157 related articles for article (PubMed ID: 29364118)
1. Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation.
Huo Y; Liu J; Xu Z; Harrigan RL; Assad A; Abramson RG; Landman BA
IEEE Trans Biomed Eng; 2018 Feb; 65(2):336-343. PubMed ID: 29364118
[TBL] [Abstract][Full Text] [Related]
2. Multi-atlas Segmentation Enables Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly.
Huo Y; Liu J; Xu Z; Harrigan RL; Assad A; Abramson RG; Landman BA
Proc SPIE Int Soc Opt Eng; 2017 Feb; 10133():. PubMed ID: 28649156
[TBL] [Abstract][Full Text] [Related]
3. Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.
Huo Y; Xu Z; Bao S; Bermudez C; Moon H; Parvathaneni P; Moyo TK; Savona MR; Assad A; Abramson RG; Landman BA
IEEE Trans Med Imaging; 2019 May; 38(5):1185-1196. PubMed ID: 30442602
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Improving Spleen Volume Estimation Via Computer-assisted Segmentation on Clinically Acquired CT Scans.
Xu Z; Gertz AL; Burke RP; Bansal N; Kang H; Landman BA; Abramson RG
Acad Radiol; 2016 Oct; 23(10):1214-20. PubMed ID: 27519156
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning.
Xu Z; Burke RP; Lee CP; Baucom RB; Poulose BK; Abramson RG; Landman BA
Med Image Anal; 2015 Aug; 24(1):18-27. PubMed ID: 26046403
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Hyperpolarized 3He magnetic resonance functional imaging semiautomated segmentation.
Kirby M; Heydarian M; Svenningsen S; Wheatley A; McCormack DG; Etemad-Rezai R; Parraga G
Acad Radiol; 2012 Feb; 19(2):141-52. PubMed ID: 22104288
[TBL] [Abstract][Full Text] [Related]
10. Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI-guided radiation planning in the pelvic region.
Arabi H; Dowling JA; Burgos N; Han X; Greer PB; Koutsouvelis N; Zaidi H
Med Phys; 2018 Nov; 45(11):5218-5233. PubMed ID: 30216462
[TBL] [Abstract][Full Text] [Related]
11. Multi-atlas-based fully automatic segmentation of individual muscles in rat leg.
Sdika M; Tonson A; Le Fur Y; Cozzone PJ; Bendahan D
MAGMA; 2016 Apr; 29(2):223-35. PubMed ID: 26646521
[TBL] [Abstract][Full Text] [Related]
12. Segmentation of liver and spleen based on computational anatomy models.
Dong C; Chen YW; Foruzan AH; Lin L; Han XH; Tateyama T; Wu X; Xu G; Jiang H
Comput Biol Med; 2015 Dec; 67():146-60. PubMed ID: 26551453
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Fully automated prostate segmentation on MRI: comparison with manual segmentation methods and specimen volumes.
Turkbey B; Fotin SV; Huang RJ; Yin Y; Daar D; Aras O; Bernardo M; Garvey BE; Weaver J; Haldankar H; Muradyan N; Merino MJ; Pinto PA; Periaswamy S; Choyke PL
AJR Am J Roentgenol; 2013 Nov; 201(5):W720-9. PubMed ID: 24147502
[TBL] [Abstract][Full Text] [Related]
15. Robust Estimation of Electron Density From Anatomic Magnetic Resonance Imaging of the Brain Using a Unifying Multi-Atlas Approach.
Ren S; Hara W; Wang L; Buyyounouski MK; Le QT; Xing L; Li R
Int J Radiat Oncol Biol Phys; 2017 Mar; 97(4):849-857. PubMed ID: 28244422
[TBL] [Abstract][Full Text] [Related]
16. Assessing splenomegaly: automated volumetric analysis of the spleen.
Linguraru MG; Sandberg JK; Jones EC; Summers RM
Acad Radiol; 2013 Jun; 20(6):675-84. PubMed ID: 23535191
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Whole-body bone segmentation from MRI for PET/MRI attenuation correction using shape-based averaging.
Arabi H; Zaidi H
Med Phys; 2016 Nov; 43(11):5848. PubMed ID: 27806602
[TBL] [Abstract][Full Text] [Related]
19. Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information.
Klein S; van der Heide UA; Lips IM; van Vulpen M; Staring M; Pluim JP
Med Phys; 2008 Apr; 35(4):1407-17. PubMed ID: 18491536
[TBL] [Abstract][Full Text] [Related]
20. Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks.
Huo Y; Xu Z; Bao S; Bermudez C; Plassard AJ; Liu J; Yao Y; Assad A; Abramson RG; Landman BA
Proc SPIE Int Soc Opt Eng; 2018 Mar; 10574():. PubMed ID: 29887666
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
