137 related articles for article (PubMed ID: 25914491)
1. Multi-atlas-based Segmentation of the Parotid Glands of MR Images in Patients Following Head-and-neck Cancer Radiotherapy.
Cheng G; Yang X; Wu N; Xu Z; Zhao H; Wang Y; Liu T
Proc SPIE Int Soc Opt Eng; 2013 Feb; 8670():. PubMed ID: 25914491
[TBL] [Abstract][Full Text] [Related]
2. Automated segmentation of the parotid gland based on atlas registration and machine learning: a longitudinal MRI study in head-and-neck radiation therapy.
Yang X; Wu N; Cheng G; Zhou Z; Yu DS; Beitler JJ; Curran WJ; Liu T
Int J Radiat Oncol Biol Phys; 2014 Dec; 90(5):1225-33. PubMed ID: 25442347
[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. Cascaded deep learning-based auto-segmentation for head and neck cancer patients: Organs at risk on T2-weighted magnetic resonance imaging.
Korte JC; Hardcastle N; Ng SP; Clark B; Kron T; Jackson P
Med Phys; 2021 Dec; 48(12):7757-7772. PubMed ID: 34676555
[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. 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]
7. Segmentation of parotid glands from registered CT and MR images.
Močnik D; Ibragimov B; Xing L; Strojan P; Likar B; Pernuš F; Vrtovec T
Phys Med; 2018 Aug; 52():33-41. PubMed ID: 30139607
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of Atlas-based auto-segmentation of liver in MR images for Yttrium-90 selective internal radiation therapy.
Li J; Anne R
J Appl Clin Med Phys; 2023 May; 24(5):e13979. PubMed ID: 37070130
[TBL] [Abstract][Full Text] [Related]
9. Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glands.
Sheikh K; Lee SH; Cheng Z; Lakshminarayanan P; Peng L; Han P; McNutt TR; Quon H; Lee J
Radiat Oncol; 2019 Jul; 14(1):131. PubMed ID: 31358029
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Diagnostic accuracy of ultrasonic histogram features to evaluate radiation toxicity of the parotid glands: a clinical study of xerostomia following head-and-neck cancer radiotherapy.
Yang X; Tridandapani S; Beitler JJ; Yu DS; Chen Z; Kim S; Bruner DW; Curran WJ; Liu T
Acad Radiol; 2014 Oct; 21(10):1304-13. PubMed ID: 25088832
[TBL] [Abstract][Full Text] [Related]
12. Can dose reduction to one parotid gland prevent xerostomia?--A feasibility study for locally advanced head and neck cancer patients treated with intensity-modulated radiotherapy.
Anand AK; Jain J; Negi PS; Chaudhoory AR; Sinha SN; Choudhury PS; Kumar R; Munjal RK
Clin Oncol (R Coll Radiol); 2006 Aug; 18(6):497-504. PubMed ID: 16909975
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Automatic contouring of brachial plexus using a multi-atlas approach for lung cancer radiotherapy.
Yang J; Amini A; Williamson R; Zhang L; Zhang Y; Komaki R; Liao Z; Cox J; Welsh J; Court L; Dong L
Pract Radiat Oncol; 2013 Oct; 3(4):. PubMed ID: 24273627
[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. Parotid gland sparing in patients undergoing bilateral head and neck irradiation: techniques and early results.
Eisbruch A; Ship JA; Martel MK; Ten Haken RK; Marsh LH; Wolf GT; Esclamado RM; Bradford CR; Terrell JE; Gebarski SS; Lichter AS
Int J Radiat Oncol Biol Phys; 1996 Sep; 36(2):469-80. PubMed ID: 8892473
[TBL] [Abstract][Full Text] [Related]
17. Ultrasound GLCM texture analysis of radiation-induced parotid-gland injury in head-and-neck cancer radiotherapy: an in vivo study of late toxicity.
Yang X; Tridandapani S; Beitler JJ; Yu DS; Yoshida EJ; Curran WJ; Liu T
Med Phys; 2012 Sep; 39(9):5732-9. PubMed ID: 22957638
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Impact of Node Negative Target Volume Delineation on Contralateral Parotid Gland Dose Sparing Using IMRT in Head and Neck Cancer.
Magnuson WJ; Urban E; Bayliss RA; Harari PM
Technol Cancer Res Treat; 2015 Jun; 14(3):315-9. PubMed ID: 25782188
[TBL] [Abstract][Full Text] [Related]
20. Auto-segmentation of normal and target structures in head and neck CT images: a feature-driven model-based approach.
Qazi AA; Pekar V; Kim J; Xie J; Breen SL; Jaffray DA
Med Phys; 2011 Nov; 38(11):6160-70. PubMed ID: 22047381
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
