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Multi-Kinect v2 Camera Based Monitoring System for Radiotherapy Patient Safety.

, , , and . MMVR, volume 220 of Studies in Health Technology and Informatics, page 352-358. IOS Press, (2016)

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Multi-Kinect v2 Camera Based Monitoring System for Radiotherapy Patient Safety., , , and . MMVR, volume 220 of Studies in Health Technology and Informatics, page 352-358. IOS Press, (2016)Automatic triangulated mesh generation of pulmonary airways from segmented lung 3DCTs for computational fluid dynamics., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 17 (1): 185-197 (2022)Analysis of free breathing motion using artifact reduced 4D CT image data., , , , , and . Medical Imaging: Image Processing, volume 6512 of SPIE Proceedings, page 65121N. SPIE, (2007)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)Multi-Scale, Multi-Modal Image Integration for Image-Guided Clinical Interventions in the Head and Neck Anatomy., , , , , , , , , and . MMVR, volume 184 of Studies in Health Technology and Informatics, page 380-386. IOS Press, (2013)Analytical modeling and feasibility study of a multi-GPU cloud-based server (MGCS) framework for non-voxel-based dose calculations., , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (4): 669-680 (2017)Scalable quorum-based deep neural networks with adversarial learning for automated lung lobe segmentation in fast helical free-breathing CTs., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 16 (10): 1775-1784 (2021)A quantitative prediction of the post-operative lobectomy lung physiology using a GPU-based linear elastic lung biomechanics model and a constrained generative adversarial learning approach., , , , , , and . Medical Imaging: Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)Deep neural networks reveal topic-level representations of sentences in medial prefrontal cortex, lateral anterior temporal lobe, precuneus, and angular gyrus., , and . NeuroImage, (2022)Compensation of breathing motion artifacts in thoracic PET images by wavelet-based deconvolution., , , , and . ISBI, page 980-983. IEEE, (2006)