BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 37671317)

  • 1. Deep learning assisted classification of spectral photoacoustic imaging of carotid plaques.
    Cano C; Mohammadian Rad N; Gholampour A; van Sambeek M; Pluim J; Lopata R; Wu M
    Photoacoustics; 2023 Oct; 33():100544. PubMed ID: 37671317
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Blind spectral unmixing for characterization of plaque composition based on multispectral photoacoustic imaging.
    Cano C; Matos C; Gholampour A; van Sambeek M; Lopata R; Wu M
    Sci Rep; 2023 Mar; 13(1):4119. PubMed ID: 36914717
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Unmixing multi-spectral photoacoustic sources in human carotid plaques using non-negative independent component analysis.
    Arabul MU; Rutten MCM; Bruneval P; van Sambeek MRHM; van de Vosse FN; Lopata RGP
    Photoacoustics; 2019 Sep; 15():100140. PubMed ID: 31417847
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound.
    Lekadir K; Galimzianova A; Betriu A; Del Mar Vila M; Igual L; Rubin DL; Fernandez E; Radeva P; Napel S
    IEEE J Biomed Health Inform; 2017 Jan; 21(1):48-55. PubMed ID: 27893402
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Superpixel spectral unmixing framework for the volumetric assessment of tissue chromophores: A photoacoustic data-driven approach.
    Grasso V; Willumeit-Rӧmer R; Jose J
    Photoacoustics; 2022 Jun; 26():100367. PubMed ID: 35601933
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multilevel Strip Pooling-Based Convolutional Neural Network for the Classification of Carotid Plaque Echogenicity.
    Ma W; Cheng X; Xu X; Wang F; Zhou R; Fenster A; Ding M
    Comput Math Methods Med; 2021; 2021():3425893. PubMed ID: 34457035
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Non-invasive in vivo characterization of human carotid plaques with acoustic radiation force impulse ultrasound: comparison with histology after endarterectomy.
    Czernuszewicz TJ; Homeister JW; Caughey MC; Farber MA; Fulton JJ; Ford PF; Marston WA; Vallabhaneni R; Nichols TC; Gallippi CM
    Ultrasound Med Biol; 2015 Mar; 41(3):685-97. PubMed ID: 25619778
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Toward the detection of intraplaque hemorrhage in carotid artery lesions using photoacoustic imaging.
    Arabul MU; Heres M; Rutten MC; van Sambeek MR; van de Vosse FN; Lopata RG
    J Biomed Opt; 2017 Apr; 22(4):41010. PubMed ID: 28008447
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Non-Invasive Identification of Vulnerable Atherosclerotic Plaques Using Texture Analysis in Ultrasound Carotid Elastography: An In Vivo Feasibility Study Validated by Magnetic Resonance Imaging.
    Huang C; He Q; Huang M; Huang L; Zhao X; Yuan C; Luo J
    Ultrasound Med Biol; 2017 Apr; 43(4):817-830. PubMed ID: 28153351
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Towards in vivo photoacoustic imaging of vulnerable plaques in the carotid artery.
    Muller JW; van Hees R; van Sambeek M; Boutouyrie P; Rutten M; Brands P; Wu M; Lopata R
    Biomed Opt Express; 2021 Jul; 12(7):4207-4218. PubMed ID: 34457409
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Validation of Noninvasive In Vivo Compound Ultrasound Strain Imaging Using Histologic Plaque Vulnerability Features.
    Hansen HH; de Borst GJ; Bots ML; Moll FL; Pasterkamp G; de Korte CL
    Stroke; 2016 Nov; 47(11):2770-2775. PubMed ID: 27686104
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning-based carotid plaque vulnerability classification with multicentre contrast-enhanced ultrasound video: a comparative diagnostic study.
    Guang Y; He W; Ning B; Zhang H; Yin C; Zhao M; Nie F; Huang P; Zhang RF; Yong Q; Guo Y; Yuan J; Wang Y; Yuan L; Ruan L; Yu T; Song H; Zhang Y
    BMJ Open; 2021 Aug; 11(8):e047528. PubMed ID: 34452961
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Preliminary study on the differentiation of vulnerable carotid plaques via analysis of calcium content and spectral curve slope by using gemstone spectral imaging.
    Fan ZX; Yuan SJ; Li XQ; Yang TT; Niu TT; Ma L; Sun K; Wang L; Liu GZ
    Exp Ther Med; 2022 May; 23(5):325. PubMed ID: 35386621
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Spectral analysis assisted photoacoustic imaging for lipid composition differentiation.
    Cao Y; Kole A; Lan L; Wang P; Hui J; Sturek M; Cheng JX
    Photoacoustics; 2017 Sep; 7():12-19. PubMed ID: 28649497
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep learning with convolutional neural network for estimation of the characterisation of coronary plaques: Validation using IB-IVUS.
    Masuda T; Nakaura T; Funama Y; Oda S; Okimoto T; Sato T; Noda N; Yoshiura T; Baba Y; Arao S; Hiratsuka J; Awai K
    Radiography (Lond); 2022 Feb; 28(1):61-67. PubMed ID: 34404578
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Motion-corrected coronary calcium scores by a convolutional neural network: a robotic simulating study.
    Zhang Y; van der Werf NR; Jiang B; van Hamersvelt R; Greuter MJW; Xie X
    Eur Radiol; 2020 Feb; 30(2):1285-1294. PubMed ID: 31630233
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spectroscopic photoacoustic imaging of lipid-rich plaques in the human aorta in the 740 to 1400 nm wavelength range.
    Allen TJ; Hall A; Dhillon AP; Owen JS; Beard PC
    J Biomed Opt; 2012 Jun; 17(6):061209. PubMed ID: 22734739
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Carotid Plaque Morphological Classification Compared With Biomechanical Cap Stress: Implications for a Magnetic Resonance Imaging-Based Assessment.
    Gijsen FJ; Nieuwstadt HA; Wentzel JJ; Verhagen HJ; van der Lugt A; van der Steen AF
    Stroke; 2015 Aug; 46(8):2124-8. PubMed ID: 26081843
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Real-time plaque characterization and visualization with spectral analysis of intravascular ultrasound data.
    Nair A; Klingensmith JD; Vince DG
    Stud Health Technol Inform; 2005; 113():300-20. PubMed ID: 15923746
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Semiautomated Magnetic Resonance Imaging Assessment of Carotid Plaque Lipid Content.
    Skagen K; Evensen K; Scott H; Krohg-Sørensen K; Vatnehol SA; Hol PK; Skjelland M; Russell D
    J Stroke Cerebrovasc Dis; 2016 Aug; 25(8):2004-10. PubMed ID: 27234919
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.