This proposal describes our plans for the third renew^al ofthe Center for Integrated Biomedical Computing (CIBC), hosted by the Scientific Computing and Imaging (SCI) Institute at the University of Utah. The CIBC is a research resource that produces open-source software tools for biomedical image-based modeling, biomedical simulation and estimation, and the visualization of biomedical data. The software tools created by the Center are supported by a critical mass of research in scientific computing housed within the SCI Institute. These software tools, the research that underlies them, and the driving biological projects and collaborations that motivate their development are unified by a single vision: to develop the role of image-based modeling and analysis in biomedical science and clinical practice. The overarching goal ofthis proposal is to advance the state of practice in biomedical computing and its applications both to biomedical science and to the the translation ofthis science to chnical practice. We seek to achieve this goal by making advanced computation tools, tailored to the specific domains of image-based modeling, simulation, estimation, and visualization, accessible to scientists, engineers, and physicians by releasing readily usable, open-source software. We work closely with these users of our software, providing advice, technical support, workshops, and education to enhance their success with the tools we provide. Our long-term vision is to make scientific computing so useful and user friendly a tool, that it becomes a transparent and ubiquitous aspect of clinical and scientific practice.
Our commitment to empowering researchers through scientific computing is apparent in the nunnber and breadth of the driving biological projects (DBFs) we wish to pursue and in the central role these projects play in all decisions within the Center. Many of our DBFs now have a very clinical focus.
| Tate, Jess; Stinstra, Jeroen; Pilcher, Thomas et al. (2018) Measuring defibrillator surface potentials: The validation of a predictive defibrillation computer model. Comput Biol Med 102:402-410 |
| Officers of the SIAM Activity Group on Computational Science and Engineering (SIAG/CSE), 2013-2014 (2018) Research and Education in Computational Science and Engineering. SIAM Rev Soc Ind Appl Math 60:707-754 |
| Langowski, Julian K A; Schipper, Henk; Blij, Anne et al. (2018) Force-transmitting structures in the digital pads of the tree frog Hyla cinerea: a functional interpretation. J Anat 233:478-495 |
| Kholmovski, Eugene G; Silvernagel, Josh; Angel, Nathan et al. (2018) Acute noncontrast T1-weighted magnetic resonance imaging predicts chronic radiofrequency ablation lesions. J Cardiovasc Electrophysiol 29:1556-1562 |
| Thomas, Samuel; Silvernagel, Josh; Angel, Nathan et al. (2018) Higher contact force during radiofrequency ablation leads to a much larger increase in edema as compared to chronic lesion size. J Cardiovasc Electrophysiol 29:1143-1149 |
| Guler, Seyhmus; Dannhauer, Moritz; Roig-Solvas, Biel et al. (2018) Computationally optimized ECoG stimulation with local safety constraints. Neuroimage 173:35-48 |
| Navarro, Nicolas; Murat Maga, A (2018) Genetic mapping of molar size relations identifies inhibitory locus for third molars in mice. Heredity (Edinb) 121:1-11 |
| Rodenhauser, Anton; Good, Wilson W; Zenger, Brian et al. (2018) PFEIFER: Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings. J Open Source Softw 3: |
| Killian, Megan L; Locke, Ryan C; James, Michael G et al. (2018) Novel model for the induction of postnatal murine hip deformity. J Orthop Res : |
| Tate, Jess; Gillette, Karli; Burton, Brett et al. (2018) Reducing Error in ECG Forward Simulations With Improved Source Sampling. Front Physiol 9:1304 |
Showing the most recent 10 out of 191 publications
