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An algorithm for fully automatic detection of calcium in chest CT imaging., , , , and . ISBI, page 265-269. IEEE, (2017)Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning., , , , and . Comput. Medical Imaging Graph., (2018)Rapid annotation of 3D medical imaging datasets using registration-based interpolation and adaptive slice selection., , and . ISBI, page 1340-1343. IEEE, (2018)Segmentation of anatomical structures in cardiac CTA using multi-label V-Net., , , , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 1057407. SPIE, (2018)Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset., , , , , , , , , and 10 other author(s). J. Digit. Imaging, 33 (2): 490-496 (2020)The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs., , , , , , , , , and 19 other author(s). J. Digit. Imaging, 36 (1): 365-372 (February 2023)Fracture detection in x-ray images through stacked random forests feature fusion., , , , and . ISBI, page 801-805. IEEE, (2015)A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position., , , , and . ISBI, page 1418-1421. IEEE, (2016)Medical sieve: a cognitive assistant for radiologists and cardiologists., , , , , , , , , and 13 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850A. SPIE, (2016)On the role of artificial intelligence in medical imaging of COVID-19., , , , , , , , , and 5 other author(s). Patterns, 2 (6): 100269 (2021)