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» Image Based Regression Using Boosting Method
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ISBI
2004
IEEE
16 years 7 months ago
Simultaneous Estimation of Kinetic Parameters and the Input Function from DCE-MRI Data: Theory and Simulation
DCE-MRI is a noninvasive functional imaging technique capable of assessing tumor microvasculature clinically. Major limitations associated with conventional region-of-interest (RO...
Zhu Han, Z. Jane Wang, K. J. Ray Liu, Yue Wang
ICIP
2000
IEEE
15 years 11 months ago
Video Dissolve and Wipe Detection via Spatio-Temporal Images of Chromatic Histogram Differences
Gradual transitions represent a challenging problem for temporal segmentation of video. Here we present two new features for detecting these. Recently, Ngo et al. set out a method...
Mark S. Drew, Ze-Nian Li, Xiang Zhong
189
Voted
VLSID
2000
IEEE
164views VLSI» more  VLSID 2000»
15 years 10 months ago
A Fast Algorithm for Computing the Euler Number of an Image and its VLSI Implementation
Digital images are convenient media for describing and storing spatial, temporal, spectral, and physical components of information contained in a variety of domains(e.g. aerial/sa...
Sabyasachi Dey, Bhargab B. Bhattacharya, Malay Kum...
156
Voted
TMI
1998
128views more  TMI 1998»
15 years 6 months ago
Fully Automatic Segmentation of the Brain in MRI
— A robust fully automatic method for segmenting the brain from head magnetic resonance (MR) images has been developed, which works even in the presence of radio frequency (RF) i...
M. Stella Atkins, Blair T. Mackiewich
UAI
2003
15 years 7 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén