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.
4. High-order Feature Learning for Multi-atlas based Label Fusion: Application to Brain Segmentation with MRI. Sun L; Shao W; Wang M; Zhang D; Liu M IEEE Trans Image Process; 2019 Nov; ():. PubMed ID: 31725379 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Brain structure segmentation in the presence of multiple sclerosis lesions. González-Villà S; Oliver A; Huo Y; Lladó X; Landman BA Neuroimage Clin; 2019; 22():101709. PubMed ID: 30822719 [TBL] [Abstract][Full Text] [Related]
8. Confidence-guided sequential label fusion for multi-atlas based segmentation. Zhang D; Wu G; Jia H; Shen D Med Image Comput Comput Assist Interv; 2011; 14(Pt 3):643-50. PubMed ID: 22003754 [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. Multi-atlas segmentation with augmented features for cardiac MR images. Bai W; Shi W; Ledig C; Rueckert D Med Image Anal; 2015 Jan; 19(1):98-109. PubMed ID: 25299433 [TBL] [Abstract][Full Text] [Related]
12. A robust discriminative multi-atlas label fusion method for hippocampus segmentation from MR image. Wang W; Zhang X; Ma Y; Cui H; Xia R; Zhang Y Comput Methods Programs Biomed; 2021 Sep; 208():106197. PubMed ID: 34102562 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. Progressive multi-atlas label fusion by dictionary evolution. Song Y; Wu G; Bahrami K; Sun Q; Shen D Med Image Anal; 2017 Feb; 36():162-171. PubMed ID: 27914302 [TBL] [Abstract][Full Text] [Related]
15. MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation. Sun L; Fu Y; Zhao J; Shao W; Zhu Q; Zhang D IEEE Trans Image Process; 2024; 33():4319-4333. PubMed ID: 39052457 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Multi-Atlas Based Methods in Brain MR Image Segmentation. Sun L; Zhang L; Zhang DQ Chin Med Sci J; 2019 Jun; 34(2):110-119. PubMed ID: 31315752 [TBL] [Abstract][Full Text] [Related]
18. Multi-Atlas and Multi-Modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph. Dong P; Guo Y; Shen D; Wu G Patch Based Tech Med Imaging (2015); 2015; 9467():188-196. PubMed ID: 30335869 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. Supervoxel based method for multi-atlas segmentation of brain MR images. Huo J; Wu J; Cao J; Wang G Neuroimage; 2018 Jul; 175():201-214. PubMed ID: 29625235 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]