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Methodology for quantitative assessment of combat casualty care., , , and . Simulation, (2019)Interhemispheric Functional Connectivity in the Primary Motor Cortex Distinguishes Between Training on a Physical and a Virtual Surgical Simulator., , , , , and . MICCAI (4), volume 12904 of Lecture Notes in Computer Science, page 636-644. Springer, (2021)One-shot skill assessment in high-stakes domains with limited data via meta learning., , , , , , and . Comput. Biol. Medicine, (2024)Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review., , , , , , , , and . CoRR, (2021)Conditions for reliable grip force and jaw angle estimation of da Vinci surgical tools., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (1): 117-127 (2019)Brain network effects related to physical and virtual surgical training revealed by Granger causality., , , , , and . EMBC, page 1014-1017. IEEE, (2021)Error related fNIRS-EEG microstate analysis during a complex surgical motor task., , , , , , , and . EMBC, page 941-944. IEEE, (2022)Enabling a Continuum of Virtual Environment Experiences., , , , , , and . IEEE Computer Graphics and Applications, 23 (2): 10-12 (2003)Merging augmented reality and anatomically correct 3D models in the development of a training tool for endotracheal intubation., , , , , , and . ISBI, page 895-898. IEEE, (2002)Error-related brain state analysis using electroencephalography in conjunction with functional near-infrared spectroscopy during a complex surgical motor task., , , , , , , and . Brain Informatics, 9 (1): 29 (2022)