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86
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TMI
2010
172views more  TMI 2010»
14 years 8 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
82
Voted
ICASSP
2009
IEEE
15 years 5 months ago
Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...
Chenlu Qiu, Wei Lu, Namrata Vaswani
92
Voted
RSFDGRC
2005
Springer
100views Data Mining» more  RSFDGRC 2005»
15 years 3 months ago
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts
Abstract. We introduce a hybrid approach to magnetic resonance image segmentation using unsupervised clustering and the rules derived from approximate decision reducts. We utilize ...
Sebastian Widz, Kenneth Revett, Dominik Slezak
82
Voted
MICCAI
2000
Springer
15 years 1 months ago
Mixed Reality Merging of Endoscopic Images and 3-D Surfaces
In image-guided neurosurgery, "mixed reality" merging has been used to merge video images with an underlying computer model. We have developed methods to map intra-operat...
Damini Dey, Piotr J. Slomka, David G. Gobbi, Terry...
AGI
2008
14 years 11 months ago
Artificial general intelligence: an organism and level based position statement
Abstract. Do simple animals, even single-celled animals, display general intelligence? If we take this to mean that they can cope with their environment, even when it is dynamic, t...
Leslie S. Smith