BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

448 related articles for article (PubMed ID: 35578386)

  • 21. Hyperspectral Images Super-Resolution via Learning High-Order Coupled Tensor Ring Representation.
    Xu Y; Wu Z; Chanussot J; Wei Z
    IEEE Trans Neural Netw Learn Syst; 2020 Nov; 31(11):4747-4760. PubMed ID: 31902776
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction.
    Li P; Ebner M; Noonan P; Horgan C; Bahl A; Ourselin S; Shapey J; Vercauteren T
    Comput Methods Biomech Biomed Eng Imaging Vis; 2022; 10(4):409-417. PubMed ID: 38013723
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Model-Guided Deep Hyperspectral Image Super-Resolution.
    Dong W; Zhou C; Wu F; Wu J; Shi G; Li X
    IEEE Trans Image Process; 2021; 30():5754-5768. PubMed ID: 33979283
    [TBL] [Abstract][Full Text] [Related]  

  • 24. CS2DIPs: Unsupervised HSI Super-Resolution Using Coupled Spatial and Spectral DIPs.
    Fang Y; Liu Y; Chi CY; Long Z; Zhu C
    IEEE Trans Image Process; 2024; 33():3090-3101. PubMed ID: 38656842
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Spatial-Spectral Structured Sparse Low-Rank Representation for Hyperspectral Image Super-Resolution.
    Xue J; Zhao YQ; Bu Y; Liao W; Chan JC; Philips W
    IEEE Trans Image Process; 2021; 30():3084-3097. PubMed ID: 33596175
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Unsupervised spectral reconstruction from RGB images under two lighting conditions.
    Cao X; Lian Y; Liu Z; Li J; Wang K
    Opt Lett; 2024 Apr; 49(8):1993-1996. PubMed ID: 38621059
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Dilated projection correction network based on autoencoder for hyperspectral image super-resolution.
    Wang X; Ma J; Jiang J; Zhang XP
    Neural Netw; 2022 Feb; 146():107-119. PubMed ID: 34852297
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Spectral Super-Resolution via Model-Guided Cross-Fusion Network.
    Dian R; Shan T; He W; Liu H
    IEEE Trans Neural Netw Learn Syst; 2023 Jan; PP():. PubMed ID: 37022225
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Hyperspectral Imagery Super-Resolution by Adaptive POCS and Blur Metric.
    Hu S; Zhang S; Zhang A; Chai S
    Sensors (Basel); 2017 Jan; 17(1):. PubMed ID: 28054947
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Hyperspectral Microscopic Imaging for Automatic Detection of Head and Neck Squamous Cell Carcinoma Using Histologic Image and Machine Learning.
    Ma L; Halicek M; Zhou X; Dormer J; Fei B
    Proc SPIE Int Soc Opt Eng; 2020 Feb; 11320():. PubMed ID: 32476708
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Unsupervised Test-Time Adaptation Learning for Effective Hyperspectral Image Super-Resolution With Unknown Degeneration.
    Zhang L; Nie J; Wei W; Zhang Y
    IEEE Trans Pattern Anal Mach Intell; 2024 Jul; 46(7):5008-5025. PubMed ID: 38315602
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Spatial and Spectral Reconstruction of Breast Lumpectomy Hyperspectral Images.
    Jong LS; Appelman JGC; Sterenborg HJCM; Ruers TJM; Dashtbozorg B
    Sensors (Basel); 2024 Feb; 24(5):. PubMed ID: 38475103
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution.
    Xu Y; Wu Z; Chanussot J; Wei Z
    IEEE Trans Image Process; 2019 Jan; ():. PubMed ID: 30668472
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Unsupervised learning for hyperspectral recovery based on a single RGB image.
    Zhang J; Zhao D; Chen J; Sun Y; Yang D; Liang R
    Opt Lett; 2021 Aug; 46(16):3977-3980. PubMed ID: 34388789
    [TBL] [Abstract][Full Text] [Related]  

  • 35. SSTU: Swin-Spectral Transformer U-Net for hyperspectral whole slide image reconstruction.
    Wang Y; Gu Y; Nanding A
    Comput Med Imaging Graph; 2024 Jun; 114():102367. PubMed ID: 38522221
    [TBL] [Abstract][Full Text] [Related]  

  • 36. SPH-Net: Hyperspectral Image Super-Resolution via Smoothed Particle Hydrodynamics Modeling.
    Zhang M; Xu J; Zhang J; Zhao H; Shang W; Gao X
    IEEE Trans Cybern; 2023 Oct; PP():. PubMed ID: 37906479
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Unsupervised Hyperspectral and Multispectral Images Fusion Based on Nonlinear Variational Probabilistic Generative Model.
    Wang Z; Chen B; Zhang H; Liu H
    IEEE Trans Neural Netw Learn Syst; 2022 Feb; 33(2):721-735. PubMed ID: 33136546
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Diagnosis of cholangiocarcinoma from microscopic hyperspectral pathological dataset by deep convolution neural networks.
    Sun L; Zhou M; Li Q; Hu M; Wen Y; Zhang J; Lu Y; Chu J
    Methods; 2022 Jun; 202():22-30. PubMed ID: 33838272
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Fast Hyperspectral Image Recovery of Dual-Camera Compressive Hyperspectral Imaging via Non-Iterative Subspace-Based Fusion.
    He W; Yokoya N; Yuan X
    IEEE Trans Image Process; 2021; 30():7170-7183. PubMed ID: 34370666
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology.
    Halicek M; Ortega S; Fabelo H; Lopez C; Lejaune M; Callico GM; Fei B
    Proc SPIE Int Soc Opt Eng; 2020 Feb; 11320():. PubMed ID: 32528218
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 23.