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Published 9/1/2024
Yu K, Ghosh S, Liu Z, Deible C, Poynton CB, Batmanghelich K. Anatomy-specific Progression Classification in Chest Radiographs via Weakly Supervised Learning. Radiol Artif Intell. 2024 Sep; 6(5):e230277. PMID: 39046325.
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Published 8/1/2023
Poynton CB, Slanetz PJ. The Potential for Personalized Screening Using Image-based AI Risk Assessment. Radiology. 2023 Aug; 308(2):e231849. PMID: 37642570.
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Published 6/30/2022
Choi B, Adan N, Doyle TJ, San José Estépar R, Harmouche R, Humphries SM, Moll M, Cho MH, Putman RK, Hunninghake GM, Kalhan R, Liu GY, Diaz AA, Mason SE, Rahaghi FN, Pistenmaa CL, Enzer N, Poynton C, Sánchez-Ferrero GV, Ross JC, Lynch DA, Martinez FJ, Han MK, Bowler RP, Wilson DO, Rosas IO, Washko GR, San José Estépar R, Ash SY. Quantitative Interstitial Abnormality Progression and Outcomes in the Genetic Epidemiology of COPD and Pittsburgh Lung Screening Study Cohorts. Chest. 2023 Jan; 163(1):164-175. PMID: 35780812.
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Published 1/24/2022
Chen Y, Genc O, Poynton CB, Banerjee S, Hess CP, Lupo JM. Comparison of quantitative susceptibility mapping methods on evaluating radiation-induced cerebral microbleeds and basal ganglia at 3T and 7T. NMR Biomed. 2022 05; 35(5):e4666. PMID: 35075701.
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Published 1/1/2022
Poynton CB, Slanetz PJ, Patel AK, Fishman MDC. In: 2022 ARRS Categorical Course - Tumor Imaging: From Screening to Response Assessment.
(Copit D, Flores E, Yee J, Goldin J, eds.). Breast Cancer Screening and Imaging Techniques: Artificial Intelligence. ARRS. Leesburg, VA. 2022.