Welcome to the collection of documents for Joint Anisotropic LMMSE Filter for Stationary Rician noise removal in DWI.

Adding Documents: Members of Joint Anisotropic LMMSE Filter for Stationary Rician noise removal in DWI may submit documents to the folders below; however, an administrator will decide whether or not to publish a document.

Deleting Documents: If you find an out-dated document, please send a request to the tool/resource administrator.

Add New Document
Show documents in: 
Folders/DocumentsAdd
DWI filtering using joint information for DTI and HARDI
Description: MedIA paper describing the original, isotropic joint LMMSE
Updated: Feb 4, 2013
DWI filtering using joint information for DTI and HARDI (abstract)
Description: Abstract of the MedIA paper
Updated: Feb 4, 2013
DWI filtering using joint information for DTI and HARDI (PMID)
Description: Tristan-Vega, Antonio, et al. DWI filtering using joint information for DTI and HARDI. ''Med Image Anal''. 2010 Apr; '''14''' (2):205-18
Updated: Feb 4, 2013
Full usage description of the command line module
Description: This is the help as output by the command line
Updated: Feb 4, 2013
Merging squared-magnitude approaches to DWI denoising: An adaptive Wiener filter tuned to the anatomical contents of the image (Abstract)
Description: Abstract of the IEEE EMBC'2013 paper (to appear)
Updated: Apr 6, 2013
Merging squared-magnitude approaches to DWI denoising: An adaptive Wiener filter tuned to the anatomical contents of the image (EMBC paper)
Description: Link to the IEEExplore resource
Updated: Oct 18, 2013
Merging squared-magnitude approaches to DWI denoising: An adaptive Wiener filter tuned to the anatomical contents of the image (EMBC poster)
Description: Poster presented at EMBC'2013
Updated: Jul 3, 2013
Merging squared-magnitude approaches to DWI denoising: An adaptive Wiener filter tuned to the anatomical contents of the image (PMID)
Description: Tristan-Vega, Antonio, et al. Merging squared-magnitude approaches to DWI denoising: An adaptive Wiener filter tuned to the anatomical contents of the image. ''Conf Proc IEEE Eng Med Biol Soc''. 2013 Jul; '''2013''': 507-10
Updated: Oct 18, 2013