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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 KirbyERJ 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.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.Journal of Magnetic Resonance Imaging : JMRI|May 4, 2026
Automated Ultrashort Echo Time (UTE) MRI Low Signal Volume Analysis in Stable Pediatric Cystic Fibrosis and After Elexacaftor/Tezacaftor/Ivacaftor TherapyBrandon Zanette, Jared Bierbrier, Samal Munidasa, et al.Academic Radiology|August 7, 2023
Semiautomated Segmentation and Analysis of Airway Lumen in Pediatric Patients Using Ultra Short Echo Time MRIDaniel Genkin, Brandon Zanette, Patrick Grzela, et al.Radiology. Cardiothoracic Imaging|March 5, 2026
Deep Learning Segmentation of Pectoralis Muscle Volume at CT and Comparison with Pectoralis Muscle Area in COPDDaniel Genkin, Mustansir Verdawala, Sophie É Collins, et al.Pageof 12