BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

114 related articles for article (PubMed ID: 37067972)

  • 1. Dynamical Hyperspectral Unmixing With Variational Recurrent Neural Networks.
    Borsoi RA; Imbiriba T; Closas P
    IEEE Trans Image Process; 2023; 32():2279-2294. PubMed ID: 37067972
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Unsupervised Unmixing of Hyperspectral Images Accounting for Endmember Variability.
    Halimi A; Dobigeon N; Tourneret JY
    IEEE Trans Image Process; 2015 Dec; 24(12):4904-17. PubMed ID: 26302517
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability.
    Drumetz L; Veganzones MA; Henrot S; Phlypo R; Chanussot J; Jutten C
    IEEE Trans Image Process; 2016 Aug; 25(8):3890-905. PubMed ID: 27305674
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A spatial compositional model for linear unmixing and endmember uncertainty estimation.
    Zhou Y; Rangarajan A; Gader PD
    IEEE Trans Image Process; 2016 Dec; 25(12):5987-6002. PubMed ID: 28113399
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Toward a Sparse Bayesian Markov Random Field Approach to Hyperspectral Unmixing and Classification.
    Peng Chen ; Nelson JDB; Tourneret JY
    IEEE Trans Image Process; 2017 Jan; 26(1):426-438. PubMed ID: 27810822
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing.
    Zhou Y; Rangarajan A; Gader PD
    IEEE Trans Image Process; 2018 May; 27(5):2242-2256. PubMed ID: 29432104
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dynamical Spectral Unmixing of Multitemporal Hyperspectral Images.
    Henrot S; Chanussot J; Jutten C
    IEEE Trans Image Process; 2016 Jul; 25(7):3219-3232. PubMed ID: 27164590
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms.
    Drumetz L; Meyer TR; Chanussot J; Bertozzi AL; Jutten C
    IEEE Trans Image Process; 2019 Jul; 28(7):3435-3450. PubMed ID: 30716036
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. [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]  

  • 16. 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]  

  • 17. Stochastic spectral unmixing with enhanced endmember class separation.
    Eismann MT; Hardie RC
    Appl Opt; 2004 Dec; 43(36):6596-608. PubMed ID: 15646779
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Multi-GPU Based Parallel Design of the Ant Colony Optimization Algorithm for Endmember Extraction from Hyperspectral Images.
    Gao J; Sun Y; Zhang B; Chen Z; Gao L; Zhang W
    Sensors (Basel); 2019 Jan; 19(3):. PubMed ID: 30708972
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Adversarial Autoencoder Network for Hyperspectral Unmixing.
    Jin Q; Ma Y; Fan F; Huang J; Mei X; Ma J
    IEEE Trans Neural Netw Learn Syst; 2023 Aug; 34(8):4555-4569. PubMed ID: 34623277
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.