Difference between revisions of "Downloads"
From NAMIC Wiki
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==Tutorials== | ==Tutorials== | ||
| − | + | '''Tutorials for Biomedical Engineers and Clinical Research Users of the NA-MIC Kit''' | |
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* [[Media:Stochastic_June09_1.ppt|Python Stochastic Tractography Module]] | * [[Media:Stochastic_June09_1.ppt|Python Stochastic Tractography Module]] | ||
* [[media:Slicer3Training_WhiteMatterLesions_v2.3.pdf|White Matter Lesion Classification]] | * [[media:Slicer3Training_WhiteMatterLesions_v2.3.pdf|White Matter Lesion Classification]] | ||
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* [[AHM 2010 Tutorial Contest - CoronaryArteriesCenterlinesVMTK | Centerline Extraction of Coronary Arteries using VMTK]] | * [[AHM 2010 Tutorial Contest - CoronaryArteriesCenterlinesVMTK | Centerline Extraction of Coronary Arteries using VMTK]] | ||
* [[AHM 2010 Tutorial Contest - EM Fiber Clustering| EM Fiber Clustering]] | * [[AHM 2010 Tutorial Contest - EM Fiber Clustering| EM Fiber Clustering]] | ||
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| + | '''Additional Tutorials for Developers''' | ||
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* [[Slicer3:Training | Slicer3 Training 101]] | * [[Slicer3:Training | Slicer3 Training 101]] | ||
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Revision as of 03:50, 8 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: 2-4 Year Old
- Brain: Multi-modality (sMRI, DTI, fMRI)
- 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
