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A tumor-immune mathematical model of CD4+ T helper cell dependent tumor regression by oncogene inactivation.

, , , and . EMBC, page 4529-4532. IEEE, (2013)

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Using Optical Flow Fields for Polyp Detection in Virtual Colonoscopy., , , , , and . MICCAI, volume 2208 of Lecture Notes in Computer Science, page 637-644. Springer, (2001)In Vivo Imaging-Based Mathematical Modeling Techniques That Enhance the Understanding of Oncogene Addiction in relation to Tumor Growth., , , and . Comput. Math. Methods Medicine, (2013)Thin client architecture in support of remote radiology learning., , , , and . SAC, page 842-846. ACM, (2009)Toward a Nanobioinformatics Infrastructure for Nanotechnology-based Prostate Cancer Therapeutic Response Tracking.. BIBE, page 486. IEEE Computer Society, (2007)Heat diffusion based detection of colonic polyps in CT colonography., , , , and . EUSIPCO, page 1-4. IEEE, (2005)A Learning Method for Automated Polyp Detection., , , , , and . MICCAI, volume 2208 of Lecture Notes in Computer Science, page 85-93. Springer, (2001)Mathematical modeling of the interactions between cellular programs in response to oncogene inactivation: Incorporation of both cell intrinsic and cell extrinsic (Immune mediated) effects., , , and . BIBE, page 454-459. IEEE Computer Society, (2012)A Statistical 3D Pattern Processing Method for Computer Aided Detection of Polyps in CT Colonography., , , , , , , and . IEEE Trans. Med. Imaging, 20 (12): 1251-1260 (2001)A tumor-immune mathematical model of CD4+ T helper cell dependent tumor regression by oncogene inactivation., , , and . EMBC, page 4529-4532. IEEE, (2013)Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT., , , , , , , and . IEEE Trans. Med. Imaging, 23 (6): 661-675 (2004)