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 *

428 related articles for article (PubMed ID: 33251619)

  • 21. vOARiability: Interobserver and intermodality variability analysis in OAR contouring from head and neck CT and MR images.
    Podobnik G; Ibragimov B; Peterlin P; Strojan P; Vrtovec T
    Med Phys; 2024 Mar; 51(3):2175-2186. PubMed ID: 38230752
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Weaving attention U-net: A novel hybrid CNN and attention-based method for organs-at-risk segmentation in head and neck CT images.
    Zhang Z; Zhao T; Gay H; Zhang W; Sun B
    Med Phys; 2021 Nov; 48(11):7052-7062. PubMed ID: 34655077
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Impact of slice thickness, pixel size, and CT dose on the performance of automatic contouring algorithms.
    Huang K; Rhee DJ; Ger R; Layman R; Yang J; Cardenas CE; Court LE
    J Appl Clin Med Phys; 2021 May; 22(5):168-174. PubMed ID: 33779037
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
    Ibragimov B; Xing L
    Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Auto-segmentation of pancreatic tumor in multi-parametric MRI using deep convolutional neural networks.
    Liang Y; Schott D; Zhang Y; Wang Z; Nasief H; Paulson E; Hall W; Knechtges P; Erickson B; Li XA
    Radiother Oncol; 2020 Apr; 145():193-200. PubMed ID: 32045787
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Deep learning-based auto segmentation using generative adversarial network on magnetic resonance images obtained for head and neck cancer patients.
    Kawahara D; Tsuneda M; Ozawa S; Okamoto H; Nakamura M; Nishio T; Nagata Y
    J Appl Clin Med Phys; 2022 May; 23(5):e13579. PubMed ID: 35263027
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques.
    Zhu J; Zhang J; Qiu B; Liu Y; Liu X; Chen L
    Acta Oncol; 2019 Feb; 58(2):257-264. PubMed ID: 30398090
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images.
    Chen W; Li Y; Dyer BA; Feng X; Rao S; Benedict SH; Chen Q; Rong Y
    Radiat Oncol; 2020 Jul; 15(1):176. PubMed ID: 32690103
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A Preliminary Experience of Implementing Deep-Learning Based Auto-Segmentation in Head and Neck Cancer: A Study on Real-World Clinical Cases.
    Zhong Y; Yang Y; Fang Y; Wang J; Hu W
    Front Oncol; 2021; 11():638197. PubMed ID: 34026615
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Realistic CT data augmentation for accurate deep-learning based segmentation of head and neck tumors in kV images acquired during radiation therapy.
    Gardner M; Bouchta YB; Mylonas A; Mueller M; Cheng C; Chlap P; Finnegan R; Sykes J; Keall PJ; Nguyen DT
    Med Phys; 2023 Jul; 50(7):4206-4219. PubMed ID: 37029643
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation.
    Ren J; Eriksen JG; Nijkamp J; Korreman SS
    Acta Oncol; 2021 Nov; 60(11):1399-1406. PubMed ID: 34264157
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Lung tumor segmentation in 4D CT images using motion convolutional neural networks.
    Momin S; Lei Y; Tian Z; Wang T; Roper J; Kesarwala AH; Higgins K; Bradley JD; Liu T; Yang X
    Med Phys; 2021 Nov; 48(11):7141-7153. PubMed ID: 34469001
    [TBL] [Abstract][Full Text] [Related]  

  • 34. MR to ultrasound image registration with segmentation-based learning for HDR prostate brachytherapy.
    Chen Y; Xing L; Yu L; Liu W; Pooya Fahimian B; Niedermayr T; Bagshaw HP; Buyyounouski M; Han B
    Med Phys; 2021 Jun; 48(6):3074-3083. PubMed ID: 33905566
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
    Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
    Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Training deep-learning segmentation models from severely limited data.
    Zhao Y; Rhee DJ; Cardenas C; Court LE; Yang J
    Med Phys; 2021 Apr; 48(4):1697-1706. PubMed ID: 33474727
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Fast interactive medical image segmentation with weakly supervised deep learning method.
    Girum KB; Créhange G; Hussain R; Lalande A
    Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1437-1444. PubMed ID: 32653985
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Automated deep learning auto-segmentation of air volumes for MRI-guided online adaptive radiation therapy of abdominal tumors.
    Ahunbay E; Parchur AK; Xu J; Thill D; Paulson ES; Li XA
    Phys Med Biol; 2023 Jun; 68(12):. PubMed ID: 37253374
    [No Abstract]   [Full Text] [Related]  

  • 39. 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]  

  • 40. Synthetic CT-aided multiorgan segmentation for CBCT-guided adaptive pancreatic radiotherapy.
    Dai X; Lei Y; Wynne J; Janopaul-Naylor J; Wang T; Roper J; Curran WJ; Liu T; Patel P; Yang X
    Med Phys; 2021 Nov; 48(11):7063-7073. PubMed ID: 34609745
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 22.