Difference between revisions of "Downloads"
From NAMIC Wiki
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* [http://insight-journal.org/midas/community/view/25 Prostate: 5 cases] | * [http://insight-journal.org/midas/community/view/25 Prostate: 5 cases] | ||
* [http://central.xnat.org/app/template/XDATScreen_report_xnat_projectData.vm/search_element/xnat:projectData/search_field/xnat:projectData.ID/search_value/NCIGT_PROSTATE Prostate: 10 cases] | * [http://central.xnat.org/app/template/XDATScreen_report_xnat_projectData.vm/search_element/xnat:projectData/search_field/xnat:projectData.ID/search_value/NCIGT_PROSTATE Prostate: 10 cases] | ||
− | * [http://insight-journal.org/midas/item/view/2454 | + | * [http://insight-journal.org/midas/item/view/2454 Spine Phantom: PerkStation Tutorial Dataset] |
* [http://insight-journal.org/midas/collection/view/189 Prostate: Transrectal Tutorial Dataset] | * [http://insight-journal.org/midas/collection/view/189 Prostate: Transrectal Tutorial Dataset] | ||
* [[Projects:RegistrationDocumentation:UseCaseInventory | Registration Case Library Home Page]] | * [[Projects:RegistrationDocumentation:UseCaseInventory | Registration Case Library Home Page]] |
Revision as of 01:08, 26 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: 10 cases
- Spine Phantom: PerkStation Tutorial Dataset
- Prostate: Transrectal Tutorial Dataset
- Registration Case Library Home Page
- Visible Human Datasets
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