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 *

150 related articles for article (PubMed ID: 29940088)

  • 1. Nonlinear Unmixing of Hyperspectral Datasets for the Study of Painted Works of Art.
    Rohani N; Pouyet E; Walton M; Cossairt O; Katsaggelos AK
    Angew Chem Int Ed Engl; 2018 Aug; 57(34):10910-10914. PubMed ID: 29940088
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Reflectance Hyperspectral Imaging for Investigation of Works of Art: Old Master Paintings and Illuminated Manuscripts.
    Cucci C; Delaney JK; Picollo M
    Acc Chem Res; 2016 Oct; 49(10):2070-2079. PubMed ID: 27677864
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Unsupervised post-nonlinear unmixing of hyperspectral images using a Hamiltonian Monte Carlo algorithm.
    Altmann Y; Dobigeon N; Tourneret JY
    IEEE Trans Image Process; 2014 Jun; 23(6):2663-2675. PubMed ID: 24686282
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability.
    Thouvenin PA; Dobigeon N; Tourneret JY
    IEEE Trans Image Process; 2016 Sep; 25(9):3979-90. PubMed ID: 27305679
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Residual component analysis of hyperspectral images--application to joint nonlinear unmixing and nonlinearity detection.
    Altmann Y; Dobigeon N; McLaughlin S; Tourneret JY
    IEEE Trans Image Process; 2014 May; 23(5):2148-2158. PubMed ID: 24723576
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Supervised nonlinear spectral unmixing using a postnonlinear mixing model for hyperspectral imagery.
    Altmann Y; Halimi A; Dobigeon N; Tourneret JY
    IEEE Trans Image Process; 2012 Jun; 21(6):3017-25. PubMed ID: 22345533
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-resolution terrestrial hyperspectral dataset for spectral unmixing problems.
    Manohar Kumar CVSS; Jha SS; Nidamanuri RR; Dadhwal VK
    Data Brief; 2022 Aug; 43():108331. PubMed ID: 35707244
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral images.
    Eches O; Benediktsson JA; Dobigeon N; Tourneret JY
    IEEE Trans Image Process; 2013 Jan; 22(1):5-16. PubMed ID: 22711772
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hyperspectral Blind Unmixing Using a Double Deep Image Prior.
    Zhou C; Rodrigues MRD
    IEEE Trans Neural Netw Learn Syst; 2024 Nov; 35(11):16478-16492. PubMed ID: 37603474
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters.
    Caccia M; Caglio S; Galli A; Interlenghi M; Castiglioni I; Martini M
    J Vis Exp; 2021 Jun; (172):. PubMed ID: 34223834
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Independent component analysis for spectral unmixing in hyperspectral remote sensing image].
    Luo WF; Zhong L; Zhang B; Gao LR
    Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Jun; 30(6):1628-33. PubMed ID: 20707164
    [TBL] [Abstract][Full Text] [Related]  

  • 12. High-resolution compound-specific mapping in works of art via data fusion of MA-XRPD with hyperspectral data (part 1: Method evaluation).
    Gestels A; Gabrieli F; De Kerf T; Vanmeert F; García HF; Delaney J; Janssens K; Steenackers G; Vanlanduit S
    Talanta; 2024 Dec; 280():126731. PubMed ID: 39167937
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Spectral mixture analysis of EELS spectrum-images.
    Dobigeon N; Brun N
    Ultramicroscopy; 2012 Sep; 120():25-34. PubMed ID: 22796556
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Efficient quantitative hyperspectral image unmixing method for large-scale Raman micro-spectroscopy data analysis.
    Lobanova EG; Lobanov SV
    Anal Chim Acta; 2019 Mar; 1050():32-43. PubMed ID: 30661589
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Reflectance Imaging Spectroscopy (RIS) for
    Gabrieli F; Delaney JK; Erdmann RG; Gonzalez V; van Loon A; Smulders P; Berkeveld R; van Langh R; Keune K
    Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34696068
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial Intelligence for Pigment Classification Task in the Short-Wave Infrared Range.
    Pouyet E; Miteva T; Rohani N; de Viguerie L
    Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577356
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Unveiling the non-linear effects of water and oil on hyperspectral imaging-based characterization of solid waste by hyperspectral unmixing.
    Lan DY; He PJ; Qi YP; Lü F; Zhang H
    Waste Manag; 2024 Dec; 190():251-260. PubMed ID: 39357305
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Quantitative interpretation of mineral hyperspectral images based on principal component analysis and independent component analysis methods.
    Jiang X; Jiang Y; Wu F; Wu F
    Appl Spectrosc; 2014; 68(4):502-9. PubMed ID: 24694708
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Robustness improvement of hyperspectral image unmixing by spatial second-order regularization.
    Bauer S; Stefan J; Michelsburg M; Laengle T; León FP
    IEEE Trans Image Process; 2014 Dec; 23(12):5209-21. PubMed ID: 25312923
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A compressive sensing and unmixing scheme for hyperspectral data processing.
    Li C; Sun T; Kelly KF; Zhang Y
    IEEE Trans Image Process; 2012 Mar; 21(3):1200-10. PubMed ID: 21914570
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.