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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

123 related articles for article (PubMed ID: 31788155)

  • 1. Accurate segmentation of brain images into 34 structures combining a non-stationary adaptive statistical atlas and a multi-atlas with applications to Alzheimer's disease.
    Yan Z; Zhang S; Liu X; Metaxas DN; Montillo A;
    Proc IEEE Int Symp Biomed Imaging; 2013 Apr; 2013():1202-1205. PubMed ID: 31788155
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas.
    Yan Z; Zhang S; Liu X; Metaxas DN; Montillo A;
    Med Comput Vis (2013); 2014; 8331():65-73. PubMed ID: 31723945
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Manual-Protocol Inspired Technique for Improving Automated MR Image Segmentation during Label Fusion.
    Bhagwat N; Pipitone J; Winterburn JL; Guo T; Duerden EG; Voineskos AN; Lepage M; Miller SP; Pruessner JC; Chakravarty MM
    Front Neurosci; 2016; 10():325. PubMed ID: 27486386
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An adaptive probabilistic atlas for anomalous brain segmentation in MR images.
    Martins SB; Bragantini J; Falcão AX; Yasuda CL
    Med Phys; 2019 Nov; 46(11):4940-4950. PubMed ID: 31423590
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Performing label-fusion-based segmentation using multiple automatically generated templates.
    Chakravarty MM; Steadman P; van Eede MC; Calcott RD; Gu V; Shaw P; Raznahan A; Collins DL; Lerch JP
    Hum Brain Mapp; 2013 Oct; 34(10):2635-54. PubMed ID: 22611030
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-Object Model-based Multi-Atlas Segmentation for Rodent Brains using Dense Discrete Correspondences.
    Lee J; Kim SH; Styner M
    Proc SPIE Int Soc Opt Eng; 2016 Feb; 9784():. PubMed ID: 27065200
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Automatic macaque brain segmentation based on 7T MRI.
    Zhao J; Chen W; Liu C; Gao Y; Chen X; Chen G; Xia L; Dai Y; Zhang X
    Magn Reson Imaging; 2022 Oct; 92():232-242. PubMed ID: 35842194
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Discriminative confidence estimation for probabilistic multi-atlas label fusion.
    Benkarim OM; Piella G; González Ballester MA; Sanroma G;
    Med Image Anal; 2017 Dec; 42():274-287. PubMed ID: 28888171
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Low-complexity atlas-based prostate segmentation by combining global, regional, and local metrics.
    Xie Q; Ruan D
    Med Phys; 2014 Apr; 41(4):041909. PubMed ID: 24694140
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Robust whole-brain segmentation: application to traumatic brain injury.
    Ledig C; Heckemann RA; Hammers A; Lopez JC; Newcombe VF; Makropoulos A; Lötjönen J; Menon DK; Rueckert D
    Med Image Anal; 2015 Apr; 21(1):40-58. PubMed ID: 25596765
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Label fusion method combining pixel greyscale probability for brain MR segmentation.
    Wang M; Li P
    Sci Rep; 2019 Nov; 9(1):17987. PubMed ID: 31784630
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automated Multi-Atlas Segmentation of Hippocampal and Extrahippocampal Subregions in Alzheimer's Disease at 3T and 7T: What Atlas Composition Works Best?
    Xie L; Shinohara RT; Ittyerah R; Kuijf HJ; Pluta JB; Blom K; Kooistra M; Reijmer YD; Koek HL; Zwanenburg JJM; Wang H; Luijten PR; Geerlings MI; Das SR; Biessels GJ; Wolk DA; Yushkevich PA; Wisse LEM
    J Alzheimers Dis; 2018; 63(1):217-225. PubMed ID: 29614654
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricle atlas.
    Shao M; Carass A; Li X; Dewey BE; Blitz AM; Prince JL; Ellingsen LM
    Proc SPIE Int Soc Opt Eng; 2018 Feb; 10578():. PubMed ID: 34376903
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-atlas segmentation of subcortical brain structures via the AutoSeg software pipeline.
    Wang J; Vachet C; Rumple A; Gouttard S; Ouziel C; Perrot E; Du G; Huang X; Gerig G; Styner M
    Front Neuroinform; 2014; 8():7. PubMed ID: 24567717
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Superpixel and multi-atlas based fusion entropic model for the segmentation of X-ray images.
    Nguyen DCT; Benameur S; Mignotte M; Lavoie F
    Med Image Anal; 2018 Aug; 48():58-74. PubMed ID: 29852311
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic Segmentation of Corpus Callosum in Midsagittal Based on Bayesian Inference Consisting of Sparse Representation Error and Multi-Atlas Voting.
    Park G; Kwak K; Seo SW; Lee JM
    Front Neurosci; 2018; 12():629. PubMed ID: 30271320
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.