BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

264 related articles for article (PubMed ID: 27305679)

  • 21. 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]  

  • 22. Hyperspectral agricultural mapping using support vector machine-based endmember extraction (SVM-BEE).
    Filippi AM; Archibald R; Bhaduri BL; Bright EA
    Opt Express; 2009 Dec; 17(26):23823-42. PubMed ID: 20052093
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Hyperspectral image segmentation using a new spectral unmixing-based binary partition tree representation.
    Veganzones MA; Tochon G; Dalla-Mura M; Plaza AJ; Chanussot J
    IEEE Trans Image Process; 2014 Aug; 23(8):3574-3589. PubMed ID: 24951694
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imagery.
    Eches O; Dobigeon N; Mailhes C; Tourneret JY
    IEEE Trans Image Process; 2010 Jun; 19(6):1403-13. PubMed ID: 20215083
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Manifold regularization for sparse unmixing of hyperspectral images.
    Liu J; Zhang C; Zhang J; Li H; Gao Y
    Springerplus; 2016; 5(1):2007. PubMed ID: 27933263
    [TBL] [Abstract][Full Text] [Related]  

  • 27. The Successive Projection Algorithm (SPA), an Algorithm with a Spatial Constraint for the Automatic Search of Endmembers in Hyperspectral Data.
    Zhang J; Rivard B; Rogge DM
    Sensors (Basel); 2008 Feb; 8(2):1321-1342. PubMed ID: 27879768
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability.
    Borsoi RA; Imbiriba T; Bermudez JCM
    IEEE Trans Image Process; 2020; 29():116-127. PubMed ID: 31329120
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Framelet-Based Sparse Unmixing of Hyperspectral Images.
    Zhang G; Xu Y; Fang F
    IEEE Trans Image Process; 2016 Apr; 25(4):1516-29. PubMed ID: 26849863
    [TBL] [Abstract][Full Text] [Related]  

  • 30. [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]  

  • 31. Robust Hyperspectral Unmixing With Correntropy-Based Metric.
    Wang Y; Pan C; Xiang S; Zhu F
    IEEE Trans Image Process; 2015 Nov; 24(11):4027-40. PubMed ID: 26186789
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Automatic extraction of optimal endmembers from airborne hyperspectral imagery using iterative error analysis (IEA) and spectral discrimination measurements.
    Song A; Chang A; Choi J; Choi S; Kim Y
    Sensors (Basel); 2015 Jan; 15(2):2593-613. PubMed ID: 25625907
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing.
    Hong D; Gao L; Yao J; Yokoya N; Chanussot J; Heiden U; Zhang B
    IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6518-6531. PubMed ID: 34048352
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Unmixing Guided Unsupervised Network for RGB Spectral Super-Resolution.
    Qu Q; Pan B; Xu X; Li T; Shi Z
    IEEE Trans Image Process; 2023; 32():4856-4867. PubMed ID: 37527312
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Hyperspectral Blind Unmixing Using a Double Deep Image Prior.
    Zhou C; Rodrigues MRD
    IEEE Trans Neural Netw Learn Syst; 2023 Aug; PP():. PubMed ID: 37603474
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Determining the intrinsic dimension of a hyperspectral image using random matrix theory.
    Cawse-Nicholson K; Damelin SB; Robin A; Sears M
    IEEE Trans Image Process; 2013 Apr; 22(4):1301-10. PubMed ID: 23193450
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 14.