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TMI
2010
164views more  TMI 2010»
13 years 2 months ago
Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...
Ramin Eslami, Mathews Jacob
MMM
2011
Springer
234views Multimedia» more  MMM 2011»
12 years 11 months ago
Image Super-Resolution by Vectorizing Edges
As the resolution of output device increases, the demand of high resolution contents has become more eagerly. Therefore, the image superresolution algorithms become more important....
Chia-Jung Hung, Chun-Kai Huang, Bing-Yu Chen
CVPR
2009
IEEE
15 years 2 months ago
A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images (HARDI)
High angular resolution diffusion imaging has become an important magnetic resonance technique for in vivo imaging. Most current research in this field focuses on developing met...
Alvina Goh, Christophe Lenglet, Paul M. Thompson, ...
RECOMB
2008
Springer
14 years 8 months ago
High-Resolution Modeling of Cellular Signaling Networks
A central challenge in systems biology is the reconstruction of biological networks from high-throughput data sets. A particularly difficult case of this is the inference of dynami...
Michael Baym, Chris Bakal, Norbert Perrimon, Bonni...
ECCV
1996
Springer
14 years 9 months ago
Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery
We present a technique to extract complex suburban roofs from sets of aerial images. Because we combine 2-D edge information, photometric and chromatic attributes and 3-D informati...
Frank Bignone, Olof Henricsson, Pascal Fua, Markus...