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» Adaptive Segmentation of MRI Data
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MICCAI
2007
Springer
14 years 8 months ago
Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh
MICCAI
2004
Springer
14 years 8 months ago
Anisotropic Interpolation of DT-MRI
Diffusion tensor MRI (DT-MRI) is an image modality that is gaining clinical importance. After some preliminaries that describe the fundamentals of this imaging modality, we present...
Carlos A. Castaño-Moraga, Miguel A. Rodr&ia...
ICPR
2008
IEEE
14 years 2 months ago
Imaging biomarker analysis of rat mammary fat pads and glandular tissues in MRI images
In studying the relationship between risk factors and breast cancer, the growth patterns of fat pads and glandular tissues are considered as important biomarkers. The aim of this ...
Yimo Tao, Jianhua Xuan, Matthew T. Freedman, Glori...
ISBI
2002
IEEE
14 years 8 months ago
Robust estimation of the hemodynamic response function in asynchronous multitasks multisessions event-related fMRI paradigms
Hemodynamic Response Function (HRF) estimation in noisy functional Magnetic Resonance Imaging (fMRI) is essential for a better understanding of cerebral activations. Previous work...
Guillaume Marrelec, Habib Benali, Jérô...
CVPR
2012
IEEE
11 years 10 months ago
From label fusion to correspondence fusion: A new approach to unbiased groupwise registration
Label fusion strategies are used in multi-atlas image segmentation approaches to compute a consensus segmentation of an image, given a set of candidate segmentations produced by r...
Paul A. Yushkevich, Hongzhi Wang, John Pluta, Bria...