Title | ||
---|---|---|
MRICloud: Delivering High-Throughput MRI Neuroinformatics as Cloud-Based Software as a Service. |
Abstract | ||
---|---|---|
Image analysis tools for brain magnetic resonance imaging (MRI) have become increasingly important for computer-aided diagnosis that involves large amounts of medical image data. The authors of this article have endeavored to develop software tools to serve the clinical research community, starting with a stand-alone executable, hybrid local computation model for today's modern architecture of clo... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/MCSE.2016.93 | Computing in Science & Engineering |
Keywords | Field | DocType |
Data science,Data analysis,Knowledge discovery,Cloud computing,Software as a service,Image segmentation,Informatics,Scientific computing | Data science,Neuroinformatics,Software engineering,Computer science,Server,Software as a service,Computational science,Software,Knowledge extraction,User interface,Executable,Cloud computing | Journal |
Volume | Issue | ISSN |
18 | 5 | 1521-9615 |
Citations | PageRank | References |
3 | 0.39 | 13 |
Authors | ||
9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Susumu Mori | 1 | 645 | 43.22 |
Dan Wu | 2 | 6 | 1.10 |
Can Ceritoglu | 3 | 139 | 10.15 |
Yue Li | 4 | 12 | 1.63 |
Anthony Kolasny | 5 | 17 | 2.70 |
Marc Vaillant | 6 | 258 | 23.01 |
Andreia V Faria | 7 | 253 | 11.39 |
Kenichi Oishi | 8 | 456 | 23.56 |
Michael I Miller | 9 | 3123 | 422.82 |