These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

390 related articles for article (PubMed ID: 30465543)

  • 1. Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features.
    Macomber MW; Phillips M; Tarapov I; Jena R; Nori A; Carter D; Folgoc LL; Criminisi A; Nyflot MJ
    Phys Med Biol; 2018 Nov; 63(23):235002. PubMed ID: 30465543
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of a commercial DIR platform for contour propagation in prostate cancer patients treated with IMRT/VMAT.
    Hammers JE; Pirozzi S; Lindsay D; Kaidar-Person O; Tan X; Chen RC; Das SK; Mavroidis P
    J Appl Clin Med Phys; 2020 Feb; 21(2):14-25. PubMed ID: 32058663
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of commercial atlas-based automatic segmentation software for prostate radiotherapy treatment planning.
    Hizam DA; Tan LK; Saad M; Muaadz A; Ung NM
    Phys Eng Sci Med; 2024 Sep; 47(3):881-894. PubMed ID: 38647633
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Evaluating the clinical acceptability of deep learning contours of prostate and organs-at-risk in an automated prostate treatment planning process.
    Duan J; Bernard M; Downes L; Willows B; Feng X; Mourad WF; St Clair W; Chen Q
    Med Phys; 2022 Apr; 49(4):2570-2581. PubMed ID: 35147216
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Technology assessment of automated atlas based segmentation in prostate bed contouring.
    Hwee J; Louie AV; Gaede S; Bauman G; D'Souza D; Sexton T; Lock M; Ahmad B; Rodrigues G
    Radiat Oncol; 2011 Sep; 6():110. PubMed ID: 21906279
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Assessment of accuracy and efficiency of atlas-based autosegmentation for prostate radiotherapy in a variety of clinical conditions.
    Simmat I; Georg P; Georg D; Birkfellner W; Goldner G; Stock M
    Strahlenther Onkol; 2012 Sep; 188(9):807-15. PubMed ID: 22669393
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Assessment of CT to CBCT contour mapping for radiomic feature analysis in prostate cancer.
    Schmidt RM; Delgadillo R; Ford JC; Padgett KR; Studenski M; Abramowitz MC; Spieler B; Xu Y; Yang F; Dogan N
    Sci Rep; 2021 Nov; 11(1):22737. PubMed ID: 34815464
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Evaluation and optimization of the parameters used in multiple-atlas-based segmentation of prostate cancers in radiation therapy.
    Wong WK; Leung LH; Kwong DL
    Br J Radiol; 2016; 89(1057):20140732. PubMed ID: 26539630
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An uncertainty-aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning.
    Li X; Bagher-Ebadian H; Gardner S; Kim J; Elshaikh M; Movsas B; Zhu D; Chetty IJ
    Med Phys; 2023 Jan; 50(1):311-322. PubMed ID: 36112996
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Patient-specific transfer learning for auto-segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi-centric evaluation.
    Kawula M; Hadi I; Nierer L; Vagni M; Cusumano D; Boldrini L; Placidi L; Corradini S; Belka C; Landry G; Kurz C
    Med Phys; 2023 Mar; 50(3):1573-1585. PubMed ID: 36259384
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Automated segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models.
    Bordigoni B; Trivellato S; Pellegrini R; Meregalli S; Bonetto E; Belmonte M; Castellano M; Panizza D; Arcangeli S; De Ponti E
    Phys Med; 2024 Sep; 125():104486. PubMed ID: 39098106
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. A pair of deep learning auto-contouring models for prostate cancer patients injected with a radio-transparent versus radiopaque hydrogel spacer.
    Wang Y; Boyd G; Zieminski S; Kamran SC; Zietman AL; Miyamoto DT; Kirk MC; Efstathiou JA
    Med Phys; 2023 Jun; 50(6):3324-3337. PubMed ID: 36940384
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-institutional quantitative evaluation and clinical validation of Smart Probabilistic Image Contouring Engine (SPICE) autosegmentation of target structures and normal tissues on computer tomography images in the head and neck, thorax, liver, and male pelvis areas.
    Zhu M; Bzdusek K; Brink C; Eriksen JG; Hansen O; Jensen HA; Gay HA; Thorstad W; Widder J; Brouwer CL; Steenbakkers RJ; Vanhauten HA; Cao JQ; McBrayne G; Patel SH; Cannon DM; Hardcastle N; Tomé WA; Guckenberg M; Parikh PJ
    Int J Radiat Oncol Biol Phys; 2013 Nov; 87(4):809-16. PubMed ID: 24138920
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep-learning-based segmentation using individual patient data on prostate cancer radiation therapy.
    Jeong S; Cheon W; Kim S; Park W; Han Y
    PLoS One; 2024; 19(7):e0308181. PubMed ID: 39083552
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy.
    Motegi K; Tachibana H; Motegi A; Hotta K; Baba H; Akimoto T
    J Appl Clin Med Phys; 2019 Jan; 20(1):229-236. PubMed ID: 30592137
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer.
    Elmahdy MS; Jagt T; Zinkstok RT; Qiao Y; Shahzad R; Sokooti H; Yousefi S; Incrocci L; Marijnen CAM; Hoogeman M; Staring M
    Med Phys; 2019 Aug; 46(8):3329-3343. PubMed ID: 31111962
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Pretreatment information-aided automatic segmentation for online magnetic resonance imaging-guided prostate radiotherapy.
    Yang B; Liu Y; Zhu J; Lu N; Dai J; Men K
    Med Phys; 2024 Feb; 51(2):922-932. PubMed ID: 37449545
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.