PREEMACS
pGarciaS opened this issue · 1 comments
Resource info table
| Name | PREEMACS (pipeline for PREprocessing and Extraction of the MACaque brain Surface) |
| Authors | Pamela Garcia-Saldivar, Arun Garimella, Eduardo A. Garza-Villarreal, Felipe Mendez, Luis Concha and Hugo Merchant |
| Description | PREEMACS is a pipeline to process raw structural images in order to obtain brain surfaces and cortical thickness, without requiring manual editing. PREEMACS has a modular design, with three modules running independently: Preprocessing, Quality Control and Brain Surface estimation based on FreeSurfer. To evaluate the generalizability of our method, we tested PREEMACS on three different datasets of NHP images: PRIME-DE, UNC-Wisconsin Database and INB-UNAM. Results showed accurate and robust automatic brain surface extraction in our INB-UNAM database and precise extraction in the UNC-Wisconsin and PRIME-DE databases for images that passed the quality control segment of our pipeline. |
| Documentation | PREEMACS (https://github.com/pGarciaS/PREEMACS/wiki) |
| Link | GitHub Link (https://github.com/pGarciaS/PREEMACS) |
| Language | python, shell and matlab |
| Publication | - |
| Communication | GitHub Profile (https://github.com/pGarciaS) |
- Do NOT include this resource in periodic mailings about new resources on PRIME-RE
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Description
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Documentation
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Category
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Added!