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Feasibility of a semi-automated approach to grading point of care ultrasound image generation skills.

, , , , , and . IVCNZ, page 1-5. IEEE, (2015)

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Risk-aware graph search with dynamic edge cost discovery., , , and . Int. J. Robotics Res., (2019)Features of Internal Jugular Vein Contours for Classification., , , and . ISVC (2), volume 10073 of Lecture Notes in Computer Science, page 421-430. Springer, (2016)Validation of a Computerized Technique for Automatically Tracking and Measuring the Inferior Vena Cava in Ultrasound Imagery., , , and . InMed, volume 207 of Studies in Health Technology and Informatics, page 183-192. IOS Press, (2014)Estimation and tracking of AP-diameter of the inferior vena cava in ultrasound images using a novel active circle algorithm., , and . Comput. Biol. Medicine, (2018)Distributed inference-based multi-robot exploration., and . Auton. Robots, 42 (8): 1651-1668 (2018)Real-time distributed non-myopic task selection for heterogeneous robotic teams., , , and . Auton. Robots, 43 (3): 789-811 (2019)A semi-automated technique for internal jugular vein segmentation in ultrasound images using active contours., , , and . BHI, page 184-187. IEEE, (2016)Tracking of the internal jugular vein in ultrasound images using optical flow., , and . CCECE, page 1-4. IEEE, (2017)Segmentation and tracking of inferior vena cava in ultrasound images using a novel polar active contour algorithm., , and . GlobalSIP, page 745-749. IEEE, (2017)Physiological Features of the Internal Jugular Vein from B-Mode Ultrasound Imagery., , , , and . ISVC (2), volume 10073 of Lecture Notes in Computer Science, page 312-319. Springer, (2016)