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Functional imaging in small animals using X-ray computed Tomography -study of physiologic measurement reproducibility.

, , , , , , and . IEEE Trans. Med. Imaging, 24 (7): 832-843 (2005)

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An adversarial machine-learning-based approach and biomechanically guided validation for improving deformable image registration accuracy between a planning CT and cone-beam CT for adaptive prostate radiotherapy applications., , , , , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113130P. SPIE, (2020)Functional imaging in small animals using X-ray computed Tomography -study of physiologic measurement reproducibility., , , , , , and . IEEE Trans. Med. Imaging, 24 (7): 832-843 (2005)Developing DCE-CT to Quantify Intra-Tumor Heterogeneity in Breast Tumors With Differing Angiogenic Phenotype., , , , and . IEEE Trans. Med. Imaging, 28 (6): 861-871 (2009)Inter-Phase 4D Cardiac MRI Registration With a Motion Prior Derived From CTA., , , , , , , and . IEEE Trans. Biomed. Eng., 69 (6): 1828-1836 (2022)Enhancing 4d Cardiac Mri Registration Network With A Motion Prior Learned From Coronary Cta., , , , , , , and . ISBI, page 917-920. IEEE, (2021)Ensemble Learning and Tensor Regularization for Cone-Beam Computed Tomography-Based Pelvic Organ Segmentation., , , , , and . ISBI, page 1-4. IEEE, (2022)Response to Letter Regarding Article: "Developing DCE-CT to Quantify Intra-Tumor Heterogeneity in Breast Tumors With Differing Angiogenic Phenotype"., , and . IEEE Trans. Med. Imaging, 29 (4): 1089-1092 (2010)