BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

266 related articles for article (PubMed ID: 29049027)

  • 1. Atlas ranking and selection for automatic segmentation of the esophagus from CT scans.
    Yang J; Haas B; Fang R; Beadle BM; Garden AS; Liao Z; Zhang L; Balter P; Court L
    Phys Med Biol; 2017 Nov; 62(23):9140-9158. PubMed ID: 29049027
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Auto-segmentation of low-risk clinical target volume for head and neck radiation therapy.
    Yang J; Beadle BM; Garden AS; Gunn B; Rosenthal D; Ang K; Frank S; Williamson R; Balter P; Court L; Dong L
    Pract Radiat Oncol; 2014; 4(1):e31-7. PubMed ID: 24621429
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of multiple-atlas-based strategies for segmentation of the thyroid gland in head and neck CT images for IMRT.
    Chen A; Niermann KJ; Deeley MA; Dawant BM
    Phys Med Biol; 2012 Jan; 57(1):93-111. PubMed ID: 22126838
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Augmenting atlas-based liver segmentation for radiotherapy treatment planning by incorporating image features proximal to the atlas contours.
    Li D; Liu L; Chen J; Li H; Yin Y; Ibragimov B; Xing L
    Phys Med Biol; 2017 Jan; 62(1):272-288. PubMed ID: 27991439
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Clinical evaluation of multi-atlas based segmentation of lymph node regions in head and neck and prostate cancer patients.
    Sjöberg C; Lundmark M; Granberg C; Johansson S; Ahnesjö A; Montelius A
    Radiat Oncol; 2013 Oct; 8():229. PubMed ID: 24090107
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic segmentation of head and neck CT images for radiotherapy treatment planning using multiple atlases, statistical appearance models, and geodesic active contours.
    Fritscher KD; Peroni M; Zaffino P; Spadea MF; Schubert R; Sharp G
    Med Phys; 2014 May; 41(5):051910. PubMed ID: 24784389
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning.
    Schipaanboord B; Boukerroui D; Peressutti D; van Soest J; Lustberg T; Dekker A; Elmpt WV; Gooding MJ
    IEEE Trans Med Imaging; 2019 Nov; 38(11):2654-2664. PubMed ID: 30969918
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multiatlas approach with local registration goodness weighting for MRI-based electron density mapping of head and neck anatomy.
    Farjam R; Tyagi N; Veeraraghavan H; Apte A; Zakian K; Hunt MA; Deasy JO
    Med Phys; 2017 Jul; 44(7):3706-3717. PubMed ID: 28444772
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The effect of morphometric atlas selection on multi-atlas-based automatic brachial plexus segmentation.
    Van de Velde J; Wouters J; Vercauteren T; De Gersem W; Achten E; De Neve W; Van Hoof T
    Radiat Oncol; 2015 Dec; 10():260. PubMed ID: 26696278
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
    Tong N; Gou S; Yang S; Ruan D; Sheng K
    Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
    [TBL] [Abstract][Full Text] [Related]  

  • 11. How much will linked deformable registrations decrease the quality of multi-atlas segmentation fusions?
    Sjöberg C; Johansson S; Ahnesjö A
    Radiat Oncol; 2014 Dec; 9():251. PubMed ID: 25526820
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Validation of clinical acceptability of an atlas-based segmentation algorithm for the delineation of organs at risk in head and neck cancer.
    Hoang Duc AK; Eminowicz G; Mendes R; Wong SL; McClelland J; Modat M; Cardoso MJ; Mendelson AF; Veiga C; Kadir T; D'Souza D; Ourselin S
    Med Phys; 2015 Sep; 42(9):5027-34. PubMed ID: 26328953
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Performance evaluation of automatic anatomy segmentation algorithm on repeat or four-dimensional computed tomography images using deformable image registration method.
    Wang H; Garden AS; Zhang L; Wei X; Ahamad A; Kuban DA; Komaki R; O'Daniel J; Zhang Y; Mohan R; Dong L
    Int J Radiat Oncol Biol Phys; 2008 Sep; 72(1):210-9. PubMed ID: 18722272
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluation of automatic atlas-based lymph node segmentation for head-and-neck cancer.
    Stapleford LJ; Lawson JD; Perkins C; Edelman S; Davis L; McDonald MW; Waller A; Schreibmann E; Fox T
    Int J Radiat Oncol Biol Phys; 2010 Jul; 77(3):959-66. PubMed ID: 20231069
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
    Ibragimov B; Xing L
    Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deformable image registration and interobserver variation in contour propagation for radiation therapy planning.
    Riegel AC; Antone JG; Zhang H; Jain P; Raince J; Rea A; Bergamo AM; Kapur A; Potters L
    J Appl Clin Med Phys; 2016 May; 17(3):347-357. PubMed ID: 27167289
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comprehensive evaluation of ten deformable image registration algorithms for contour propagation between CT and cone-beam CT images in adaptive head & neck radiotherapy.
    Li X; Zhang Y; Shi Y; Wu S; Xiao Y; Gu X; Zhen X; Zhou L
    PLoS One; 2017; 12(4):e0175906. PubMed ID: 28414799
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The feasibility of atlas-based automatic segmentation of MRI for H&N radiotherapy planning.
    Wardman K; Prestwich RJ; Gooding MJ; Speight RJ
    J Appl Clin Med Phys; 2016 Jul; 17(4):146-154. PubMed ID: 27455480
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Atlas-guided generation of pseudo-CT images for MRI-only and hybrid PET-MRI-guided radiotherapy treatment planning.
    Arabi H; Koutsouvelis N; Rouzaud M; Miralbell R; Zaidi H
    Phys Med Biol; 2016 Sep; 61(17):6531-52. PubMed ID: 27524504
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory.
    Schipaanboord B; Boukerroui D; Peressutti D; van Soest J; Lustberg T; Kadir T; Dekker A; van Elmpt W; Gooding M
    IEEE Trans Med Imaging; 2019 Jan; 38(1):99-106. PubMed ID: 30010554
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.