atlas_data.tar.gz (175.58 MB)
multiAtlasTT_data
Version 7 2020-10-14, 19:18
Version 6 2020-02-22, 18:01
Version 5 2019-01-07, 04:40
Version 4 2018-05-30, 16:44
Version 3 2018-05-28, 15:38
Version 2 2018-05-17, 17:32
Version 1 2018-03-20, 15:40
dataset
posted on 2019-01-07, 04:40 authored by Joshua FaskowitzJoshua FaskowitzMulti-Atlas Transfer Tools for Neuroimaging (maTT)
This figshare repository contains the data used for the maTT project. The atlas_data folder here contains additional .gcs files that can be used for the maTT2 functionality. When running maTT2, the data here should be organized into each respective atlas folder (here: https://github.com/faskowit/multiAtlasTT/tree/master/atlas_data). When this tar.gz is unzipped in the multiAtlasTT base directory, it should automatically unzip into this structure.
Please check out the accompanying Github repository for details about using maTT and maTT2.
These gcs files were created after labeling the Mindboggle 101 individual subjects data with the maTT label transfer scripts, and then creating a GCS with these individual subject annotation files. Note: only light quality control was performed on the FreeSurfer outputs. Unlike the Mindboggle project, the annotation files were not carefully checked.
Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the National Science Foundation.
This figshare repository contains the data used for the maTT project. The atlas_data folder here contains additional .gcs files that can be used for the maTT2 functionality. When running maTT2, the data here should be organized into each respective atlas folder (here: https://github.com/faskowit/multiAtlasTT/tree/master/atlas_data). When this tar.gz is unzipped in the multiAtlasTT base directory, it should automatically unzip into this structure.
Please check out the accompanying Github repository for details about using maTT and maTT2.
These gcs files were created after labeling the Mindboggle 101 individual subjects data with the maTT label transfer scripts, and then creating a GCS with these individual subject annotation files. Note: only light quality control was performed on the FreeSurfer outputs. Unlike the Mindboggle project, the annotation files were not carefully checked.
See also app-multiAtlasTT (https://github.com/faskowit/app-multiAtlasTT) for the brainlife.io version of this tool, which will automatically download the info you need from this data repo.
Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the National Science Foundation.