Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Mark Fuge"'
Autor:
Hidenori Hayashi, MD, Jacqueline Contento, BSE, Hiroshi Matsushita, MD, Paige Mass, MS, Vincent Cleveland, MS, Seda Aslan, MS, Amartya Dave, BS, Raquel dos Santos, Angie Zhu, Emmett Reid, Tatsuya Watanabe, MD, PhD, Nora Lee, MPAP, PA-C, Tyler Dunn, BS, Umar Siddiqi, Katherine Nurminsky, BS, Vivian Nguyen, BA, Keigo Kawaji, PhD, Joey Huddle, MS, Luka Pocivavsek, MD, PhD, Jed Johnson, PhD, Mark Fuge, PhD, Yue-Hin Loke, MD, Axel Krieger, PhD, Laura Olivieri, MD, Narutoshi Hibino, MD, PhD
Publikováno v:
JTCVS Open, Vol 18, Iss , Pp 209-220 (2024)
Objective(s): The complexity of aortic arch reconstruction due to diverse 3-dimensional geometrical abnormalities is a major challenge. This study introduces 3-dimensional printed tissue-engineered vascular grafts, which can fit patient-specific dime
Externí odkaz:
https://doaj.org/article/8de5f71289114d578bebe581b3c0f37d
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2022)
Catheter-based endovascular interventional procedures have become increasingly popular in recent years as they are less invasive and patients spend less time in the hospital with less recovery time and less pain. These advantages have led to a signif
Externí odkaz:
https://doaj.org/article/6c1bc1a186c84ad1a60faee635b542b4
Publikováno v:
Systems, Vol 8, Iss 3, p 32 (2020)
Human interactions are paramount to the user experience, satisfaction, and risk of user errors. For products, anthropometry has traditionally been used in product sizing. However, structured methods that accurately map static and dynamic capabilities
Externí odkaz:
https://doaj.org/article/d2bd1b40736841c6b7d39f1b820b0a2a
Autor:
Faez Ahmed, Mark Fuge
Publikováno v:
Design Science, Vol 4 (2018)
Bisociative knowledge discovery is an approach that combines elements from two or more ‘incompatible’ domains to generate creative solutions and insight. Inspired by Koestler’s notion of bisociation, in this paper we propose a computational fra
Externí odkaz:
https://doaj.org/article/8659d36d0e43415d82a0752214792738
Autor:
Axel Krieger, Byeol Kim, Mark Fuge, Laura Olivieri, Xiaolong Liu, Yue-Hin Loke, Paige Mass, Narutoshi Hibino
Publikováno v:
IEEE Trans Biomed Eng
This paper proposes a semi-automatic Fontan surgery planning method for designing and manufacturing hemodynamically optimized patient-specific grafts. Fontan surgery is a palliative procedure for patients with a single ventricle heart defect by creat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36e6af62c527d3ab069318b18fe8f353
https://doi.org/10.1109/tbme.2021.3091113
https://doi.org/10.1109/tbme.2021.3091113
Publikováno v:
IEEE Trans Med Robot Bionics
Catheter-based diagnosis and therapy have grown increasingly in recent years due to their improved clinical outcomes including decreased morbidity, shorter recovery time and minimally invasiveness compared to open surgeries. Although the scalability,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e401b21747d6e6020e18784e15db695c
https://doi.org/10.1109/tmrb.2021.3098119
https://doi.org/10.1109/tmrb.2021.3098119
Publikováno v:
Volume 3A: 48th Design Automation Conference (DAC).
When performing time-intensive optimization tasks, such as those in Topology Optimization or Shape Optimization, researchers have turned to Machine Learned (ML) Inverse Design methods — i.e., algorithms that predict the optimized geometry from inpu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::425c96cb56e12db6f096647488d589a6
https://doi.org/10.1115/detc2022-90065
https://doi.org/10.1115/detc2022-90065
Autor:
Alec Van Slooten, Mark Fuge
Publikováno v:
Volume 3A: 48th Design Automation Conference (DAC).
Although learning low-dimensional airfoil manifolds can facilitate aerodynamic optimizations, the properties of these latent spaces are not well understood. This paper investigates airfoil manifolds to provide greater insight into the effects of opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1f8e69d139fa2498da3eb71f5150417
https://doi.org/10.1115/detc2022-90068
https://doi.org/10.1115/detc2022-90068
Publikováno v:
AIAA SCITECH 2022 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2fac4da5b33f09e2eafcc5c0d0a025f
https://doi.org/10.2514/6.2022-2352
https://doi.org/10.2514/6.2022-2352