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Automated aorta segmentation in low-dose chest CT images., , , and . Int. J. Comput. Assist. Radiol. Surg., 9 (2): 211-219 (2014)Semi-Automated Measurement of Pulmonary Nodule Growth without Explicit Segmentation., , , , and . ISBI, page 855-858. IEEE, (2009)A comparison of ground truth estimation methods., , and . Int. J. Comput. Assist. Radiol. Surg., 5 (3): 295-305 (2010)Local noise estimation in low-dose chest CT images., , , , and . Int. J. Comput. Assist. Radiol. Surg., 9 (2): 221-229 (2014)Pulmonary Nodule Classification: Size Distribution Issues., , , , , and . ISBI, page 1248-1251. IEEE, (2007)A Pilot Study Evaluating Pulmonary Nodule Marking Methods., , , , , and . ISBI, page 85-88. IEEE, (2009)Identification of asymmetric pulmonary nodule growth using a moment-based algorithm., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 72602W. SPIE, (2009)Comparison of computer versus manual determination of pulmonary nodule volumes in CT scans., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 6915 of SPIE Proceedings, page 691510. SPIE, (2008)Automated segmentation of the pulmonary arteries in low-dose CT by vessel tracking, , , , , and . CoRR, (2011)Heart region segmentation from low-dose CT scans: an anatomy based approach., , , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 83142A. SPIE, (2012)