370 related articles for article (PubMed ID: 24001931)
1. A unified framework for cross-modality multi-atlas segmentation of brain MRI.
Eugenio Iglesias J; Rory Sabuncu M; Van Leemput K
Med Image Anal; 2013 Dec; 17(8):1181-91. PubMed ID: 24001931
[TBL] [Abstract][Full Text] [Related]
2. A probabilistic, non-parametric framework for inter-modality label fusion.
Iglesias JE; Sabuncu MR; Van Leemput K
Med Image Comput Comput Assist Interv; 2013; 16(Pt 3):576-83. PubMed ID: 24505808
[TBL] [Abstract][Full Text] [Related]
3. A generative model for image segmentation based on label fusion.
Sabuncu MR; Yeo BT; Van Leemput K; Fischl B; Golland P
IEEE Trans Med Imaging; 2010 Oct; 29(10):1714-29. PubMed ID: 20562040
[TBL] [Abstract][Full Text] [Related]
4. Encoding atlases by randomized classification forests for efficient multi-atlas label propagation.
Zikic D; Glocker B; Criminisi A
Med Image Anal; 2014 Dec; 18(8):1262-73. PubMed ID: 25042602
[TBL] [Abstract][Full Text] [Related]
5. Non-local statistical label fusion for multi-atlas segmentation.
Asman AJ; Landman BA
Med Image Anal; 2013 Feb; 17(2):194-208. PubMed ID: 23265798
[TBL] [Abstract][Full Text] [Related]
6. Multi-atlas segmentation with robust label transfer and label fusion.
Wang H; Pouch A; Takabe M; Jackson B; Gorman J; Gorman R; Yushkevich PA
Inf Process Med Imaging; 2013; 23():548-59. PubMed ID: 24683998
[TBL] [Abstract][Full Text] [Related]
7. Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI.
Zhuang X; Shen J
Med Image Anal; 2016 Jul; 31():77-87. PubMed ID: 26999615
[TBL] [Abstract][Full Text] [Related]
8. Effects of registration regularization and atlas sharpness on segmentation accuracy.
Yeo BT; Sabuncu MR; Desikan R; Fischl B; Golland P
Med Image Anal; 2008 Oct; 12(5):603-15. PubMed ID: 18667352
[TBL] [Abstract][Full Text] [Related]
9. Multi-atlas learner fusion: An efficient segmentation approach for large-scale data.
Asman AJ; Huo Y; Plassard AJ; Landman BA
Med Image Anal; 2015 Dec; 26(1):82-91. PubMed ID: 26363845
[TBL] [Abstract][Full Text] [Related]
10. Adaptive local multi-atlas segmentation: application to the heart and the caudate nucleus.
van Rikxoort EM; Isgum I; Arzhaeva Y; Staring M; Klein S; Viergever MA; Pluim JP; van Ginneken B
Med Image Anal; 2010 Feb; 14(1):39-49. PubMed ID: 19897403
[TBL] [Abstract][Full Text] [Related]
11. Robust brain registration using adaptive probabilistic atlas.
Ide J; Chen R; Shen D; Herskovits EH
Med Image Comput Comput Assist Interv; 2008; 11(Pt 2):1041-9. PubMed ID: 18982707
[TBL] [Abstract][Full Text] [Related]
12. Multi-atlas segmentation without registration: a supervoxel-based approach.
Wang H; Yushkevich PA
Med Image Comput Comput Assist Interv; 2013; 16(Pt 3):535-42. PubMed ID: 24505803
[TBL] [Abstract][Full Text] [Related]
13. A transversal approach for patch-based label fusion via matrix completion.
Sanroma G; Wu G; Gao Y; Thung KH; Guo Y; Shen D
Med Image Anal; 2015 Aug; 24(1):135-148. PubMed ID: 26160394
[TBL] [Abstract][Full Text] [Related]
14. Characterizing spatially varying performance to improve multi-atlas multi-label segmentation.
Asman AJ; Landman BA
Inf Process Med Imaging; 2011; 22():85-96. PubMed ID: 21761648
[TBL] [Abstract][Full Text] [Related]
15. A GENERATIVE MODEL FOR MULTI-ATLAS SEGMENTATION ACROSS MODALITIES.
Iglesias JE; Sabuncu MR; Van Leemput K
Proc IEEE Int Symp Biomed Imaging; 2012; ():888-891. PubMed ID: 23568278
[TBL] [Abstract][Full Text] [Related]
16. Optimal weights for multi-atlas label fusion.
Wang H; Suh JW; Pluta J; Altinay M; Yushkevich P
Inf Process Med Imaging; 2011; 22():73-84. PubMed ID: 21761647
[TBL] [Abstract][Full Text] [Related]
17. Atlas encoding by randomized forests for efficient label propagation.
Zikic D; Glocker B; Criminisi A
Med Image Comput Comput Assist Interv; 2013; 16(Pt 3):66-73. PubMed ID: 24505745
[TBL] [Abstract][Full Text] [Related]
18. Groupwise segmentation with multi-atlas joint label fusion.
Wang H; Yushkevich PA
Med Image Comput Comput Assist Interv; 2013; 16(Pt 1):711-8. PubMed ID: 24505730
[TBL] [Abstract][Full Text] [Related]
19. Expectation maximization strategies for multi-atlas multi-label segmentation.
Rohlfing T; Russakoff DB; Maurer CR
Inf Process Med Imaging; 2003 Jul; 18():210-21. PubMed ID: 15344459
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]