M
Maureen T. Ross
Researcher at Queensland University of Technology
Publications - 15
Citations - 204
Maureen T. Ross is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Photogrammetry & Medicine. The author has an hindex of 6, co-authored 14 publications receiving 91 citations.
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Design tools for patient specific and highly controlled melt electrowritten scaffolds
Naomi C. Paxton,Matthew Lanaro,Arixin Bo,Nathan Crooks,Maureen T. Ross,Nicholas Green,Kevin Tetsworth,Mark C. Allenby,YuanTong Gu,Cynthia S. Wong,Sean K. Powell,Maria A. Woodruff +11 more
TL;DR: A suite of customised pattern generation software tools have been developed to enable the design of MEW scaffolds with highly-controlled geometry, including crosshatch, gradient porosity, tubular, and patient-specific configurations.
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Past, Present, and Future of Soft-Tissue Prosthetics: Advanced Polymers and Advanced Manufacturing.
TL;DR: Traditional synthetic polymers and advanced prosthetic materials and manufacturing techniques are discussed, including a focus on prosthetic material degradation, in the context of specific tissues requiring aesthetic restoration.
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Aesthetic reconstruction of microtia: a review of current techniques and new 3D printing approaches
Maureen T. Ross,Rena L. J. Cruz,Courtney Hutchinson,Wendy L. Arnott,Maria A. Woodruff,Sean K. Powell +5 more
TL;DR: The use of 3D scanning, modelling and printing techniques could significantly benefit the treatment and reconstructive options for children with microtia, leading to improved quality of life as mentioned in this paper.
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Advancements in Soft-Tissue Prosthetics Part A: The Art of Imitating Life
TL;DR: As advanced manufacturing transitions from research into practice, the five millennia history of prosthetics enters a new age of economic, personalized, advanced soft tissue prosthetics and with this comes significantly improved quality of life for the people affected by tissue loss.
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A Method for Economical Smartphone-Based Clinical 3D Facial Scanning.
TL;DR: Smartphone photogrammetry could provide a rapid, non-invasive and economical method to capture patient morphological data for clinical assessment and personalized device manufacture.