, Nikki van Noord, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
The British Journal of Radiology|October 10, 2025
Characterizing chronic obstructive pulmonary disease using quantitative MRI biomarkersDaniel Genkin, Kalysta Makimoto, Miranda Kirby
Chest|July 8, 2023
CT Imaging With Machine Learning for Predicting Progression to COPD in Individuals at RiskKalysta Makimoto, James C Hogg, Jean Bourbeau, et al.
ERJ Open Research|July 23, 2024
Enhancing COPD classification using combined quantitative computed tomography and texture-based radiomics: a CanCOLD cohort studyKalysta Makimoto, James C Hogg, Jean Bourbeau, et al.
Academic Radiology|August 14, 2022
Comparison of Feature Selection Methods and Machine Learning Classifiers for Predicting Chronic Obstructive Pulmonary Disease Using Texture-Based CT Lung Radiomic FeaturesKalysta Makimoto, Ryan Au, Amir Moslemi, et al.
ERJ Open Research|July 1, 2025
Upper-lobe CT imaging features improve prediction of lung function decline in COPDKalysta Makimoto, Sukhraj Virdee, Meghan Koo, et al.
Academic Radiology|June 11, 2022
Quantitative CT Lung Imaging and Machine Learning Improves Prediction of Emergency Room Visits and Hospitalizations in COPDAmir Moslemi, Kalysta Makimoto, Wan C Tan, et al.
ERJ Open Research|January 23, 2024
A fully automated pipeline for the extraction of pectoralis muscle area from chest computed tomography scansDaniel Genkin, Alex R Jenkins, Nikki van Noord, et al.
Pageof 1