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Investigating the fidelity of an improvement-assessment tool after one vacuum bell treatment session.

, , , , and . SummerSim, page 68. Society for Computer Simulation International / ACM DL, (2016)

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Evaluating Azure Kinect and Structure Mark-II 3D Surface Scanners for Clinical Chest Wall Deformity Assessment., , and . ANNSIM, page 1-12. IEEE, (2021)Convolutional Neural Network for ECG-based Virtual Pathology Stethoscope Tracking in Patient Heart Auscultation., , , , , and . BIBM, page 2569-2573. IEEE, (2019)Validation of an Objective Assessment Instrument for Non-Surgical Treatments of Chest Wall Deformities., , , , , and . MMVR, volume 220 of Studies in Health Technology and Informatics, page 273-280. IOS Press, (2016)Investigating the fidelity of an improvement-assessment tool after one vacuum bell treatment session., , , , and . SummerSim, page 68. Society for Computer Simulation International / ACM DL, (2016)Optical Imaging for Monitoring Pectus Excavatum Therapy., , and . BIBM, page 2728-2732. IEEE, (2021)Mobile Application for Measuring Pectus Excavatum Treatment Progress., , , and . BIBM, page 2949-2950. IEEE, (2022)Orientation invariant ECG-based stethoscope tracking for heart auscultation training on augmented standardized patients., , , , and . Simul., 89 (12): 1450-1458 (2013)An Accurate and Efficient Instrument for Monitoring Chest Wall Therapy., , , , , and . BHI, page 1-5. IEEE, (2019)ECG-Based Virtual Pathology Stethoscope Tracking Using Transfer Learning., , , and . SpringSim, page 1-7. IEEE, (2020)Statistical Chest Shape Modeling: Application to the Evaluation of Pectus Excavatum Treatment Outcomes., , , , and . BIBM, page 1959-1963. IEEE, (2020)