M., M. ., S., P. ., K., Z. ., A., Y. ., M., V. ., & S., M. . (2024). A manufacturability evaluation of complex architectures by laser powder bed fusion additive manufacturing. Journal of Manufacturing Science and Engineering 146 (6), 061007. Retrieved from https://asmedigitalcollection.asme.org/manufacturingscience/article-abstract/146/6/061007/1199321
Publications
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H, R. ., R, B. ., S, M. ., & N., C. . (2024). Computational study of extrinsic factors affecting ACL strain during single-leg jump landing.. BMC Musculoskeletal Disorders 25 (1). Retrieved from https://scholar.google.com/citations?view_op=view_citation&hl=en&user=LHXh0MQAAAAJ&sortby=pubdate&citation_for_view=LHXh0MQAAAAJ:j3f4tGmQtD8C
A., R. ., S., M. ., & D., C. . (2023). Spinal cord boundary conditions affect brain tissue strains in impact simulations. Annals of Biomedical Engineering 51 (4), 783-793. Retrieved from https://scholar.google.com/citations?view_op=view_citation&hl=en&user=LHXh0MQAAAAJ&sortby=pubdate&citation_for_view=LHXh0MQAAAAJ:hC7cP41nSMkC
V., S. ., T., V. ., R., R. ., A., W. ., S., M. ., & M., H. . (2023). Recurrence With Correlation Network for Medical Image Registration. ArXiv Preprint arXiv:2302.02283. Retrieved from https://scholar.google.com/citations?view_op=view_citation&hl=en&user=LHXh0MQAAAAJ&sortby=pubdate&citation_for_view=LHXh0MQAAAAJ:hFOr9nPyWt4C
J., C. ., M., H. ., A., W. ., & S., M. . (2023). Vertebral Detection and Labelling Using Deep Learning for Spine MRI Registration.. Journal of Computational Vision and Imaging Systems 9 (1), 65-. Retrieved from https://scholar.google.com/citations?view_op=view_citation&hl=en&user=LHXh0MQAAAAJ&sortby=pubdate&citation_for_view=LHXh0MQAAAAJ:r0BpntZqJG4C
M., M. ., S., P. ., K, Z. ., A., Y. ., M., V. ., & S., M. . (2023). The downside of downskin: an overhang ratio to digitally evaluate printability of complex architectures by laser powder bed fusion additive manufacturing. SSRN 4502224. Retrieved from https://scholar.google.com/citations?view_op=view_citation&hl=en&user=LHXh0MQAAAAJ&sortby=pubdate&citation_for_view=LHXh0MQAAAAJ:e5wmG9Sq2KIC
M., C. ., M., C. ., S., M. ., & D., C. . (2023). Effect of muscle pre‐tension and pre‐impact neck posture on the kinematic response of the cervical spine in simulated low‐speed rear impacts. International Journal for Numerical Methods in Biomedical Engineering 39 (11), e3761. Retrieved from https://scholar.google.com/citations?view_op=view_citation&hl=en&user=LHXh0MQAAAAJ&sortby=pubdate&citation_for_view=LHXh0MQAAAAJ:_Qo2XoVZTnwC
A., R. ., S., M. ., & D., C. . (2022). Comparison of numerical methods for cerebrospinal fluid representation and fluid–structure interaction during transverse impact of a finite element spinal cord model. International Journal for Numerical Methods in Biomedical Engineering 38 (3), e3570. Retrieved from https://scholar.google.com/citations?view_op=view_citation&hl=en&user=LHXh0MQAAAAJ&sortby=pubdate&citation_for_view=LHXh0MQAAAAJ:7PzlFSSx8tAC
M., M. ., S., P. ., S., M. ., & M., V. . (2021). Data related to architectural bone parameters and the relationship to Ti lattice design for powder bed fusion additive manufacturing.. Data in Brief 39, 107633. Retrieved from https://scholar.google.com/citations?view_op=view_citation&hl=en&user=LHXh0MQAAAAJ&sortby=pubdate&citation_for_view=LHXh0MQAAAAJ:dhFuZR0502QC
M., M. ., S., P. ., S., M. ., & M., V. . (2021). Architectural bone parameters and the relationship to titanium lattice design for powder bed fusion additive manufacturing.. Additive Manufacturing 47, 1022731. Retrieved from https://scholar.google.com/citations?view_op=view_citation&hl=en&user=LHXh0MQAAAAJ&sortby=pubdate&citation_for_view=LHXh0MQAAAAJ:Wp0gIr-vW9MC