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Computer-aided cephalometric landmark annotation for CBCT data.

, , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (1): 113-121 (2017)

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Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations., , , , , , , , , and . Comput. Biol. Medicine, (October 2023)Deep Reinforcement Learning for Localization of the Aortic Annulus in Patients with Aortic Dissection., , , , , , and . TIA@MICCAI, volume 12502 of Lecture Notes in Computer Science, page 94-105. Springer, (2020)Computer-aided cephalometric landmark annotation for CBCT data., , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (1): 113-121 (2017)Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations., , , , , , , , , and . CoRR, (2021)Computer-aided feature extraction in 3d oro-maxillo-facial images.. University of Milan, Italy, (2017)Shading Style Assessment for Vessel Wall and Lumen Visualization., , , , , , , , and . VCBM, page 107-111. Eurographics Association, (2021)Deep Learning-Based 3D Segmentation of True Lumen, False Lumen, and False Lumen Thrombosis in Type-B Aortic Dissection., , , , , , , , , and 3 other author(s). EMBC, page 3912-3915. IEEE, (2021)