1004 search results - page 19 / 201 » Subspace Models for Functional MRI Data Analysis |
77
Voted
ISBI
2004
IEEE
15 years 10 months ago
2004
IEEE
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
TMI
1998
14 years 9 months ago
1998
Abstract—Functional magnetic resonance images (fMRI’s) provide high-resolution datasets which allow researchers to obtain accurate delineation and sensitive detection of activa...
83
Voted
KDD
2007
ACM
15 years 10 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
87
Voted
ICIP
2007
IEEE
15 years 11 months ago
2007
IEEE
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
CMPB
2010
14 years 9 months ago
2010
Recent advances in 4D imaging and real-time imaging provide image data with clinically important cardiac dynamic information at high spatial or temporal resolution. However, the en...