155 related articles for article (PubMed ID: 24594798)
1. Segmentation of pelvic structures for planning CT using a geometrical shape model tuned by a multi-scale edge detector.
Martínez F; Romero E; Dréan G; Simon A; Haigron P; de Crevoisier R; Acosta O
Phys Med Biol; 2014 Mar; 59(6):1471-84. PubMed ID: 24594798
[TBL] [Abstract][Full Text] [Related]
2. Object-constrained meshless deformable algorithm for high speed 3D nonrigid registration between CT and CBCT.
Chen T; Kim S; Goyal S; Jabbour S; Zhou J; Rajagopal G; Haffty B; Yue N
Med Phys; 2010 Jan; 37(1):197-210. PubMed ID: 20175482
[TBL] [Abstract][Full Text] [Related]
3. Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images.
Shao Y; Gao Y; Wang Q; Yang X; Shen D
Med Image Anal; 2015 Dec; 26(1):345-56. PubMed ID: 26439938
[TBL] [Abstract][Full Text] [Related]
4. Propagation of target and organ at risk contours in radiotherapy of prostate cancer using deformable image registration.
Thörnqvist S; Petersen JB; Høyer M; Bentzen LN; Muren LP
Acta Oncol; 2010 Oct; 49(7):1023-32. PubMed ID: 20831491
[TBL] [Abstract][Full Text] [Related]
5. An atlas-based electron density mapping method for magnetic resonance imaging (MRI)-alone treatment planning and adaptive MRI-based prostate radiation therapy.
Dowling JA; Lambert J; Parker J; Salvado O; Fripp J; Capp A; Wratten C; Denham JW; Greer PB
Int J Radiat Oncol Biol Phys; 2012 May; 83(1):e5-11. PubMed ID: 22330995
[TBL] [Abstract][Full Text] [Related]
6. A semiautomatic segmentation method for prostate in CT images using local texture classification and statistical shape modeling.
Shahedi M; Halicek M; Guo R; Zhang G; Schuster DM; Fei B
Med Phys; 2018 Jun; 45(6):2527-2541. PubMed ID: 29611216
[TBL] [Abstract][Full Text] [Related]
7. Automatic segmentation of pelvic structures from magnetic resonance images for prostate cancer radiotherapy.
Pasquier D; Lacornerie T; Vermandel M; Rousseau J; Lartigau E; Betrouni N
Int J Radiat Oncol Biol Phys; 2007 Jun; 68(2):592-600. PubMed ID: 17498571
[TBL] [Abstract][Full Text] [Related]
8. Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network.
Dong X; Lei Y; Tian S; Wang T; Patel P; Curran WJ; Jani AB; Liu T; Yang X
Radiother Oncol; 2019 Dec; 141():192-199. PubMed ID: 31630868
[TBL] [Abstract][Full Text] [Related]
9. CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation.
Wang S; He K; Nie D; Zhou S; Gao Y; Shen D
Med Image Anal; 2019 May; 54():168-178. PubMed ID: 30928830
[TBL] [Abstract][Full Text] [Related]
10. Automatic multiorgan segmentation in CT images of the male pelvis using region-specific hierarchical appearance cluster models.
Li D; Zang P; Chai X; Cui Y; Li R; Xing L
Med Phys; 2016 Oct; 43(10):5426. PubMed ID: 27782723
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. ARPM-net: A novel CNN-based adversarial method with Markov random field enhancement for prostate and organs at risk segmentation in pelvic CT images.
Zhang Z; Zhao T; Gay H; Zhang W; Sun B
Med Phys; 2021 Jan; 48(1):227-237. PubMed ID: 33151620
[TBL] [Abstract][Full Text] [Related]
13. Automatic Substitute Computed Tomography Generation and Contouring for Magnetic Resonance Imaging (MRI)-Alone External Beam Radiation Therapy From Standard MRI Sequences.
Dowling JA; Sun J; Pichler P; Rivest-Hénault D; Ghose S; Richardson H; Wratten C; Martin J; Arm J; Best L; Chandra SS; Fripp J; Menk FW; Greer PB
Int J Radiat Oncol Biol Phys; 2015 Dec; 93(5):1144-53. PubMed ID: 26581150
[TBL] [Abstract][Full Text] [Related]
14. Automatic segmentation of male pelvic anatomy on computed tomography images: a comparison with multiple observers in the context of a multicentre clinical trial.
Geraghty JP; Grogan G; Ebert MA
Radiat Oncol; 2013 Apr; 8():106. PubMed ID: 23631832
[TBL] [Abstract][Full Text] [Related]
15. 3D meshless prostate segmentation and registration in image guided radiotherapy.
Chen T; Kim S; Zhou J; Metaxas D; Rajagopal G; Yue N
Med Image Comput Comput Assist Interv; 2009; 12(Pt 1):43-50. PubMed ID: 20425969
[TBL] [Abstract][Full Text] [Related]
16. Deformable image registration for contour propagation from CT to cone-beam CT scans in radiotherapy of prostate cancer.
Thor M; Petersen JB; Bentzen L; Høyer M; Muren LP
Acta Oncol; 2011 Aug; 50(6):918-25. PubMed ID: 21767192
[TBL] [Abstract][Full Text] [Related]
17. Impact of CT reconstruction algorithm on auto-segmentation performance.
Miller C; Mittelstaedt D; Black N; Klahr P; Nejad-Davarani S; Schulz H; Goshen L; Han X; Ghanem AI; Morris ED; Glide-Hurst C
J Appl Clin Med Phys; 2019 Sep; 20(9):95-103. PubMed ID: 31538718
[TBL] [Abstract][Full Text] [Related]
18. Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning.
Chowdhury N; Toth R; Chappelow J; Kim S; Motwani S; Punekar S; Lin H; Both S; Vapiwala N; Hahn S; Madabhushi A
Med Phys; 2012 Apr; 39(4):2214-28. PubMed ID: 22482643
[TBL] [Abstract][Full Text] [Related]
19. Evaluation of margins in pelvic lymph nodes and prostate radiotherapy and the impact of bladder and rectum on prostate position.
Marnouche EA; Hadadi K; Abdelhak M; Benlemlih M; Hommadi M; Zaghba N; Andaloussi Saghir K; Elmarjany M; Sifat H; Mansouri H
Cancer Radiother; 2021 Apr; 25(2):161-168. PubMed ID: 33454191
[TBL] [Abstract][Full Text] [Related]
20. Interactive prostate segmentation using atlas-guided semi-supervised learning and adaptive feature selection.
Park SH; Gao Y; Shi Y; Shen D
Med Phys; 2014 Nov; 41(11):111715. PubMed ID: 25370629
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
