| Publication Type |
pre-print |
| School or College |
College of Engineering |
| Department |
Computing, School of |
| Creator |
Johnson, Christopher R. |
| Title |
Biomedical visual computing: case studies and challenges |
| Date |
2012-01-01 |
| Description |
Advances in computational geometric modeling, imaging, and simulation let researchers build and test models of increasing complexity, generating unprecedented amounts of data. As recent research in biomedical applications illustrates, visualization will be critical in making this vast amount of data usable; it's also fundamental to understanding models of complex phenomena. |
| Type |
Text |
| Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| Volume |
14 |
| Issue |
1 |
| First Page |
12 |
| Last Page |
21 |
| Dissertation Institution |
University of Utah |
| Language |
eng |
| Bibliographic Citation |
Johnson, C. R. (2012). Biomedical visual computing: case studies and challenges. Computing in Science and Engineering, 14(1), no. 6025337, 12-21. |
| Rights Management |
(c) 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Format Medium |
application/pdf |
| Format Extent |
5,600,516 bytes |
| Identifier |
uspace,17625 |
| ARK |
ark:/87278/s6571wrg |
| Setname |
ir_uspace |
| ID |
708057 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6571wrg |
