Title | ||
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A discriminative feature selection approach for shape analysis: Application to fetal brain cortical folding. |
Abstract | ||
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•We propose a novel method for cortical folding analysis of the fetal brain.•Most discriminative cortical points are selected by a feature selection algorithm on time-varying deformation fields.•The method is validated on two synthetical datasets with linear and non-linear dynamics through time.•The method is applied on an heterogeneous fetal brain population with different ages, in order to study the cortical folding patterns. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1016/j.media.2016.07.005 | Medical Image Analysis |
Keywords | Field | DocType |
Structural MRI,Fetal imaging,Feature selection,Brain development | Brain development,Computer vision,Brain mri,Pattern recognition,Feature selection,Artificial intelligence,Discriminative model,Mathematics,Computation,Shape analysis (digital geometry) | Journal |
Volume | ISSN | Citations |
35 | 1361-8415 | 0 |
PageRank | References | Authors |
0.34 | 26 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Julien Pontabry | 1 | 29 | 2.16 |
Francois Rousseau | 2 | 121 | 16.81 |
Colin Studholme | 3 | 1824 | 241.10 |
M Koob | 4 | 37 | 3.19 |
Jean-Louis Dietemann | 5 | 57 | 4.34 |