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Efficient 3D texture feature extraction from CT images for computer-aided diagnosis of pulmonary nodules., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 90352C. SPIE, (2014)Incorporating User Perceptions and Product Attributes in Software Product Design and Evaluation., , and . ICIS, Association for Information Systems, (2012)Poster: An Unexpected Pathway for Fentanyl Orders., , , and . AMIA, AMIA, (2020)Designing science web sites., , , , , and . Earth Sci. Informatics, 3 (1-2): 51-57 (2010)27.1 A 65nm Energy-Harvesting ULP SoC with 256kB Cortex-M0 Enabling an 89.1µW Continuous Machine Health Monitoring Wireless Self-Powered System., , , , , , , , , and 6 other author(s). ISSCC, page 420-422. IEEE, (2020)Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning., , , , , , , , , and 1 other author(s). J. Digit. Imaging, 33 (3): 685-696 (2020)A new 3D texture feature based computer-aided diagnosis approach to differentiate pulmonary nodules., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86702Z. SPIE, (2013)Computer-aided diagnosis: impact on nodule detection among community level radiologists. A multi-reader study., , , , , , , , and . CARS, volume 1268 of International Congress Series, page 902-907. Elsevier, (2004)Fast and Adaptive Detection of Pulmonary Nodules in Thoracic CT Images Using a Hierarchical Vector Quantization Scheme., , , , , and . IEEE J. Biomed. Health Informatics, 19 (2): 648-659 (2015)Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based Bayesian Reconstruction of Current Low-Dose CT Images., , , , , , , and . IEEE Trans. Medical Imaging, 35 (3): 860-870 (2016)