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116
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MICCAI
2004
Springer
16 years 4 months ago
Automatic Segmentation of Neonatal Brain MRI
This paper describes an automatic tissue segmentation method for neonatal MRI. The analysis and study of neonatal brain MRI is of great interest due to its potential for studying e...
Marcel Prastawa, John H. Gilmore, Weili Lin, Guido...
173
Voted
IPMI
1999
Springer
16 years 4 months ago
Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical Models
The estimation of soft tissue deformation from 3D image sequences is an important problem in a number of fields such as diagnosis of heart disease and image guided surgery. In thi...
Xenophon Papademetris, Pengcheng Shi, Donald P. Di...
ICML
2009
IEEE
16 years 4 months ago
Deep transfer via second-order Markov logic
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Jesse Davis, Pedro Domingos
170
Voted
ICML
2000
IEEE
16 years 4 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore
106
Voted
ICSE
2008
IEEE-ACM
16 years 4 months ago
Dynamic detection of atomic-set-serializability violations
Previously we presented atomic sets, memory locations that share some consistency property, and units of work, code fragments that preserve consistency of atomic sets on which the...
Christian Hammer, Julian Dolby, Mandana Vaziri, Fr...