-
As described in [Aquino et al. (2020)](https://doi.org/10.1016/j.neuroimage.2020.116614), ordering voxels (within parcellations) by cluster similarity enhances the interpretability of carpet plots.
…
tsalo updated
3 years ago
-
`pcl::gpu::MarchingCubes::run`:
``` c++
if (triangles_buffer.empty())
triangles_buffer.create(DEFAULT_TRIANGLES_BUFFER_SIZE);
```
``` c++
DEFAULT_TRIANGLES_BUFFER_SIZE = 2 * 1000 * 1000 * POIN…
-
[This is a low-priority request, but it might be relatively easy to implement.]
In addition to returning the number of `PreSyn` or `PostSyn` on a body, it would be good to know how many "relationsh…
-
Question for @arokem: just to be sure, what are the coordinates DIPY expects?
- scanner (like MRTrix)
- voxel (FSL bvec/bval)
-
This is a good job.
I have some questions while reading the paper and the code.
The paper says that it can generate dense point clouds, but I don’t see any direct generation of dense point clouds …
-
bdata is a very convenient format, so I want to convert my nifti dataset to bData.
1. I read "example_fmriprep.ipynb" in the "examples" file to learn how to do the job. Is input dataset in (https…
-
I suggest that the examples should:
* output a plot; this involved adding a dependence on matplotlib
* reproduce examples (toys) from publications whenever this is possible. The standard way is to …
-
To help with extending and debugging the state machine, it will be helpful to have the option to render wireframes or markers indicating nodes, edges between nodes (labeled/colored by face type and di…
-
There appears to be a correction for 1-based indexing [here](https://github.com/cvnlab/nsdcode/blob/master/nsdcode/transform_data.py#L48) (i.e. moving from MATLAB to Python) but the interpolation wrap…
-
3D convolutions are important too!
Like 2D images in nature, 3D Volume data is very common, such as medical CT and MRI data, where voxels are uniformly distributed in 3D space.
The medical and …