187 related articles for article (PubMed ID: 24579148)
1. Representation learning: a unified deep learning framework for automatic prostate MR segmentation.
Liao S; Gao Y; Oto A; Shen D
Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):254-61. PubMed ID: 24579148
[TBL] [Abstract][Full Text] [Related]
2. Automatic prostate MR image segmentation with sparse label propagation and domain-specific manifold regularization.
Liao S; Gao Y; Shi Y; Yousuf A; Karademir I; Oto A; Shen D
Inf Process Med Imaging; 2013; 23():511-23. PubMed ID: 24683995
[TBL] [Abstract][Full Text] [Related]
3. Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning.
Guo Y; Gao Y; Shao Y; Price T; Oto A; Shen D
Med Phys; 2014 Jul; 41(7):072303. PubMed ID: 24989402
[TBL] [Abstract][Full Text] [Related]
4. Unsupervised deep feature learning for deformable registration of MR brain images.
Wu G; Kim M; Wang Q; Gao Y; Liao S; Shen D
Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):649-56. PubMed ID: 24579196
[TBL] [Abstract][Full Text] [Related]
5. 3D automatic segmentation and reconstruction of prostate on MR images.
Betrouni N; Puech P; Dewalle AS; Lopes R; Dubois P; Vermandel M
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5259-62. PubMed ID: 18003194
[TBL] [Abstract][Full Text] [Related]
6. A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation.
Toth R; Tiwari P; Rosen M; Reed G; Kurhanewicz J; Kalyanpur A; Pungavkar S; Madabhushi A
Med Image Anal; 2011 Apr; 15(2):214-25. PubMed ID: 21195016
[TBL] [Abstract][Full Text] [Related]
7. Multiscale 3-D shape representation and segmentation using spherical wavelets.
Nain D; Haker S; Bobick A; Tannenbaum A
IEEE Trans Med Imaging; 2007 Apr; 26(4):598-618. PubMed ID: 17427745
[TBL] [Abstract][Full Text] [Related]
8. Automatic hippocampus segmentation of 7.0 Tesla MR images by combining multiple atlases and auto-context models.
Kim M; Wu G; Li W; Wang L; Son YD; Cho ZH; Shen D
Neuroimage; 2013 Dec; 83():335-45. PubMed ID: 23769921
[TBL] [Abstract][Full Text] [Related]
9. A general framework for image segmentation using ordered spatial dependency.
Rousson M; Xu C
Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):848-55. PubMed ID: 17354852
[TBL] [Abstract][Full Text] [Related]
10. A pattern recognition approach to zonal segmentation of the prostate on MRI.
Litjens G; Debats O; van de Ven W; Karssemeijer N; Huisman H
Med Image Comput Comput Assist Interv; 2012; 15(Pt 2):413-20. PubMed ID: 23286075
[TBL] [Abstract][Full Text] [Related]
11. Semi-supervised and active learning for automatic segmentation of Crohn's disease.
Mahapatra D; Schüffler PJ; Tielbeek JA; Vos FM; Buhmann JM
Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):214-21. PubMed ID: 24579143
[TBL] [Abstract][Full Text] [Related]
12. A coupled global registration and segmentation framework with application to magnetic resonance prostate imagery.
Gao Y; Sandhu R; Fichtinger G; Tannenbaum AR
IEEE Trans Med Imaging; 2010 Oct; 29(10):1781-94. PubMed ID: 20529727
[TBL] [Abstract][Full Text] [Related]
13. 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
Med Image Anal; 2013 Aug; 17(6):587-600. PubMed ID: 23666263
[TBL] [Abstract][Full Text] [Related]
14. Supervised feature learning for curvilinear structure segmentation.
Becker C; Rigamonti R; Lepetit V; Fua P
Med Image Comput Comput Assist Interv; 2013; 16(Pt 1):526-33. PubMed ID: 24505707
[TBL] [Abstract][Full Text] [Related]
15. A generalized level set formulation of the Mumford-Shah functional for brain MR image segmentation.
Cheng L; Yang J; Fan X; Zhu Y
Inf Process Med Imaging; 2005; 19():418-30. PubMed ID: 17354714
[TBL] [Abstract][Full Text] [Related]
16. Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.
Lian C; Zhang J; Liu M; Zong X; Hung SC; Lin W; Shen D
Med Image Anal; 2018 May; 46():106-117. PubMed ID: 29518675
[TBL] [Abstract][Full Text] [Related]
17. Finding a Path for Segmentation Through Sequential Learning.
Wang H; Cao Y; Syed-Mahmood TF
Inf Process Med Imaging; 2015; 24():488-500. PubMed ID: 26221697
[TBL] [Abstract][Full Text] [Related]
18. MR image segmentation using phase information and a novel multiscale scheme.
Bourgeat P; Fripp J; Stanwell P; Ramadan S; Ourselin S
Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):920-7. PubMed ID: 17354861
[TBL] [Abstract][Full Text] [Related]
19. A medical texture local binary pattern for TRUS prostate segmentation.
Kachouie NN; Fieguth P
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5605-8. PubMed ID: 18003283
[TBL] [Abstract][Full Text] [Related]
20. Stable Atlas-based Mapped Prior (STAMP) machine-learning segmentation for multicenter large-scale MRI data.
Kim EY; Magnotta VA; Liu D; Johnson HJ
Magn Reson Imaging; 2014 Sep; 32(7):832-44. PubMed ID: 24818817
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
