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Journal Abstract Search

538 related items for PubMed ID: 36899501

  • 1. Ultrasound carotid plaque segmentation via image reconstruction-based self-supervised learning with limited training labels.
    Zhou R, Ou Y, Fang X, Azarpazhooh MR, Gan H, Ye Z, Spence JD, Xu X, Fenster A.
    Math Biosci Eng; 2023 Jan; 20(2):1617-1636. PubMed ID: 36899501
    [Abstract] [Full Text] [Related]

  • 2. An image registration-based self-supervised Su-Net for carotid plaque ultrasound image segmentation.
    Ding J, Zhou R, Fang X, Wang F, Wang J, Gan H, Fenster A.
    Comput Methods Programs Biomed; 2024 Feb; 244():107957. PubMed ID: 38061113
    [Abstract] [Full Text] [Related]

  • 3. Deep Learning-Based Measurement of Total Plaque Area in B-Mode Ultrasound Images.
    Zhou R, Guo F, Azarpazhooh MR, Hashemi S, Cheng X, Spence JD, Ding M, Fenster A.
    IEEE J Biomed Health Inform; 2021 Aug; 25(8):2967-2977. PubMed ID: 33600328
    [Abstract] [Full Text] [Related]

  • 4. Semi-supervised learning framework with shape encoding for neonatal ventricular segmentation from 3D ultrasound.
    Szentimrey Z, Al-Hayali A, de Ribaupierre S, Fenster A, Ukwatta E.
    Med Phys; 2024 Sep; 51(9):6134-6148. PubMed ID: 38857570
    [Abstract] [Full Text] [Related]

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  • 6. Unsupervised shape-and-texture-based generative adversarial tuning of pre-trained networks for carotid segmentation from 3D ultrasound images.
    Chen Z, Jiang M, Chiu B.
    Med Phys; 2024 Oct; 51(10):7240-7256. PubMed ID: 39008794
    [Abstract] [Full Text] [Related]

  • 7. Semi-supervised abdominal multi-organ segmentation by object-redrawing.
    Cho MJ, Lee JS.
    Med Phys; 2024 Nov; 51(11):8334-8347. PubMed ID: 39167059
    [Abstract] [Full Text] [Related]

  • 8. Deep Learning-Based Carotid Plaque Segmentation from B-Mode Ultrasound Images.
    Zhou R, Azarpazhooh MR, Spence JD, Hashemi S, Ma W, Cheng X, Gan H, Ding M, Fenster A.
    Ultrasound Med Biol; 2021 Sep; 47(9):2723-2733. PubMed ID: 34217560
    [Abstract] [Full Text] [Related]

  • 9. Deep learning-based carotid media-adventitia and lumen-intima boundary segmentation from three-dimensional ultrasound images.
    Zhou R, Fenster A, Xia Y, Spence JD, Ding M.
    Med Phys; 2019 Jul; 46(7):3180-3193. PubMed ID: 31071228
    [Abstract] [Full Text] [Related]

  • 10. Automatic segmentation of ultrasound images of carotid atherosclerotic plaque based on Dense-UNet.
    Deng C, Adu J, Xie S, Li Z, Meng Q, Zhang Q, Yin L, Peng B.
    Technol Health Care; 2023 Jul; 31(1):165-179. PubMed ID: 35964217
    [Abstract] [Full Text] [Related]

  • 11. Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETR.
    Yazdani E, Karamzadeh-Ziarati N, Cheshmi SS, Sadeghi M, Geramifar P, Vosoughi H, Jahromi MK, Kheradpisheh SR.
    Cancer Imaging; 2024 Feb 29; 24(1):30. PubMed ID: 38424612
    [Abstract] [Full Text] [Related]

  • 12. Positional contrastive learning for improved thigh muscle segmentation in MR images.
    Casali N, Scalco E, Taccogna MG, Lauretani F, Porcelli S, Ciuni A, Mastropietro A, Rizzo G.
    NMR Biomed; 2024 Oct 29; 37(10):e5197. PubMed ID: 38822595
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  • 14. An integrated method for atherosclerotic carotid plaque segmentation in ultrasound image.
    Qian C, Yang X.
    Comput Methods Programs Biomed; 2018 Jan 29; 153():19-32. PubMed ID: 29157451
    [Abstract] [Full Text] [Related]

  • 15. Assessing the impact of ultrasound image standardization in deep learning-based segmentation of carotid plaque types.
    Liapi GD, Loizou CP, Pattichis CS, Pattichis MS, Nicolaides AN, Griffin M, Kyriacou E.
    Comput Methods Programs Biomed; 2024 Dec 29; 257():108460. PubMed ID: 39426138
    [Abstract] [Full Text] [Related]

  • 16. Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning.
    Yang H, Shan C, Bouwman A, Dekker LRC, Kolen AF, de With PHN.
    IEEE J Biomed Health Inform; 2022 Feb 29; 26(2):762-773. PubMed ID: 34347611
    [Abstract] [Full Text] [Related]

  • 17. ReFs: A hybrid pre-training paradigm for 3D medical image segmentation.
    Xie Y, Zhang J, Liu L, Wang H, Ye Y, Verjans J, Xia Y.
    Med Image Anal; 2024 Jan 29; 91():103023. PubMed ID: 37956551
    [Abstract] [Full Text] [Related]

  • 18. 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 29; 48(7):3860-3877. PubMed ID: 33905560
    [Abstract] [Full Text] [Related]

  • 19. Robust spatial fuzzy GMM based MRI segmentation and carotid artery plaque detection in ultrasound images.
    Hassan M, Murtza I, Hira A, Ali S, Kifayat K.
    Comput Methods Programs Biomed; 2019 Jul 29; 175():179-192. PubMed ID: 31104706
    [Abstract] [Full Text] [Related]

  • 20. 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 29; 46(7):3194-3206. PubMed ID: 31074513
    [Abstract] [Full Text] [Related]

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