BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

201 related articles for article (PubMed ID: 33252691)

  • 21. Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery.
    Chung SY; Chang JS; Choi MS; Chang Y; Choi BS; Chun J; Keum KC; Kim JS; Kim YB
    Radiat Oncol; 2021 Feb; 16(1):44. PubMed ID: 33632248
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Segmentation of organs-at-risk in cervical cancer CT images with a convolutional neural network.
    Liu Z; Liu X; Xiao B; Wang S; Miao Z; Sun Y; Zhang F
    Phys Med; 2020 Jan; 69():184-191. PubMed ID: 31918371
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Clinical Validation of a Deep-Learning Segmentation Software in Head and Neck: An Early Analysis in a Developing Radiation Oncology Center.
    D'Aviero A; Re A; Catucci F; Piccari D; Votta C; Piro D; Piras A; Di Dio C; Iezzi M; Preziosi F; Menna S; Quaranta F; Boschetti A; Marras M; Miccichè F; Gallus R; Indovina L; Bussu F; Valentini V; Cusumano D; Mattiucci GC
    Int J Environ Res Public Health; 2022 Jul; 19(15):. PubMed ID: 35897425
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Interobserver variability in organ at risk delineation in head and neck cancer.
    van der Veen J; Gulyban A; Willems S; Maes F; Nuyts S
    Radiat Oncol; 2021 Jun; 16(1):120. PubMed ID: 34183040
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Optimal virtual monoenergetic image in "TwinBeam" dual-energy CT for organs-at-risk delineation based on contrast-noise-ratio in head-and-neck radiotherapy.
    Wang T; Ghavidel BB; Beitler JJ; Tang X; Lei Y; Curran WJ; Liu T; Yang X
    J Appl Clin Med Phys; 2019 Feb; 20(2):121-128. PubMed ID: 30693665
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis.
    Liu P; Sun Y; Zhao X; Yan Y
    Biomed Eng Online; 2023 Nov; 22(1):104. PubMed ID: 37915046
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Auto-segmentation of organs at risk for head and neck radiotherapy planning: From atlas-based to deep learning methods.
    Vrtovec T; Močnik D; Strojan P; Pernuš F; Ibragimov B
    Med Phys; 2020 Sep; 47(9):e929-e950. PubMed ID: 32510603
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Automatic segmentation for adaptive planning in nasopharyngeal carcinoma IMRT: Time, geometrical, and dosimetric analysis.
    Fung NTC; Hung WM; Sze CK; Lee MCH; Ng WT
    Med Dosim; 2020 Spring; 45(1):60-65. PubMed ID: 31345672
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Gross failure rates and failure modes for a commercial AI-based auto-segmentation algorithm in head and neck cancer patients.
    Temple SWP; Rowbottom CG
    J Appl Clin Med Phys; 2024 Jun; 25(6):e14273. PubMed ID: 38263866
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Open source deformable image registration system for treatment planning and recurrence CT scans : Validation in the head and neck region.
    Zukauskaite R; Brink C; Hansen CR; Bertelsen A; Johansen J; Grau C; Eriksen JG
    Strahlenther Onkol; 2016 Aug; 192(8):545-51. PubMed ID: 27323754
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study.
    Nikolov S; Blackwell S; Zverovitch A; Mendes R; Livne M; De Fauw J; Patel Y; Meyer C; Askham H; Romera-Paredes B; Kelly C; Karthikesalingam A; Chu C; Carnell D; Boon C; D'Souza D; Moinuddin SA; Garie B; McQuinlan Y; Ireland S; Hampton K; Fuller K; Montgomery H; Rees G; Suleyman M; Back T; Hughes CO; Ledsam JR; Ronneberger O
    J Med Internet Res; 2021 Jul; 23(7):e26151. PubMed ID: 34255661
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Comparing deep learning-based auto-segmentation of organs at risk and clinical target volumes to expert inter-observer variability in radiotherapy planning.
    Wong J; Fong A; McVicar N; Smith S; Giambattista J; Wells D; Kolbeck C; Giambattista J; Gondara L; Alexander A
    Radiother Oncol; 2020 Mar; 144():152-158. PubMed ID: 31812930
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network.
    Dinkla AM; Florkow MC; Maspero M; Savenije MHF; Zijlstra F; Doornaert PAH; van Stralen M; Philippens MEP; van den Berg CAT; Seevinck PR
    Med Phys; 2019 Sep; 46(9):4095-4104. PubMed ID: 31206701
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. Contouring and dose calculation in head and neck cancer radiotherapy after reduction of metal artifacts in CT images.
    Hansen CR; Christiansen RL; Lorenzen EL; Bertelsen AS; Asmussen JT; Gyldenkerne N; Eriksen JG; Johansen J; Brink C
    Acta Oncol; 2017 Jun; 56(6):874-878. PubMed ID: 28464749
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Deep learning for elective neck delineation: More consistent and time efficient.
    van der Veen J; Willems S; Bollen H; Maes F; Nuyts S
    Radiother Oncol; 2020 Dec; 153():180-188. PubMed ID: 33065182
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Effect of CT contrast on volumetric arc therapy planning (RapidArc and helical tomotherapy) for head and neck cancer.
    Liu AJ; Vora N; Suh S; Liu A; Schultheiss TE; Wong JY
    Med Dosim; 2015; 40(1):32-6. PubMed ID: 25242679
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.