These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
358 related articles for article (PubMed ID: 24151008)
1. Local label learning (LLL) for subcortical structure segmentation: application to hippocampus segmentation. Hao Y; Wang T; Zhang X; Duan Y; Yu C; Jiang T; Fan Y; Hum Brain Mapp; 2014 Jun; 35(6):2674-97. PubMed ID: 24151008 [TBL] [Abstract][Full Text] [Related]
2. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates. Pipitone J; Park MT; Winterburn J; Lett TA; Lerch JP; Pruessner JC; Lepage M; Voineskos AN; Chakravarty MM; Neuroimage; 2014 Nov; 101():494-512. PubMed ID: 24784800 [TBL] [Abstract][Full Text] [Related]
3. Patch-Based Label Fusion with Structured Discriminant Embedding for Hippocampus Segmentation. Wang Y; Ma G; Wu X; Zhou J Neuroinformatics; 2018 Oct; 16(3-4):411-423. PubMed ID: 29512026 [TBL] [Abstract][Full Text] [Related]
4. Multi-atlas label fusion with random local binary pattern features: Application to hippocampus segmentation. Zhu H; Tang Z; Cheng H; Wu Y; Fan Y Sci Rep; 2019 Nov; 9(1):16839. PubMed ID: 31727982 [TBL] [Abstract][Full Text] [Related]
5. Metric Learning for Multi-atlas based Segmentation of Hippocampus. Zhu H; Cheng H; Yang X; Fan Y; Neuroinformatics; 2017 Jan; 15(1):41-50. PubMed ID: 27638650 [TBL] [Abstract][Full Text] [Related]
6. Local manifold learning for multiatlas segmentation: application to hippocampal segmentation in healthy population and Alzheimer's disease. Li XW; Li QL; Li SY; Li DY; CNS Neurosci Ther; 2015 Oct; 21(10):826-36. PubMed ID: 26122409 [TBL] [Abstract][Full Text] [Related]
7. View-centralized multi-atlas classification for Alzheimer's disease diagnosis. Liu M; Zhang D; Shen D; Hum Brain Mapp; 2015 May; 36(5):1847-65. PubMed ID: 25624081 [TBL] [Abstract][Full Text] [Related]
8. A label fusion method using conditional random fields with higher-order potentials: Application to hippocampal segmentation. Platero C; Carmen Tobar M Artif Intell Med; 2015 Jun; 64(2):117-29. PubMed ID: 25982908 [TBL] [Abstract][Full Text] [Related]
9. A learning-based wrapper method to correct systematic errors in automatic image segmentation: consistently improved performance in hippocampus, cortex and brain segmentation. Wang H; Das SR; Suh JW; Altinay M; Pluta J; Craige C; Avants B; Yushkevich PA; Neuroimage; 2011 Apr; 55(3):968-85. PubMed ID: 21237273 [TBL] [Abstract][Full Text] [Related]
11. Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition. Wu G; Kim M; Sanroma G; Wang Q; Munsell BC; Shen D; Neuroimage; 2015 Feb; 106():34-46. PubMed ID: 25463474 [TBL] [Abstract][Full Text] [Related]
12. Automated segmentation of mouse brain images using multi-atlas multi-ROI deformation and label fusion. Nie J; Shen D Neuroinformatics; 2013 Jan; 11(1):35-45. PubMed ID: 23055043 [TBL] [Abstract][Full Text] [Related]
13. A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI. Iglesias JE; Augustinack JC; Nguyen K; Player CM; Player A; Wright M; Roy N; Frosch MP; McKee AC; Wald LL; Fischl B; Van Leemput K; Neuroimage; 2015 Jul; 115():117-37. PubMed ID: 25936807 [TBL] [Abstract][Full Text] [Related]
14. Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Sun L; Zu C; Shao W; Guang J; Zhang D; Liu M Artif Intell Med; 2019 May; 96():12-24. PubMed ID: 31164205 [TBL] [Abstract][Full Text] [Related]
15. STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation. Jorge Cardoso M; Leung K; Modat M; Keihaninejad S; Cash D; Barnes J; Fox NC; Ourselin S; Med Image Anal; 2013 Aug; 17(6):671-84. PubMed ID: 23510558 [TBL] [Abstract][Full Text] [Related]
16. FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation. Zhu H; Adeli E; Shi F; Shen D; Neuroinformatics; 2020 Apr; 18(2):319-331. PubMed ID: 31898145 [TBL] [Abstract][Full Text] [Related]
17. Patch spaces and fusion strategies in patch-based label fusion. Benkarim OM; Piella G; Hahner N; Eixarch E; González Ballester MA; Sanroma G Comput Med Imaging Graph; 2019 Jan; 71():79-89. PubMed ID: 30553173 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection. Doshi J; Erus G; Ou Y; Resnick SM; Gur RC; Gur RE; Satterthwaite TD; Furth S; Davatzikos C; Neuroimage; 2016 Feb; 127():186-195. PubMed ID: 26679328 [TBL] [Abstract][Full Text] [Related]
20. Using manifold learning for atlas selection in multi-atlas segmentation. Hoang Duc AK; Modat M; Leung KK; Cardoso MJ; Barnes J; Kadir T; Ourselin S; PLoS One; 2013; 8(8):e70059. PubMed ID: 23936376 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]