74 related articles for article (PubMed ID: 28519817)
1. SU-E-J-101: Weighted Voting Method for Multi-Atlas Segmentation in CT Scans.
Arbisser A; Sharp G; Golland P; Shusharina N
Med Phys; 2012 Jun; 39(6Part7):3675-3676. PubMed ID: 28519817
[TBL] [Abstract][Full Text] [Related]
2. WE-E-213CD-09: Multi-Atlas Fusion Using a Tissue Appearance Model.
Yang J; Garden A; Zhang Y; Zhang L; Court L; Dong L
Med Phys; 2012 Jun; 39(6Part27):3961. PubMed ID: 28519979
[TBL] [Abstract][Full Text] [Related]
3. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates.
Pipitone J; Park MT; Winterburn J; Lett TA; Lerch JP; Pruessner JC; Lepage M; Voineskos AN; Chakravarty MM;
Neuroimage; 2014 Nov; 101():494-512. PubMed ID: 24784800
[TBL] [Abstract][Full Text] [Related]
4. Dynamic multiatlas selection-based consensus segmentation of head and neck structures from CT images.
Haq R; Berry SL; Deasy JO; Hunt M; Veeraraghavan H
Med Phys; 2019 Dec; 46(12):5612-5622. PubMed ID: 31587300
[TBL] [Abstract][Full Text] [Related]
5. WE-E-213CD-06: A Locally Adaptive, Intensity-Based Label Fusion Method for Multi- Atlas Auto-Segmentation.
Han X
Med Phys; 2012 Jun; 39(6Part27):3960. PubMed ID: 28520018
[TBL] [Abstract][Full Text] [Related]
6. Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection.
Zhuang X; Bai W; Song J; Zhan S; Qian X; Shi W; Lian Y; Rueckert D
Med Phys; 2015 Jul; 42(7):3822-33. PubMed ID: 26133584
[TBL] [Abstract][Full Text] [Related]
7. SU-E-J-106: Atlas-Based Segmentation: Evaluation of a Multi-Atlas Approach for Lung Cancer.
Pirozzi S; Horvat M; Piper J; Nelson A
Med Phys; 2012 Jun; 39(6Part7):3677. PubMed ID: 28519780
[TBL] [Abstract][Full Text] [Related]
8. Low-complexity atlas-based prostate segmentation by combining global, regional, and local metrics.
Xie Q; Ruan D
Med Phys; 2014 Apr; 41(4):041909. PubMed ID: 24694140
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. SU-E-J-109: Accurate Contour Transfer Between Different Image Modalities Using a Hybrid Deformable Image Registration and Fuzzy Connected Image Segmentation Method.
Yang C; Paulson E; Li X
Med Phys; 2012 Jun; 39(6Part7):3677. PubMed ID: 28519799
[TBL] [Abstract][Full Text] [Related]
12. WE-E-213CD-02: Gaussian Weighted Multi-Atlas Based Segmentation for Head and Neck Radiotherapy Planning.
Peroni M; Sharp GC; Golland P; Baroni G
Med Phys; 2012 Jun; 39(6Part27):3959. PubMed ID: 28519983
[TBL] [Abstract][Full Text] [Related]
13. Deformable image registration based automatic CT-to-CT contour propagation for head and neck adaptive radiotherapy in the routine clinical setting.
Kumarasiri A; Siddiqui F; Liu C; Yechieli R; Shah M; Pradhan D; Zhong H; Chetty IJ; Kim J
Med Phys; 2014 Dec; 41(12):121712. PubMed ID: 25471959
[TBL] [Abstract][Full Text] [Related]
14. SU-E-I-16: Automated Liver Segmentation Method for CBCT Dataset by Probabilistic Atlas Construction.
Li D; Li H; Yin Y; Chen J
Med Phys; 2012 Jun; 39(6Part4):3628. PubMed ID: 28519510
[TBL] [Abstract][Full Text] [Related]
15. Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information.
Klein S; van der Heide UA; Lips IM; van Vulpen M; Staring M; Pluim JP
Med Phys; 2008 Apr; 35(4):1407-17. PubMed ID: 18491536
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Automated multi-atlas segmentation of gluteus maximus from Dixon and T1-weighted magnetic resonance images.
Belzunce MA; Henckel J; Fotiadou A; Di Laura A; Hart A
MAGMA; 2020 Oct; 33(5):677-688. PubMed ID: 32152794
[TBL] [Abstract][Full Text] [Related]
18. Tissue segmentation of head and neck CT images for treatment planning: a multiatlas approach combined with intensity modeling.
Fortunati V; Verhaart RF; van der Lijn F; Niessen WJ; Veenland JF; Paulides MM; van Walsum T
Med Phys; 2013 Jul; 40(7):071905. PubMed ID: 23822442
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]