BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

947 related articles for article (PubMed ID: 31050804)

  • 1. Learning-based automatic segmentation of arteriovenous malformations on contrast CT images in brain stereotactic radiosurgery.
    Wang T; Lei Y; Tian S; Jiang X; Zhou J; Liu T; Dresser S; Curran WJ; Shu HK; Yang X
    Med Phys; 2019 Jul; 46(7):3133-3141. PubMed ID: 31050804
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated left ventricular myocardium segmentation using 3D deeply supervised attention U-net for coronary computed tomography angiography; CT myocardium segmentation.
    Jun Guo B; He X; Lei Y; Harms J; Wang T; Curran WJ; Liu T; Jiang Zhang L; Yang X
    Med Phys; 2020 Apr; 47(4):1775-1785. PubMed ID: 32017118
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Clinical significance of 3D reconstruction of arteriovenous malformation using digital subtraction angiography and its modification with CT information in stereotactic radiosurgery.
    Zhang XQ; Shirato H; Aoyama H; Ushikoshi S; Nishioka T; Zhang DZ; Miyasaka K
    Int J Radiat Oncol Biol Phys; 2003 Dec; 57(5):1392-9. PubMed ID: 14630278
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ultrasound prostate segmentation based on multidirectional deeply supervised V-Net.
    Lei Y; Tian S; He X; Wang T; Wang B; Patel P; Jani AB; Mao H; Curran WJ; Liu T; Yang X
    Med Phys; 2019 Jul; 46(7):3194-3206. PubMed ID: 31074513
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.
    Wang B; Lei Y; Tian S; Wang T; Liu Y; Patel P; Jani AB; Mao H; Curran WJ; Liu T; Yang X
    Med Phys; 2019 Apr; 46(4):1707-1718. PubMed ID: 30702759
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Special aspects of diagnostic imaging for radiosurgery of arteriovenous malformations.
    Hamm KD; Klisch J; Surber G; Kleinert G; Eger C; Aschenbach R
    Neurosurgery; 2008 May; 62(5 Suppl):A44-52; discussion A52. PubMed ID: 18580780
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
    Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
    Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
    Tong N; Gou S; Yang S; Ruan D; Sheng K
    Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks.
    Men K; Dai J; Li Y
    Med Phys; 2017 Dec; 44(12):6377-6389. PubMed ID: 28963779
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic segmentation of brain metastases using T1 magnetic resonance and computed tomography images.
    Hsu DG; Ballangrud Å; Shamseddine A; Deasy JO; Veeraraghavan H; Cervino L; Beal K; Aristophanous M
    Phys Med Biol; 2021 Aug; 66(17):. PubMed ID: 34315148
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Abdomen CT multi-organ segmentation using token-based MLP-Mixer.
    Pan S; Chang CW; Wang T; Wynne J; Hu M; Lei Y; Liu T; Patel P; Roper J; Yang X
    Med Phys; 2023 May; 50(5):3027-3038. PubMed ID: 36463516
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks.
    Chen J; Li Y; Luna LP; Chung HW; Rowe SP; Du Y; Solnes LB; Frey EC
    Med Phys; 2021 Jul; 48(7):3860-3877. PubMed ID: 33905560
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: A feasibility study.
    Wang T; Lei Y; Tang H; He Z; Castillo R; Wang C; Li D; Higgins K; Liu T; Curran WJ; Zhou W; Yang X
    J Nucl Cardiol; 2020 Jun; 27(3):976-987. PubMed ID: 30693428
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic stent recognition using perceptual attention U-net for quantitative intrafraction motion monitoring in pancreatic cancer radiotherapy.
    He X; Cai W; Li F; Zhang P; Reyngold M; Cuaron JJ; Cerviño LI; Li T; Li X
    Med Phys; 2022 Aug; 49(8):5283-5293. PubMed ID: 35524706
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and validation of a CT-3D rotational angiography registration method for AVM radiosurgery.
    Stancanello J; Cavedon C; Francescon P; Cerveri P; Ferrigno G; Colombo F; Perini S
    Med Phys; 2004 Jun; 31(6):1363-71. PubMed ID: 15259640
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MRI-based treatment planning for brain stereotactic radiosurgery: Dosimetric validation of a learning-based pseudo-CT generation method.
    Wang T; Manohar N; Lei Y; Dhabaan A; Shu HK; Liu T; Curran WJ; Yang X
    Med Dosim; 2019 Autumn; 44(3):199-204. PubMed ID: 30115539
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Toward accurate tooth segmentation from computed tomography images using a hybrid level set model.
    Gan Y; Xia Z; Xiong J; Zhao Q; Hu Y; Zhang J
    Med Phys; 2015 Jan; 42(1):14-27. PubMed ID: 25563244
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 48.