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» Data Mining from Functional Brain Images
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ISBI
2004
IEEE
16 years 5 months ago
Controling The False Positive Detection Rate In Fuzzy Clustering of fMRI Data
Despite its potential advantages for fMRI analysis, fuzzy C-means (FCM) clustering suffers from limitations such as the need for a priori knowledge of the number of clusters, and ...
Hesamoddin Jahanian, Hamid Soltanian-Zadeh, Gholam...
150
Voted
ICIAP
2005
ACM
16 years 4 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
137
Voted
CBMS
2007
IEEE
15 years 11 months ago
MS2DB: A Mass-Based Hashing Algorithm for the Identification of Disulfide Linkage Patterns in Protein Utilizing Mass Spectrometr
The tertiary structure and biological function of a protein can be better understood given knowledge of the number and location of its disulfide bonds. By utilizing mass spectrome...
Timothy Lee, Rahul Singh, Ten-Yang Yen, Bruce Mach...
116
Voted
ICASSP
2010
IEEE
15 years 2 months ago
Restoration-based iron oxide particles quantification in MR images
Magnetic Resonance Imaging (MRI) is a medical imaging modality that provides structural and functional information. To improve the contrast of MR images, contrast agents, such as ...
Delphine Charpigny, Thomas Grenier, Christophe Ode...
146
Voted
ICIP
1994
IEEE
15 years 8 months ago
Active Region Models for Segmenting Medical Images
This paper describes a new region-growing method for segmenting medical images. The method uses a closed snake driven by a pressure force that is a function of the statistical cha...
Jim Ivins, John Porrill