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Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning.

, , , , , , and . Medical Image Anal., 24 (1): 18-27 (2015)

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Multi-atlas segmentation for abdominal organs with Gaussian mixture models., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 941707. SPIE, (2015)Recursive DNS Architectures and Vulnerability Implications., , , , , and . NDSS, The Internet Society, (2009)Visual Firewall: Real-time Network Security Monito., , , , and . VizSEC, page 16. IEEE Computer Society, (2005)Forensic implications of Ext4., , and . CSIIRW, page 22. ACM, (2010)Evaluation of body-wise and organ-wise registrations for abdominal organs., , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841O. SPIE, (2016)Evaluation of five image registration tools for abdominal CT: pitfalls and opportunities with soft anatomy., , , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94131N. SPIE, (2015)Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning., , , , , , and . Medical Image Anal., 24 (1): 18-27 (2015)The Design of NetSecLab: A Small Competition-Based Network Security Lab., , , and . IEEE Trans. Educ., 54 (1): 149-155 (2011)Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT., , , , , , , and . IEEE Trans. Biomed. Eng., 63 (8): 1563-1572 (2016)Flowtag: a collaborative attack-analysis, reporting, and sharing tool for security researchers., and . VizSEC, page 103-108. ACM, (2006)