scholarly journals Application of Independent Component Analysis techniques in speckle noise reduction of retinal OCT images

Optik ◽  
2016 ◽  
Vol 127 (15) ◽  
pp. 5783-5791 ◽  
Author(s):  
Ahmadreza Baghaie ◽  
Roshan M. D'Souza ◽  
Zeyun Yu
2004 ◽  
Vol 14 (04) ◽  
pp. 217-228 ◽  
Author(s):  
ANKE MEYER-BÄSE ◽  
OLIVER LANGE ◽  
AXEL WISMÜLLER ◽  
HELGE RITTER

Data-driven fMRI analysis techniques include independent component analysis (ICA) and different types of clustering in the temporal domain. Since each of these methods has its particular strengths, it is natural to look for an approach that unifies Kohonen's self-organizing map and ICA. This is given by the topographic independent component analysis. While achieved by a slight modification of the ICA model, it can be at the same time used to define a topographic order (clusters) between the components, and thus has the usual computational advantages associated with topographic maps. In this contribution, we can show that when applied to fMRI analysis it outperforms FastICA.


NeuroImage ◽  
2001 ◽  
Vol 13 (6) ◽  
pp. 33
Author(s):  
Toshiharu Nakai ◽  
Shigeru Muraki ◽  
Kayako Matsuo ◽  
Chikako Kato ◽  
Gary Glover ◽  
...  

2004 ◽  
Author(s):  
Axel Wismueller ◽  
Anke Meyer-Base ◽  
Oliver Lange ◽  
Thomas D. Otto ◽  
Dorothee Auer

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