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ISBI
2008
IEEE
16 years 3 months ago
Robust maximum likelihood estimation in Q-space MRI
Q-space imaging is an emerging diffusion weighted MR imaging technique to estimate molecular diffusion probability density functions (PDF's) without the need to assume a Gaus...
Bennett A. Landman, Jonathan A. D. Farrell, Seth A...
IPMI
2007
Springer
16 years 3 months ago
Maximum Likelihood Estimators in Magnetic Resonance Imaging
Images of the MRI signal intensity are normally constructed by taking the magnitude of the complex-valued data. This results in a biased estimate of the true signal intensity. We c...
M. Dylan Tisdall, M. Stella Atkins, R. A. Lockhart
ICASSP
2011
IEEE
14 years 6 months ago
Maximum likelihood SAR autofocus with low-return region
Autofocus algorithms deal with image restoration in a nonideal synthetic aperture radar (SAR) imaging system. We propose a novel autofocus algorithm, denoted as MLA, that is based...
Kuang-Hung Liu, Ami Wiesel, David C. Munson
FIMH
2009
Springer
15 years 9 months ago
Maximum Likelihood Motion Estimation in 3D Echocardiography through Non-rigid Registration in Spherical Coordinates
Automated motion tracking of the myocardium from 3D echocardiography provides insight into heart’s architecture and function. We present a method for 3D cardiac motion tracking u...
Andriy Myronenko, Xubo B. Song, David J. Sahn
ISBI
2011
IEEE
14 years 6 months ago
Hippocampus segmentation using a stable maximum likelihood classifier ensemble algorithm
We develop a new algorithm to segment the hippocampus from MR images. Our method uses a new classifier ensemble algorithm to correct segmentation errors produced by a multi-atlas...
Hongzhi Wang, Jung Wook Suh, Sandhitsu R. Das, Mur...