Name
Title | ||
|---|---|---|
Partition-based optimization model for generative anatomy modeling language (POM-GAML). |
Abstract | ||
|---|---|---|
This study presents a novel approach to group anatomical constraints in 3D human shoulder model using community detection algorithms. A case study for 3D modeling for shoulder models developed for arthroscopic rotator cuff simulation was presented. Our results significantly reduced the computation time in conjunction with a decrease in error using constrained optimization by linear approximation, non-linear optimization solver. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1186/s12859-019-2626-7 | BMC bioinformatics |
Keywords | Field | DocType |
Arthroscopic rotator cuff,Modeling language for human anatomy,Nonlinear programming,Partition-based optimization,Virtual human anatomy | Anatomy,Exponential function,Biology,Nonlinear programming,Modeling language,Execution time,Generative grammar,Partition (number theory),Time complexity,Computation | Journal |
Volume | Issue | ISSN |
20 | Suppl 2 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 19 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Doga Demirel | 1 | 0 | 1.69 |
| Berk Cetinsaya | 2 | 0 | 0.68 |
| Tansel Halic | 3 | 82 | 13.71 |
| Sinan Kockara | 4 | 107 | 11.25 |
| Shahryar Ahmadi | 5 | 0 | 0.68 |