Difference between revisions of "DBP1:Harvard"

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== [[DBP:Harvard:Collaboration:Slicer|Engineering: Slicer Improvement and Testing]] ==
 
== [[DBP:Harvard:Collaboration:Slicer|Engineering: Slicer Improvement and Testing]] ==
 
+
This ongoing work conducts testing and development of new features in Slicer and provides a bridge between developers and researchers using the software. [[DBP:Harvard:Collaboration:Slicer|More...]]
Here we write a very brief description of this project.  Notice a representative image is chosen from the project and places in the left column. [[DBP:Harvard:Collaboration:Slicer|More...]]
 
  
 
<font color="red">'''New: '''</font> Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.
 
<font color="red">'''New: '''</font> Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.

Revision as of 16:57, 18 December 2007

Home < DBP1:Harvard
Back to NA-MIC DBP 1

Overview of Harvard PNL DBP 1

<Overview here>

For more introductory information, follow this link.

Harvard PNL Projects

Shapeanalysis-UNC.jpg

Shape Analysis of Brain Structures

In this work, we present shape analysis algorithms for brain structures. More...

New: G Gerig, S Joshi, T Fletcher, K Gorczowski, S Xu, S M. Pizer, M Styner: Statistics of populations of images and its embedded objects: Driving applications in neuroimaging, IEEE Symposium on Biomedical Imaging ISBI 2006.

Dti-UNC.jpg

Algorithms: Diffusion Tensor Imaging (PNL-UNC)

Here we write a very brief description of this project. Notice a representative image is chosen from the project and places in the left column. More...

New: Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.

Clustering small.png

Algorithms: Diffusion Tensor Imaging (PNL-MIT)

This collaboration focuses on the analysis of diffusion tensor images of the brain, including clustering analysis of fiber tractography. More...

New: Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.

Seg-MIT.jpg

Algorithms: Anatomical Segmentation (PNL-MIT)

Research in this area produces algorithms used to segment medical images, for example separating the brain into separate tissue classes and neuroanatomical structures. More...

New: Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.

Striatum-GAT.jpg

Algorithms: Rule-based Segmentation (PNL-GaTech)

This project has produced a method for semi-automated parcellation of brain structures, including the dorsolateral prefrontal cortex and the basal ganglia of the human brain. More...

New: Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.

200px

Algorithms: Tensor Based Statistics (PNL-Utah)

The collaboration has focused on improving the measurement of diffusion tensors and comparison between diagnostic groups. More...


200px

Engineering: Slicer Improvement and Testing

This ongoing work conducts testing and development of new features in Slicer and provides a bridge between developers and researchers using the software. More...

New: Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.

200px

Training: Training Material and Expert Users Feedback

Here we write a very brief description of this project. Notice a representative image is chosen from the project and places in the left column. More...

New: Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.

200px

Biology: Genetics and Imaging (Toronto)

Here we write a very brief description of this project. Notice a representative image is chosen from the project and places in the left column. More...

New: Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.