BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

4476 related articles for article (PubMed ID: 30136285)

  • 41. Evaluation of Deep Learning to Augment Image-Guided Radiotherapy for Head and Neck and Prostate Cancers.
    Oktay O; Nanavati J; Schwaighofer A; Carter D; Bristow M; Tanno R; Jena R; Barnett G; Noble D; Rimmer Y; Glocker B; O'Hara K; Bishop C; Alvarez-Valle J; Nori A
    JAMA Netw Open; 2020 Nov; 3(11):e2027426. PubMed ID: 33252691
    [TBL] [Abstract][Full Text] [Related]  

  • 42. 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]  

  • 43. Training of head and neck segmentation networks with shape prior on small datasets.
    Tappeiner E; Pröll S; Fritscher K; Welk M; Schubert R
    Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1417-1425. PubMed ID: 32556921
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
    Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
    Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Multi-organ auto-delineation in head-and-neck MRI for radiation therapy using regional convolutional neural network.
    Dai X; Lei Y; Wang T; Zhou J; Rudra S; McDonald M; Curran WJ; Liu T; Yang X
    Phys Med Biol; 2022 Jan; 67(2):. PubMed ID: 34794138
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Recurrent Convolutional Neural Networks for 3D Mandible Segmentation in Computed Tomography.
    Qiu B; Guo J; Kraeima J; Glas HH; Zhang W; Borra RJH; Witjes MJH; van Ooijen PMA
    J Pers Med; 2021 May; 11(6):. PubMed ID: 34072714
    [TBL] [Abstract][Full Text] [Related]  

  • 47. 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]  

  • 48. Technical Note: More accurate and efficient segmentation of organs-at-risk in radiotherapy with convolutional neural networks cascades.
    Men K; Geng H; Cheng C; Zhong H; Huang M; Fan Y; Plastaras JP; Lin A; Xiao Y
    Med Phys; 2019 Jan; 46(1):286-292. PubMed ID: 30450825
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Development of in-house fully residual deep convolutional neural network-based segmentation software for the male pelvic CT.
    Hirashima H; Nakamura M; Baillehache P; Fujimoto Y; Nakagawa S; Saruya Y; Kabasawa T; Mizowaki T
    Radiat Oncol; 2021 Jul; 16(1):135. PubMed ID: 34294090
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Evaluation of auto-segmentation accuracy of cloud-based artificial intelligence and atlas-based models.
    Urago Y; Okamoto H; Kaneda T; Murakami N; Kashihara T; Takemori M; Nakayama H; Iijima K; Chiba T; Kuwahara J; Katsuta S; Nakamura S; Chang W; Saitoh H; Igaki H
    Radiat Oncol; 2021 Sep; 16(1):175. PubMed ID: 34503533
    [TBL] [Abstract][Full Text] [Related]  

  • 51. A convolutional neural network algorithm for automatic segmentation of head and neck organs at risk using deep lifelong learning.
    Chan JW; Kearney V; Haaf S; Wu S; Bogdanov M; Reddick M; Dixit N; Sudhyadhom A; Chen J; Yom SS; Solberg TD
    Med Phys; 2019 May; 46(5):2204-2213. PubMed ID: 30887523
    [TBL] [Abstract][Full Text] [Related]  

  • 52. A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy.
    Chen X; Sun S; Bai N; Han K; Liu Q; Yao S; Tang H; Zhang C; Lu Z; Huang Q; Zhao G; Xu Y; Chen T; Xie X; Liu Y
    Radiother Oncol; 2021 Jul; 160():175-184. PubMed ID: 33961914
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring.
    van Dijk LV; Van den Bosch L; Aljabar P; Peressutti D; Both S; J H M Steenbakkers R; Langendijk JA; Gooding MJ; Brouwer CL
    Radiother Oncol; 2020 Jan; 142():115-123. PubMed ID: 31653573
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Robust and efficient abdominal CT segmentation using shape constrained multi-scale attention network.
    Tong N; Xu Y; Zhang J; Gou S; Li M
    Phys Med; 2023 Jun; 110():102595. PubMed ID: 37178624
    [TBL] [Abstract][Full Text] [Related]  

  • 55. 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]  

  • 56. 3D Lightweight Network for Simultaneous Registration and Segmentation of Organs-at-Risk in CT Images of Head and Neck Cancer.
    Huang B; Ye Y; Xu Z; Cai Z; He Y; Zhong Z; Liu L; Chen X; Chen H; Huang B
    IEEE Trans Med Imaging; 2022 Apr; 41(4):951-964. PubMed ID: 34784272
    [TBL] [Abstract][Full Text] [Related]  

  • 57. A slice classification model-facilitated 3D encoder-decoder network for segmenting organs at risk in head and neck cancer.
    Zhang S; Wang H; Tian S; Zhang X; Li J; Lei R; Gao M; Liu C; Yang L; Bi X; Zhu L; Zhu S; Xu T; Yang R
    J Radiat Res; 2021 Jan; 62(1):94-103. PubMed ID: 33029634
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Benefits of deep learning for delineation of organs at risk in head and neck cancer.
    van der Veen J; Willems S; Deschuymer S; Robben D; Crijns W; Maes F; Nuyts S
    Radiother Oncol; 2019 Sep; 138():68-74. PubMed ID: 31146073
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
    Roth HR; Lu L; Lay N; Harrison AP; Farag A; Sohn A; Summers RM
    Med Image Anal; 2018 Apr; 45():94-107. PubMed ID: 29427897
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Machine-assisted interpolation algorithm for semi-automated segmentation of highly deformable organs.
    Luximon DC; Abdulkadir Y; Chow PE; Morris ED; Lamb JM
    Med Phys; 2022 Jan; 49(1):41-51. PubMed ID: 34783027
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 224.