BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

182 related articles for article (PubMed ID: 30969918)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. Clinical evaluation of deep learning and atlas-based auto-segmentation for critical organs at risk in radiation therapy.
    Gibbons E; Hoffmann M; Westhuyzen J; Hodgson A; Chick B; Last A
    J Med Radiat Sci; 2023 Apr; 70 Suppl 2(Suppl 2):15-25. PubMed ID: 36148621
    [TBL] [Abstract][Full Text] [Related]  

  • 6. AAR-RT - A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases.
    Wu X; Udupa JK; Tong Y; Odhner D; Pednekar GV; Simone CB; McLaughlin D; Apinorasethkul C; Apinorasethkul O; Lukens J; Mihailidis D; Shammo G; James P; Tiwari A; Wojtowicz L; Camaratta J; Torigian DA
    Med Image Anal; 2019 May; 54():45-62. PubMed ID: 30831357
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. Prospective randomized double-blind study of atlas-based organ-at-risk autosegmentation-assisted radiation planning in head and neck cancer.
    Walker GV; Awan M; Tao R; Koay EJ; Boehling NS; Grant JD; Sittig DF; Gunn GB; Garden AS; Phan J; Morrison WH; Rosenthal DI; Mohamed AS; Fuller CD
    Radiother Oncol; 2014 Sep; 112(3):321-5. PubMed ID: 25216572
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques.
    Zhu J; Zhang J; Qiu B; Liu Y; Liu X; Chen L
    Acta Oncol; 2019 Feb; 58(2):257-264. PubMed ID: 30398090
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Atlas Sampling for Prone Breast Automatic Segmentation of Organs at Risk: The Importance of Patients' Body Mass Index and Breast Cup Size for an Optimized Contouring of the Heart and the Coronary Vessels.
    Wang X; Miralbell R; Fargier-Bochaton O; Bulling S; Vallée JP; Dipasquale G
    Technol Cancer Res Treat; 2020; 19():1533033820920624. PubMed ID: 32314647
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinical validation of atlas-based auto-segmentation of multiple target volumes and normal tissue (swallowing/mastication) structures in the head and neck.
    Teguh DN; Levendag PC; Voet PW; Al-Mamgani A; Han X; Wolf TK; Hibbard LS; Nowak P; Akhiat H; Dirkx ML; Heijmen BJ; Hoogeman MS
    Int J Radiat Oncol Biol Phys; 2011 Nov; 81(4):950-7. PubMed ID: 20932664
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring.
    van Dijk LV; Van den Bosch L; Aljabar P; Peressutti D; Both S; J H M Steenbakkers R; Langendijk JA; Gooding MJ; Brouwer CL
    Radiother Oncol; 2020 Jan; 142():115-123. PubMed ID: 31653573
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.