Difference between revisions of "Downloads"
From NAMIC Wiki
| Line 8: | Line 8: | ||
==Data== | ==Data== | ||
| − | * [http://insight-journal.org/midas/ | + | * [http://insight-journal.org/midas/collection/view/190 Brain: Multi-modality (sMRI, DTI, fMRI)] |
| − | * [http://insight-journal.org/midas/community/view/ | + | * [http://insight-journal.org/midas/community/view/24 Brain: 2-4 Year Old] |
| − | * [http://insight-journal.org/midas/community/view/ | + | * [http://insight-journal.org/midas/community/view/25 Prostate: 5 cases] |
| − | * [http://insight-journal.org/midas/ | + | * [http://insight-journal.org/midas/item/view/2454 Prostate: PerkStation Tutorial Dataset] |
| − | * [http://insight-journal.org/midas/ | + | * [http://insight-journal.org/midas/collection/view/189 Prostate: Transrectal Tutorial Dataset] |
* [https://mri.radiology.uiowa.edu//visible_human_datasets.html Visible Human Datasets] | * [https://mri.radiology.uiowa.edu//visible_human_datasets.html Visible Human Datasets] | ||
* [[Projects:RegistrationDocumentation:UseCaseInventory | Registration Use Case Library]] | * [[Projects:RegistrationDocumentation:UseCaseInventory | Registration Use Case Library]] | ||
Revision as of 23:18, 9 February 2010
Home < DownloadsThe following is a collection of electronic resources provided by NA-MIC. This includes software, data, tutorials, presentations, and additional documentation.
Software
Data
- Brain: Multi-modality (sMRI, DTI, fMRI)
- Brain: 2-4 Year Old
- Prostate: 5 cases
- Prostate: PerkStation Tutorial Dataset
- Prostate: Transrectal Tutorial Dataset
- Visible Human Datasets
- Registration Use Case Library
Tutorials
Tutorials for Biomedical Engineers and Clinical Research Users of the NA-MIC Kit
- Python Stochastic Tractography Module
- White Matter Lesion Classification
- Trans-rectal MR guided prostate biopsy and PerkStationSlicerTutorial
- ARCTIC: Automatic Regional Cortical ThICkness
- Confocal Microscopy
- Non-human Primates Segmentation Tutorial
- Hammer Registration for Brain MRI
- Centerline Extraction of Coronary Arteries using VMTK
- EM Fiber Clustering
Additional Tutorials for Developers
