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Automatic quality measurement of aortic contrast-enhanced CT angiographies for patient-specific dose optimization.

, , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 15 (10): 1611-1617 (2020)

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Automatic quality measurement of aortic contrast-enhanced CT angiographies for patient-specific dose optimization., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 15 (10): 1611-1617 (2020)Multi-object active shape model construction for abdomen segmentation: Preliminary results., , , , and . EMBC, page 3990-3993. IEEE, (2012)Computer-Assisted Quality Assessment of Aortic CT Angiographies for Patient-Individual Dose Adjustment., , , , , , , , and . MIE, volume 270 of Studies in Health Technology and Informatics, page 123-127. IOS Press, (2020)Random Forest and Gradient Boosted Trees for Patient Individualized Contrast Agent Dose Reduction in CT Angiography., , , , , , , and . MIE, volume 302 of Studies in Health Technology and Informatics, page 952-956. IOS Press, (2023)Deep-Learning-Based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization., , , , , , , and . MobiHealth, volume 362 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 315-322. Springer, (2020)Simulation of mammographic breast compression in 3D MR images using ICP-based B-spline deformation for multimodality breast cancer diagnosis., , , and . Int. J. Comput. Assist. Radiol. Surg., 9 (3): 367-377 (2014)An AI-based Framework for Diagnostic Quality Assessment of Ankle Radiographs., , , , , , , , and . MIDL, volume 143 of Proceedings of Machine Learning Research, page 484-496. PMLR, (2021)