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 *

162 related articles for article (PubMed ID: 30694227)

  • 1. Computed tomography data collection of the complete human mandible and valid clinical ground truth models.
    Wallner J; Mischak I; Jan Egger
    Sci Data; 2019 Jan; 6():190003. PubMed ID: 30694227
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset.
    Egger J; Pfarrkirchner B; Gsaxner C; Lindner L; Schmalstieg D; Wallner J
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():656-660. PubMed ID: 30440482
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Clinical evaluation of semi-automatic open-source algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action.
    Wallner J; Hochegger K; Chen X; Mischak I; Reinbacher K; Pau M; Zrnc T; Schwenzer-Zimmerer K; Zemann W; Schmalstieg D; Egger J
    PLoS One; 2018; 13(5):e0196378. PubMed ID: 29746490
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Segmentation evaluation with sparse ground truth data: Simulating true segmentations as perfect/imperfect as those generated by humans.
    Li J; Udupa JK; Tong Y; Wang L; Torigian DA
    Med Image Anal; 2021 Apr; 69():101980. PubMed ID: 33588116
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Ground truth delineation for medical image segmentation based on Local Consistency and Distribution Map analysis.
    Cheng I; Sun X; Alsufyani N; Xiong Z; Major P; Basu A
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():3073-6. PubMed ID: 26736941
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery.
    Wallner J; Schwaiger M; Hochegger K; Gsaxner C; Zemann W; Egger J
    Comput Methods Programs Biomed; 2019 Dec; 182():105102. PubMed ID: 31610359
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic segmentation of the pharyngeal airway space with convolutional neural network.
    Shujaat S; Jazil O; Willems H; Van Gerven A; Shaheen E; Politis C; Jacobs R
    J Dent; 2021 Aug; 111():103705. PubMed ID: 34077802
    [TBL] [Abstract][Full Text] [Related]  

  • 8. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
    Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
    Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic CT image segmentation of maxillary sinus based on VGG network and improved V-Net.
    Xu J; Wang S; Zhou Z; Liu J; Jiang X; Chen X
    Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1457-1465. PubMed ID: 32676871
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic mandible segmentation from CT image using 3D fully convolutional neural network based on DenseASPP and attention gates.
    Xu J; Liu J; Zhang D; Zhou Z; Jiang X; Zhang C; Chen X
    Int J Comput Assist Radiol Surg; 2021 Oct; 16(10):1785-1794. PubMed ID: 34287750
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.
    Zhou X; Takayama R; Wang S; Hara T; Fujita H
    Med Phys; 2017 Oct; 44(10):5221-5233. PubMed ID: 28730602
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic segmentation variability estimation with segmentation priors.
    Joskowicz L; Cohen D; Caplan N; Sosna J
    Med Image Anal; 2018 Dec; 50():54-64. PubMed ID: 30208356
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automated aorta segmentation in low-dose chest CT images.
    Xie Y; Padgett J; Biancardi AM; Reeves AP
    Int J Comput Assist Radiol Surg; 2014 Mar; 9(2):211-9. PubMed ID: 23877280
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic segmentation of thoracic and pelvic CT images for radiotherapy planning using implicit anatomic knowledge and organ-specific segmentation strategies.
    Haas B; Coradi T; Scholz M; Kunz P; Huber M; Oppitz U; André L; Lengkeek V; Huyskens D; van Esch A; Reddick R
    Phys Med Biol; 2008 Mar; 53(6):1751-71. PubMed ID: 18367801
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography.
    Verhelst PJ; Smolders A; Beznik T; Meewis J; Vandemeulebroucke A; Shaheen E; Van Gerven A; Willems H; Politis C; Jacobs R
    J Dent; 2021 Nov; 114():103786. PubMed ID: 34425172
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
    Tong N; Gou S; Yang S; Cao M; Sheng K
    Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Application of image correction in 3D reconstruction of mandible from CT slices].
    Yang W; Liu J; Liao M
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2004 Jun; 21(3):387-90. PubMed ID: 15250139
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic segmentation of the mandible from computed tomography scans for 3D virtual surgical planning using the convolutional neural network.
    Qiu B; Guo J; Kraeima J; Glas HH; Borra RJH; Witjes MJH; van Ooijen PMA
    Phys Med Biol; 2019 Sep; 64(17):175020. PubMed ID: 31239411
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Improving Threshold Segmentation in 3D Reconstruction of Mandible CT Image].
    Tan PY; Chen JH; Li P; Guo JX; Tang W; Long J; Liu L; Tian WD
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2015 May; 46(3):458-62. PubMed ID: 26121874
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
    Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
    Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.