BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 33819148)

  • 21. ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising.
    Lee K; Jeong WK
    IEEE Trans Med Imaging; 2021 Nov; 40(11):3238-3248. PubMed ID: 34242164
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Self-Supervised Joint Learning for pCLE Image Denoising.
    Yang K; Zhang H; Qiu Y; Zhai T; Zhang Z
    Sensors (Basel); 2024 Apr; 24(9):. PubMed ID: 38732957
    [TBL] [Abstract][Full Text] [Related]  

  • 23. FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising.
    Zhang K; Zuo W; Zhang L
    IEEE Trans Image Process; 2018 May; ():. PubMed ID: 29993717
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Noise2Atom: unsupervised denoising for scanning transmission electron microscopy images.
    Wang F; Henninen TR; Keller D; Erni R
    Appl Microsc; 2020 Oct; 50(1):23. PubMed ID: 33580362
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Self-supervised MRI denoising: leveraging Stein's unbiased risk estimator and spatially resolved noise maps.
    Pfaff L; Hossbach J; Preuhs E; Wagner F; Arroyo Camejo S; Kannengiesser S; Nickel D; Wuerfl T; Maier A
    Sci Rep; 2023 Dec; 13(1):22629. PubMed ID: 38114575
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction.
    Wu L; Hu S; Liu C
    Comput Intell Neurosci; 2021; 2021():5577956. PubMed ID: 34054939
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Automatic head computed tomography image noise quantification with deep learning.
    Inkinen SI; Mäkelä T; Kaasalainen T; Peltonen J; Kangasniemi M; Kortesniemi M
    Phys Med; 2022 Jul; 99():102-112. PubMed ID: 35671678
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Real-time noise reduction based on ground truth free deep learning for optical coherence tomography.
    Huang Y; Zhang N; Hao Q
    Biomed Opt Express; 2021 Apr; 12(4):2027-2040. PubMed ID: 33996214
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Training low dose CT denoising network without high quality reference data.
    Jing J; Xia W; Hou M; Chen H; Liu Y; Zhou J; Zhang Y
    Phys Med Biol; 2022 Apr; 67(8):. PubMed ID: 35313298
    [No Abstract]   [Full Text] [Related]  

  • 30. Probabilistic self-learning framework for low-dose CT denoising.
    Bai T; Wang B; Nguyen D; Jiang S
    Med Phys; 2021 May; 48(5):2258-2270. PubMed ID: 33621348
    [TBL] [Abstract][Full Text] [Related]  

  • 31. External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising.
    Xu J; Zhang L; Zhang D
    IEEE Trans Image Process; 2018 Mar; ():. PubMed ID: 29994149
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Anatomical-guided attention enhances unsupervised PET image denoising performance.
    Onishi Y; Hashimoto F; Ote K; Ohba H; Ota R; Yoshikawa E; Ouchi Y
    Med Image Anal; 2021 Dec; 74():102226. PubMed ID: 34563861
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Neural speech enhancement with unsupervised pre-training and mixture training.
    Hao X; Xu C; Xie L
    Neural Netw; 2023 Jan; 158():216-227. PubMed ID: 36463693
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness.
    Zeng R; Lin CY; Li Q; Jiang L; Skopec M; Fessler JA; Myers KJ
    Med Phys; 2022 Feb; 49(2):836-853. PubMed ID: 34954845
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Comparative study of deep neural networks with unsupervised Noise2Noise strategy for noise reduction of optical coherence tomography images.
    Qiu B; Zeng S; Meng X; Jiang Z; You Y; Geng M; Li Z; Hu Y; Huang Z; Zhou C; Ren Q; Lu Y
    J Biophotonics; 2021 Nov; 14(11):e202100151. PubMed ID: 34383390
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A blind medical image denoising method with noise generation network.
    Fu B; Zhang X; Wang L; Ren Y; Thanh DNH
    J Xray Sci Technol; 2022; 30(3):531-547. PubMed ID: 35253724
    [TBL] [Abstract][Full Text] [Related]  

  • 37. RepE: unsupervised representation learning for image enhancement in nonlinear optical microscopy.
    Jhang YJ; Lin X; Chia SH; Chen WC; Wu IC; Wu MT; Zhuo GY; Tai TM; Chen HW
    Opt Lett; 2023 Aug; 48(16):4245-4248. PubMed ID: 37582003
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Deep residual-SVD network for brain image registration.
    Cui K; Lin Y; Liu Y; Li Y
    Phys Med Biol; 2022 Jul; 67(14):. PubMed ID: 35714616
    [No Abstract]   [Full Text] [Related]  

  • 39. Deep learning for terahertz image denoising in nondestructive historical document analysis.
    Dutta B; Root K; Ullmann I; Wagner F; Mayr M; Seuret M; Thies M; Stromer D; Christlein V; Schür J; Maier A; Huang Y
    Sci Rep; 2022 Dec; 12(1):22554. PubMed ID: 36581647
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Weak signal extraction enabled by deep neural network denoising of diffraction data.
    Oppliger J; Denner MM; Küspert J; Frison R; Wang Q; Morawietz A; Ivashko O; Dippel AC; Zimmermann MV; Biało I; Martinelli L; Fauqué B; Choi J; Garcia-Fernandez M; Zhou KJ; Christensen NB; Kurosawa T; Momono N; Oda M; Natterer FD; Fischer MH; Neupert T; Chang J
    Nat Mach Intell; 2024; 6(2):180-186. PubMed ID: 38404481
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.