829 related articles for article (PubMed ID: 28472943)
1. Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.
Sauwen N; Acou M; Sima DM; Veraart J; Maes F; Himmelreich U; Achten E; Huffel SV
BMC Med Imaging; 2017 May; 17(1):29. PubMed ID: 28472943
[TBL] [Abstract][Full Text] [Related]
2. Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI.
Sauwen N; Acou M; Van Cauter S; Sima DM; Veraart J; Maes F; Himmelreich U; Achten E; Van Huffel S
Neuroimage Clin; 2016; 12():753-764. PubMed ID: 27812502
[TBL] [Abstract][Full Text] [Related]
3. Hierarchical non-negative matrix factorization to characterize brain tumor heterogeneity using multi-parametric MRI.
Sauwen N; Sima DM; Van Cauter S; Veraart J; Leemans A; Maes F; Himmelreich U; Van Huffel S
NMR Biomed; 2015 Dec; 28(12):1599-624. PubMed ID: 26458729
[TBL] [Abstract][Full Text] [Related]
4. Automated Robust Image Segmentation: Level Set Method Using Nonnegative Matrix Factorization with Application to Brain MRI.
Dera D; Bouaynaya N; Fathallah-Shaykh HM
Bull Math Biol; 2016 Jul; 78(7):1450-76. PubMed ID: 27417984
[TBL] [Abstract][Full Text] [Related]
5. A discriminative model-constrained graph cuts approach to fully automated pediatric brain tumor segmentation in 3-D MRI.
Wels M; Carneiro G; Aplas A; Huber M; Hornegger J; Comaniciu D
Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):67-75. PubMed ID: 18979733
[TBL] [Abstract][Full Text] [Related]
6. Semi-automatic brain tumor segmentation by constrained MRFs using structural trajectories.
Zhao L; Wu W; Corso JJ
Med Image Comput Comput Assist Interv; 2013; 16(Pt 3):567-75. PubMed ID: 24505807
[TBL] [Abstract][Full Text] [Related]
7. Multi-parametric (ADC/PWI/T2-w) image fusion approach for accurate semi-automatic segmentation of tumorous regions in glioblastoma multiforme.
Fathi Kazerooni A; Mohseni M; Rezaei S; Bakhshandehpour G; Saligheh Rad H
MAGMA; 2015 Feb; 28(1):13-22. PubMed ID: 24691860
[TBL] [Abstract][Full Text] [Related]
8. Brain Tumor Segmentation Using Deep Belief Networks and Pathological Knowledge.
Zhan T; Chen Y; Hong X; Lu Z; Chen Y
CNS Neurol Disord Drug Targets; 2017; 16(2):129-136. PubMed ID: 28088902
[TBL] [Abstract][Full Text] [Related]
9. Non-model segmentation of brain glioma tissues with the combination of DWI and fMRI signals.
Lu M; Zhang X; Zhang M; Chen H; Dou W; Li S; Dai J
Biomed Mater Eng; 2015; 26 Suppl 1():S1315-24. PubMed ID: 26405892
[TBL] [Abstract][Full Text] [Related]
10. Machine learning based brain tumour segmentation on limited data using local texture and abnormality.
Bonte S; Goethals I; Van Holen R
Comput Biol Med; 2018 Jul; 98():39-47. PubMed ID: 29763764
[TBL] [Abstract][Full Text] [Related]
11. 3D multimodal MRI brain glioma tumor and edema segmentation: a graph cut distribution matching approach.
Njeh I; Sallemi L; Ayed IB; Chtourou K; Lehericy S; Galanaud D; Hamida AB
Comput Med Imaging Graph; 2015 Mar; 40():108-19. PubMed ID: 25467804
[TBL] [Abstract][Full Text] [Related]
12. Imaging biomarker analysis of advanced multiparametric MRI for glioma grading.
Vamvakas A; Williams SC; Theodorou K; Kapsalaki E; Fountas K; Kappas C; Vassiou K; Tsougos I
Phys Med; 2019 Apr; 60():188-198. PubMed ID: 30910431
[TBL] [Abstract][Full Text] [Related]
13. Joint tumor segmentation and dense deformable registration of brain MR images.
Parisot S; Duffau H; Chemouny S; Paragios N
Med Image Comput Comput Assist Interv; 2012; 15(Pt 2):651-8. PubMed ID: 23286104
[TBL] [Abstract][Full Text] [Related]
14. The successive projection algorithm as an initialization method for brain tumor segmentation using non-negative matrix factorization.
Sauwen N; Acou M; Bharath HN; Sima DM; Veraart J; Maes F; Himmelreich U; Achten E; Van Huffel S
PLoS One; 2017; 12(8):e0180268. PubMed ID: 28846686
[TBL] [Abstract][Full Text] [Related]
15. Volume measurements of individual muscles in human quadriceps femoris using atlas-based segmentation approaches.
Le Troter A; Fouré A; Guye M; Confort-Gouny S; Mattei JP; Gondin J; Salort-Campana E; Bendahan D
MAGMA; 2016 Apr; 29(2):245-57. PubMed ID: 26983429
[TBL] [Abstract][Full Text] [Related]
16. Reliability of Semi-Automated Segmentations in Glioblastoma.
Huber T; Alber G; Bette S; Boeckh-Behrens T; Gempt J; Ringel F; Alberts E; Zimmer C; Bauer JS
Clin Neuroradiol; 2017 Jun; 27(2):153-161. PubMed ID: 26490369
[TBL] [Abstract][Full Text] [Related]
17. Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MR.
Zikic D; Glocker B; Konukoglu E; Criminisi A; Demiralp C; Shotton J; Thomas OM; Das T; Jena R; Price SJ
Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):369-76. PubMed ID: 23286152
[TBL] [Abstract][Full Text] [Related]
18. Glioma grading using apparent diffusion coefficient map: application of histogram analysis based on automatic segmentation.
Lee J; Choi SH; Kim JH; Sohn CH; Lee S; Jeong J
NMR Biomed; 2014 Sep; 27(9):1046-52. PubMed ID: 25042540
[TBL] [Abstract][Full Text] [Related]
19. Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
Pereira S; Pinto A; Alves V; Silva CA
IEEE Trans Med Imaging; 2016 May; 35(5):1240-1251. PubMed ID: 26960222
[TBL] [Abstract][Full Text] [Related]
20. Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains.
Bricq S; Collet Ch; Armspach JP
Med Image Anal; 2008 Dec; 12(6):639-52. PubMed ID: 18440268
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
