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Inertial sensing for human motor control symmetry in injury rehabilitation.

, , , , and . AIM, page 1470-1475. IEEE, (2013)

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Using Gaussian Mixture Modelling to Analyse Dynamic Body Postures from Multiple Inertial Measurement Units., , , , and . ICSPCS, page 1-10. IEEE, (2019)Modelling dynamic body motion using IMUs positioned on the torso., , , , and . ICSPCS, page 1-6. IEEE, (2017)Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer., , , , , , , and . J. Biomed. Informatics, (2022)Using Machine Learning Applied to Radiomic Image Features for Segmenting Tumour Structures., , , , , , , , and . APSIPA, page 1981-1988. IEEE, (2019)Recognizing human motions through mixture modeling of inertial data., , , , and . Pattern Recognit., 48 (8): 2394-2406 (2015)Inertial sensing for human motor control symmetry in injury rehabilitation., , , , and . AIM, page 1470-1475. IEEE, (2013)Evaluation of an automated Presidio anonymisation model for unstructured radiation oncology electronic medical records in an Australian setting., , , , , and . Int. J. Medical Informatics, (2022)Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings., , , , , and . Artif. Intell. Medicine, (2022)The Utility of Oncology Information Systems for Prognostic Modelling in Head and Neck Cancer., , , , and . J. Medical Syst., 47 (1): 9 (2023)The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance., , , , , , , and . Health Inf. Sci. Syst., 5 (1): 16 (2017)