dfsp-spirit meshlearn issues - Githubissues

dfsp-spirit / meshlearn

AI model to predict computationally expensive vertex-wise descriptors like the local gyrification index from the mesh structure.

MIT License

3 stars 0 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

Implement post-processing: smooth data

#15 dfsp-spirit opened 2 years ago
0
Model validation: Plot predicted and computed lGI

#14 dfsp-spirit opened 2 years ago
0
CI: Some tests are killed on Github Actions with error 137

#13 dfsp-spirit opened 2 years ago
1
Feature request: add number of neighbors in ball point queries with different radii as features?

#12 dfsp-spirit closed 2 years ago
1
Architecture: split function into submodules 'data' and 'model'

#11 dfsp-spirit closed 2 years ago
1
Maybe: add async tensorflow data loader?

#10 dfsp-spirit opened 2 years ago
0
Data, reproducibility: upload training data to Zenodo

#9 dfsp-spirit closed 2 years ago
1
Training: Use only neurotypical ABIDE subjects?

#8 dfsp-spirit closed 2 years ago
1
Feature Engineering: Add more local (per-vertex) shape descriptors

#7 dfsp-spirit closed 2 years ago
1
Training: allow lh and rh of a subject to be one in training, one in test set?

#6 dfsp-spirit closed 2 years ago
2
Feature Engineering: Add more global mesh descriptors

#5 dfsp-spirit closed 2 years ago
1
Data Loader: Load less data per file, and more files.

#4 dfsp-spirit closed 2 years ago
2
Model: Implement k-fold cross-validation

#3 dfsp-spirit opened 2 years ago
1
Model: Implement hyperparameter optimization for lightgbm

#2 dfsp-spirit closed 2 years ago
1
Data Loader: add variables related to total brain size to feature columns

#1 dfsp-spirit closed 2 years ago
2