24.1.2

What's Changed

• DOC: fixed same works by @NingAnMe in #177
• NEW: add relevant descriptions of offline by @NingAnMe in #178
• 24.1.x by @NingAnMe in #181
• 24.1.x by @Ireneyou33 in #182
• NEW:Add a separate script file for the deep learning model to run in Docker by @lincong8722 in #186
• Cifti docs outputs by @Sasori-Sun in #187
• DEBUG:Fixed bug in file name by @lincong8722 in #188
• 24.1.x by @NingAnMe in #189

Full Changelog: 24.1.1...24.1.2

24.1.1

1. Update: The minimum logical CPU core is 4, and the minimum RAM requirement is 12GB.
2. Update: Speed up, by optimizing several processes in DeepPrep to be multiprocessing.
3. Doc: Add step-by-step Singularity user guide in :ref:singularity-guide.
4. Doc: List all the training datasets used in Deep Learning models (FastSurfer, FastCSR, SUGAR, SynthMorph) in :ref:DL-trainingsets.
5. Doc: Add confounds descriptions in :ref:outputs-confounds.

Full Changelog: 24.1.0...24.1.1

24.1.0

The released pbfslab/deepprep:24.1.0 improves the overall volumetric registration quality,
reduces the BOLD-to-template registration smoothness, and provides users with more confounds.
Besides, DeepPrep now offers more flexible parameter settings.
For instance, multiple task labels and participant labels can be run by specifying --bold_task_type and --participant_label.
To save processing time, users can choose to skip generating results in volume space or surface space by setting None
to --bold_volume_space or --bold_surface_spaces.

Full Changelog: 23.1.0...24.1.0

23.1.0

Full Changelog: https://github.com/pBFSLab/DeepPrep/commits/23.1.0