Difference between revisions of "DBP1:Harvard"
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Revision as of 17:07, 18 December 2007
Home < DBP1:HarvardBack to NA-MIC DBP 1
Overview of Harvard PNL DBP 1
<Overview here>
For more introductory information, follow this link.
Harvard PNL Projects
Shape Analysis of Brain StructuresIn 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. | |
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. | |
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. | |
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. | |
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. | |
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Algorithms: Tensor Based Statistics (PNL-Utah)This collaboration has focused on improving the measurement of diffusion tensors and comparison between diagnostic groups. More...
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Engineering: Slicer Improvement and TestingThis 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. |
Training: Training Material and Expert Users FeedbackWork in this area has created training materials for Slicer software with the input of expert users. More...
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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. |