| mne-tools/mne-python |
2,449 |
|
99 |
187 |
about 2 years ago |
76 |
November 20, 2023 |
519 |
bsd-3-clause |
Python |
| MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python |
| DLTK/DLTK |
1,293 |
|
0 |
0 |
about 4 years ago |
0 |
|
11 |
apache-2.0 |
Python |
| Deep Learning Toolkit for Medical Image Analysis |
| nilearn/nilearn |
1,076 |
|
0 |
0 |
about 2 years ago |
0 |
|
261 |
other |
Python |
| Machine learning for NeuroImaging in Python |
| dipy/dipy |
647 |
|
0 |
0 |
about 2 years ago |
0 |
|
155 |
other |
Python |
| DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging. |
| brainiak/brainiak |
315 |
|
1 |
0 |
over 2 years ago |
15 |
October 15, 2020 |
87 |
apache-2.0 |
Python |
| Brain Imaging Analysis Kit |
| nipreps/mriqc |
253 |
|
0 |
1 |
over 2 years ago |
104 |
June 14, 2023 |
86 |
apache-2.0 |
Python |
| Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain |
| aramis-lab/clinica |
201 |
|
0 |
1 |
about 2 years ago |
36 |
September 08, 2023 |
62 |
other |
Python |
| Software platform for clinical neuroimaging studies |
| neuronets/nobrainer |
139 |
|
0 |
0 |
over 2 years ago |
18 |
April 04, 2024 |
44 |
other |
Python |
| A framework for developing neural network models for 3D image processing. |
| canlab/CanlabCore |
135 |
|
0 |
0 |
about 2 years ago |
0 |
|
31 |
other |
MATLAB |
| Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level commands tailored to neuroimaging analysis. |
| raamana/neuropredict |
99 |
|
0 |
0 |
over 2 years ago |
24 |
July 22, 2020 |
28 |
other |
Python |
| Easy and comprehensive assessment of predictive power, with support for neuroimaging features |
