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Thorax|January 9, 2024
Radiomics analysis to predict pulmonary nodule malignancy using machine learning approachesMatthew T Warkentin, Hamad Al-Sawaihey, Stephen Lam, et al.Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|March 21, 2016
Computer Vision Tool and Technician as First Reader of Lung Cancer Screening CT ScansAlexander J Ritchie, Calvin Sanghera, Colin Jacobs, et al.BMJ Open|January 20, 2019
Health-related quality of life and anxiety in the PAN-CAN lung cancer screening cohortNiloofar Taghizadeh, Alain Tremblay, Sonya Cressman, et al.The Lancet. Digital Health|September 1, 2020
Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning methodPeng Huang, Cheng T Lin, Yuliang Li, et al.Journal of the National Cancer Institute|June 27, 2023
Circulating proteome for pulmonary nodule malignancyElham Khodayari Moez, Matthew T Warkentin, Yonathan Brhane, et al.Annals of the American Thoracic Society|February 4, 2020
Protocol and Rationale for the International Lung Screening TrialKuan Pin Lim, Henry Marshall, Martin Tammemägi, et al.Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|October 28, 2018
Predicting Malignancy Risk of Screen-Detected Lung Nodules-Mean Diameter or VolumeMartin Tammemagi, Alex J Ritchie, Sukhinder Atkar-Khattra, et al.Lung Cancer (Amsterdam, Netherlands)|January 2, 2023
Economic impact of using risk models for eligibility selection to the International lung screening TrialSonya Cressman, Marianne F Weber, Preston J Ngo, et al.Chest|May 5, 2016
Low Prevalence of High-Grade Lesions Detected With Autofluorescence Bronchoscopy in the Setting of Lung Cancer Screening in the Pan-Canadian Lung Cancer Screening StudyAlain Tremblay, Niloofar Taghizadeh, Annette M McWilliams, et al.Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|August 18, 2023
The International Association for the Study of Lung Cancer Early Lung Imaging Confederation Open-Source Deep Learning and Quantitative Measurement InitiativeStephen Lam, Murry W Wynes, Casey Connolly, et al.Pageof 3