Freixenet J - Search Results

1

Statistical shape and texture model of quadrature phase information for prostate segmentation.

Ghose S, Oliver A, Martí R, Lladó X, Freixenet J, Mitra J, Vilanova JC, Comet-Batlle J, Meriaudeau F. Ghose S, et al. Among authors: freixenet j. Int J Comput Assist Radiol Surg. 2012 Jan;7(1):43-55. doi: 10.1007/s11548-011-0616-y. Epub 2011 Jun 1. Int J Comput Assist Radiol Surg. 2012. PMID: 21629983

2

Spectral clustering of shape and probability prior models for automatic prostate segmentation.

Ghose S, Mitra J, Oliver A, Martí R, Lladó X, Freixenet J, Vilanova JC, Comet J, Sidibé D, Meriaudeau F. Ghose S, et al. Among authors: freixenet j. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2335-8. doi: 10.1109/EMBC.2012.6346431. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23366392

3

Influence of using manual or automatic breast density information in a mass detection CAD system.

Oliver A, Lladó X, Freixenet J, Martí R, Pérez E, Pont J, Zwiggelaar R. Oliver A, et al. Among authors: freixenet j. Acad Radiol. 2010 Jul;17(7):877-83. doi: 10.1016/j.acra.2010.04.013. Acad Radiol. 2010. PMID: 20540910

4

A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images.

Ghose S, Oliver A, Martí R, Lladó X, Vilanova JC, Freixenet J, Mitra J, Sidibé D, Meriaudeau F. Ghose S, et al. Among authors: freixenet j. Comput Methods Programs Biomed. 2012 Oct;108(1):262-87. doi: 10.1016/j.cmpb.2012.04.006. Epub 2012 Jun 25. Comput Methods Programs Biomed. 2012. PMID: 22739209

5

A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images.

Ghose S, Oliver A, Mitra J, Martí R, Lladó X, Freixenet J, Sidibé D, Vilanova JC, Comet J, Meriaudeau F. Ghose S, et al. Among authors: freixenet j. Med Image Anal. 2013 Aug;17(6):587-600. doi: 10.1016/j.media.2013.04.001. Epub 2013 Apr 11. Med Image Anal. 2013. PMID: 23666263

6

Optimally discriminant moments for speckle detection in real B-scan images.

Martí R, Martí J, Freixenet J, Zwiggelaar R, Vilanova JC, Barceló J. Martí R, et al. Among authors: freixenet j. Ultrasonics. 2008 Jul;48(3):169-81. doi: 10.1016/j.ultras.2007.11.010. Epub 2007 Dec 23. Ultrasonics. 2008. PMID: 18237758

7

A textural approach for mass false positive reduction in mammography.

Lladó X, Oliver A, Freixenet J, Martí R, Martí J. Lladó X, et al. Among authors: freixenet j. Comput Med Imaging Graph. 2009 Sep;33(6):415-22. doi: 10.1016/j.compmedimag.2009.03.007. Epub 2009 Apr 29. Comput Med Imaging Graph. 2009. PMID: 19406614

8

A comparison of breast tissue classification techniques.

Oliver A, Freixenet J, Martí R, Zwiggelaar R. Oliver A, et al. Among authors: freixenet j. Med Image Comput Comput Assist Interv. 2006;9(Pt 2):872-9. doi: 10.1007/11866763_107. Med Image Comput Comput Assist Interv. 2006. PMID: 17354855 Review.

9

False positive reduction in mammographic mass detection using local binary patterns.

Oliver A, Lladó X, Freixenet J, Martí J. Oliver A, et al. Among authors: freixenet j. Med Image Comput Comput Assist Interv. 2007;10(Pt 1):286-93. doi: 10.1007/978-3-540-75757-3_35. Med Image Comput Comput Assist Interv. 2007. PMID: 18051070

10

Eigendetection of masses considering false positive reduction and breast density information.

Freixenet J, Oliver A, Martí R, Lladó X, Pont J, Pérez E, Denton ER, Zwiggelaar R. Freixenet J, et al. Med Phys. 2008 May;35(5):1840-53. doi: 10.1118/1.2897950. Med Phys. 2008. PMID: 18561659

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