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 *

191 related articles for article (PubMed ID: 24951681)

  • 1. A logarithmic opinion pool based STAPLE algorithm for the fusion of segmentations with associated reliability weights.
    Akhondi-Asl A; Hoyte L; Lockhart ME; Warfield SK
    IEEE Trans Med Imaging; 2014 Oct; 33(10):1997-2009. PubMed ID: 24951681
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Simultaneous truth and performance level estimation through fusion of probabilistic segmentations.
    Akhondi-Asl A; Warfield SK
    IEEE Trans Med Imaging; 2013 Oct; 32(10):1840-52. PubMed ID: 23744673
    [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. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation.
    Warfield SK; Zou KH; Wells WM
    IEEE Trans Med Imaging; 2004 Jul; 23(7):903-21. PubMed ID: 15250643
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimation of inferential uncertainty in assessing expert segmentation performance from STAPLE.
    Commowick O; Warfield SK
    IEEE Trans Med Imaging; 2010 Mar; 29(3):771-80. PubMed ID: 20199913
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Segmentations of MRI images of the female pelvic floor: a study of inter- and intra-reader reliability.
    Hoyte L; Ye W; Brubaker L; Fielding JR; Lockhart ME; Heilbrun ME; Brown MB; Warfield SK;
    J Magn Reson Imaging; 2011 Mar; 33(3):684-91. PubMed ID: 21563253
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated segmentation and measurement of the female pelvic floor from the mid-sagittal plane of 3D ultrasound volumes.
    Szentimrey Z; Ameri G; Hong CX; Cheung RYK; Ukwatta E; Eltahawi A
    Med Phys; 2023 Oct; 50(10):6215-6227. PubMed ID: 36964964
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation.
    Jorge Cardoso M; Leung K; Modat M; Keihaninejad S; Cash D; Barnes J; Fox NC; Ourselin S;
    Med Image Anal; 2013 Aug; 17(6):671-84. PubMed ID: 23510558
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Estimating a reference standard segmentation with spatially varying performance parameters: local MAP STAPLE.
    Commowick O; Akhondi-Asl A; Warfield SK
    IEEE Trans Med Imaging; 2012 Aug; 31(8):1593-606. PubMed ID: 22562727
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Self-assessed performance improves statistical fusion of image labels.
    Bryan FW; Xu Z; Asman AJ; Allen WM; Reich DS; Landman BA
    Med Phys; 2014 Mar; 41(3):031903. PubMed ID: 24593721
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Incorporating priors on expert performance parameters for segmentation validation and label fusion: a maximum a posteriori STAPLE.
    Commowick O; Warfield SK
    Med Image Comput Comput Assist Interv; 2010; 13(Pt 3):25-32. PubMed ID: 20879379
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Optimal MAP Parameters Estimation in STAPLE Using Local Intensity Similarity Information.
    Gorthi S; Akhondi-Asl A; Warfield SK
    IEEE J Biomed Health Inform; 2015 Sep; 19(5):1589-97. PubMed ID: 25955854
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging.
    Shahedi M; Cool DW; Bauman GS; Bastian-Jordan M; Fenster A; Ward AD
    J Digit Imaging; 2017 Dec; 30(6):782-795. PubMed ID: 28342043
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Segmentation of malignant gliomas through remote collaboration and statistical fusion.
    Xu Z; Asman AJ; Singh E; Chambless L; Thompson R; Landman BA
    Med Phys; 2012 Oct; 39(10):5981-9. PubMed ID: 23039636
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-eXpert fusion: An ensemble learning framework to segment 3D TRUS prostate images.
    Beitone C; Troccaz J
    Med Phys; 2022 Aug; 49(8):5138-5148. PubMed ID: 35443086
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimation of inferential uncertainty in assessing expert segmentation performance from STAPLE.
    Commowick O; Warfield SK
    Inf Process Med Imaging; 2009; 21():701-12. PubMed ID: 19694305
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic segmentation of the hippocampus for preterm neonates from early-in-life to term-equivalent age.
    Guo T; Winterburn JL; Pipitone J; Duerden EG; Park MT; Chau V; Poskitt KJ; Grunau RE; Synnes A; Miller SP; Mallar Chakravarty M
    Neuroimage Clin; 2015; 9():176-93. PubMed ID: 26740912
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Spinal Cord Segmentation by One Dimensional Normalized Template Matching: A Novel, Quantitative Technique to Analyze Advanced Magnetic Resonance Imaging Data.
    Cadotte A; Cadotte DW; Livne M; Cohen-Adad J; Fleet D; Mikulis D; Fehlings MG
    PLoS One; 2015; 10(10):e0139323. PubMed ID: 26445367
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus.
    Lesjak Ž; Galimzianova A; Koren A; Lukin M; Pernuš F; Likar B; Špiclin Ž
    Neuroinformatics; 2018 Jan; 16(1):51-63. PubMed ID: 29103086
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.