645 related articles for article (PubMed ID: 10767588)
1. Multi-level adaptive segmentation of multi-parameter MR brain images.
Zavaljevski A; Dhawan AP; Gaskil M; Ball W; Johnson JD
Comput Med Imaging Graph; 2000; 24(2):87-98. PubMed ID: 10767588
[TBL] [Abstract][Full Text] [Related]
2. A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field.
Chen M; Yan Q; Qin M
Comput Assist Surg (Abingdon); 2017 Dec; 22(sup1):200-211. PubMed ID: 29072503
[TBL] [Abstract][Full Text] [Related]
3. Improving tissue classification in MRI: a three-dimensional multispectral discriminant analysis method with automated training class selection.
Harris G; Andreasen NC; Cizadlo T; Bailey JM; Bockholt HJ; Magnotta VA; Arndt S
J Comput Assist Tomogr; 1999; 23(1):144-54. PubMed ID: 10050826
[TBL] [Abstract][Full Text] [Related]
4. Automatic segmentation of eight tissue classes in neonatal brain MRI.
Anbeek P; Išgum I; van Kooij BJ; Mol CP; Kersbergen KJ; Groenendaal F; Viergever MA; de Vries LS; Benders MJ
PLoS One; 2013; 8(12):e81895. PubMed ID: 24358132
[TBL] [Abstract][Full Text] [Related]
5. LINKS: learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images.
Wang L; Gao Y; Shi F; Li G; Gilmore JH; Lin W; Shen D
Neuroimage; 2015 Mar; 108():160-72. PubMed ID: 25541188
[TBL] [Abstract][Full Text] [Related]
6. Classification of anatomical structures in MR brain images using fuzzy parameters.
Algorri ME; Flores-Mangas F
IEEE Trans Biomed Eng; 2004 Sep; 51(9):1599-608. PubMed ID: 15376508
[TBL] [Abstract][Full Text] [Related]
7. Automatic segmentation of white matter lesions on magnetic resonance images of the brain by using an outlier detection strategy.
Wang R; Li C; Wang J; Wei X; Li Y; Hui C; Zhu Y; Zhang S
Magn Reson Imaging; 2014 Dec; 32(10):1321-9. PubMed ID: 25131627
[TBL] [Abstract][Full Text] [Related]
8. A robust method for extraction and automatic segmentation of brain images.
Kovacevic N; Lobaugh NJ; Bronskill MJ; Levine B; Feinstein A; Black SE
Neuroimage; 2002 Nov; 17(3):1087-100. PubMed ID: 12414252
[TBL] [Abstract][Full Text] [Related]
9. Adaptive neonate brain segmentation.
Cardoso MJ; Melbourne A; Kendall GS; Modat M; Hagmann CF; Robertson NJ; Marlow N; Ourselin S
Med Image Comput Comput Assist Interv; 2011; 14(Pt 3):378-86. PubMed ID: 22003722
[TBL] [Abstract][Full Text] [Related]
10. Rough Sets and Stomped Normal Distribution for Simultaneous Segmentation and Bias Field Correction in Brain MR Images.
Banerjee A; Maji P
IEEE Trans Image Process; 2015 Dec; 24(12):5764-76. PubMed ID: 26462197
[TBL] [Abstract][Full Text] [Related]
11. Automatic segmentation of magnetic resonance images using a decision tree with spatial information.
Chao WH; Chen YY; Lin SH; Shih YY; Tsang S
Comput Med Imaging Graph; 2009 Mar; 33(2):111-21. PubMed ID: 19097854
[TBL] [Abstract][Full Text] [Related]
12. Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field.
Nie J; Xue Z; Liu T; Young GS; Setayesh K; Guo L; Wong ST
Comput Med Imaging Graph; 2009 Sep; 33(6):431-41. PubMed ID: 19446435
[TBL] [Abstract][Full Text] [Related]
13. MR tissue characterization of intracranial tumors by means of texture analysis.
Schad LR; Blüml S; Zuna I
Magn Reson Imaging; 1993; 11(6):889-96. PubMed ID: 8371644
[TBL] [Abstract][Full Text] [Related]
14. A vessel segmentation method for multi-modality angiographic images based on multi-scale filtering and statistical models.
Lu P; Xia J; Li Z; Xiong J; Yang J; Zhou S; Wang L; Chen M; Wang C
Biomed Eng Online; 2016 Nov; 15(1):120. PubMed ID: 27825346
[TBL] [Abstract][Full Text] [Related]
15. Automatic white matter lesion segmentation using contrast enhanced FLAIR intensity and Markov Random Field.
Roy PK; Bhuiyan A; Janke A; Desmond PM; Wong TY; Abhayaratna WP; Storey E; Ramamohanarao K
Comput Med Imaging Graph; 2015 Oct; 45():102-11. PubMed ID: 26398564
[TBL] [Abstract][Full Text] [Related]
16. An automated registration algorithm for measuring MRI subcortical brain structures.
Iosifescu DV; Shenton ME; Warfield SK; Kikinis R; Dengler J; Jolesz FA; McCarley RW
Neuroimage; 1997 Jul; 6(1):13-25. PubMed ID: 9245652
[TBL] [Abstract][Full Text] [Related]
17. Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields.
Pereira S; Pinto A; Oliveira J; Mendrik AM; Correia JH; Silva CA
J Neurosci Methods; 2016 Sep; 270():111-123. PubMed ID: 27329005
[TBL] [Abstract][Full Text] [Related]
18. A Unified Framework for Brain Segmentation in MR Images.
Yazdani S; Yusof R; Karimian A; Riazi AH; Bennamoun M
Comput Math Methods Med; 2015; 2015():829893. PubMed ID: 26089978
[TBL] [Abstract][Full Text] [Related]
19. Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification.
Vrooman HA; Cocosco CA; van der Lijn F; Stokking R; Ikram MA; Vernooij MW; Breteler MM; Niessen WJ
Neuroimage; 2007 Aug; 37(1):71-81. PubMed ID: 17572111
[TBL] [Abstract][Full Text] [Related]
20. Statistical approach to segmentation of single-channel cerebral MR images.
Rajapakse JC; Giedd JN; Rapoport JL
IEEE Trans Med Imaging; 1997 Apr; 16(2):176-86. PubMed ID: 9101327
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
