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 *

194 related articles for article (PubMed ID: 23684964)

  • 41. An information theoretic approach for non-rigid image registration using voxel class probabilities.
    D'Agostino E; Maes F; Vandermeulen D; Suetens P
    Med Image Anal; 2006 Jun; 10(3):413-31. PubMed ID: 15919230
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Feature Selection Based on Machine Learning in MRIs for Hippocampal Segmentation.
    Tangaro S; Amoroso N; Brescia M; Cavuoti S; Chincarini A; Errico R; Inglese P; Longo G; Maglietta R; Tateo A; Riccio G; Bellotti R
    Comput Math Methods Med; 2015; 2015():814104. PubMed ID: 26089977
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Incorporating parameter uncertainty in Bayesian segmentation models: application to hippocampal subfield volumetry.
    Iglesias JE; Sabuncu MR; Van Leemput K;
    Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):50-7. PubMed ID: 23286113
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scans.
    Freeborough PA; Fox NC; Kitney RI
    Comput Methods Programs Biomed; 1997 May; 53(1):15-25. PubMed ID: 9113464
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Combining a Patch-based Approach with a Non-rigid Registration-based Label Fusion Method for the Hippocampal Segmentation in Alzheimer's Disease.
    Platero C; Tobar MC
    Neuroinformatics; 2017 Apr; 15(2):165-183. PubMed ID: 28132187
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Fast and robust multi-atlas segmentation of brain magnetic resonance images.
    Lötjönen JM; Wolz R; Koikkalainen JR; Thurfjell L; Waldemar G; Soininen H; Rueckert D;
    Neuroimage; 2010 Feb; 49(3):2352-65. PubMed ID: 19857578
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Level Set Based Hippocampus Segmentation in MR Images with Improved Initialization Using Region Growing.
    Jiang X; Zhou Z; Ding X; Deng X; Zou L; Li B
    Comput Math Methods Med; 2017; 2017():5256346. PubMed ID: 28191031
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Manual segmentation qualification platform for the EADC-ADNI harmonized protocol for hippocampal segmentation project.
    Duchesne S; Valdivia F; Robitaille N; Mouiha A; Valdivia FA; Bocchetta M; Apostolova LG; Ganzola R; Preboske G; Wolf D; Boccardi M; Jack CR; Frisoni GB;
    Alzheimers Dement; 2015 Feb; 11(2):161-74. PubMed ID: 25617509
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Automated Segmentation of Cerebellum Using Brain Mask and Partial Volume Estimation Map.
    Lee DK; Yoon U; Kwak K; Lee JM
    Comput Math Methods Med; 2015; 2015():167489. PubMed ID: 26060504
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Automated liver segmentation from a postmortem CT scan based on a statistical shape model.
    Saito A; Yamamoto S; Nawano S; Shimizu A
    Int J Comput Assist Radiol Surg; 2017 Feb; 12(2):205-221. PubMed ID: 27659283
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Semi-automatic breast ultrasound image segmentation based on mean shift and graph cuts.
    Zhou Z; Wu W; Wu S; Tsui PH; Lin CC; Zhang L; Wang T
    Ultrason Imaging; 2014 Oct; 36(4):256-76. PubMed ID: 24759696
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Optimum template selection for atlas-based segmentation.
    Wu M; Rosano C; Lopez-Garcia P; Carter CS; Aizenstein HJ
    Neuroimage; 2007 Feb; 34(4):1612-8. PubMed ID: 17188896
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Prostate MRI segmentation using learned semantic knowledge and graph cuts.
    Mahapatra D; Buhmann JM
    IEEE Trans Biomed Eng; 2014 Mar; 61(3):756-64. PubMed ID: 24235297
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Automated histogram-based brain segmentation in T1-weighted three-dimensional magnetic resonance head images.
    Shan ZY; Yue GH; Liu JZ
    Neuroimage; 2002 Nov; 17(3):1587-98. PubMed ID: 12414297
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Atlas selection for hippocampus segmentation: Relevance evaluation of three meta-information parameters.
    Dill V; Klein PC; Franco AR; Pinho MS
    Comput Biol Med; 2018 Apr; 95():90-98. PubMed ID: 29476982
    [TBL] [Abstract][Full Text] [Related]  

  • 56. A robust discriminative multi-atlas label fusion method for hippocampus segmentation from MR image.
    Wang W; Zhang X; Ma Y; Cui H; Xia R; Zhang Y
    Comput Methods Programs Biomed; 2021 Sep; 208():106197. PubMed ID: 34102562
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease.
    Yang Z; Ye C; Bogovic JA; Carass A; Jedynak BM; Ying SH; Prince JL
    Neuroimage; 2016 Feb; 127():435-444. PubMed ID: 26408861
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Using manifold learning for atlas selection in multi-atlas segmentation.
    Hoang Duc AK; Modat M; Leung KK; Cardoso MJ; Barnes J; Kadir T; Ourselin S;
    PLoS One; 2013; 8(8):e70059. PubMed ID: 23936376
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Segmentation of abdomen MR images using kernel graph cuts with shape priors.
    Luo Q; Qin W; Wen T; Gu J; Gaio N; Chen S; Li L; Xie Y
    Biomed Eng Online; 2013 Dec; 12():124. PubMed ID: 24295198
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation.
    Heckemann RA; Keihaninejad S; Aljabar P; Rueckert D; Hajnal JV; Hammers A;
    Neuroimage; 2010 May; 51(1):221-7. PubMed ID: 20114079
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.