BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 35070483)

  • 1. Stress Testing Pathology Models with Generated Artifacts.
    Wang NC; Kaplan J; Lee J; Hodgin J; Udager A; Rao A
    J Pathol Inform; 2021; 12():54. PubMed ID: 35070483
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Quality control stress test for deep learning-based diagnostic model in digital pathology.
    Schömig-Markiefka B; Pryalukhin A; Hulla W; Bychkov A; Fukuoka J; Madabhushi A; Achter V; Nieroda L; Büttner R; Quaas A; Tolkach Y
    Mod Pathol; 2021 Dec; 34(12):2098-2108. PubMed ID: 34168282
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artifact Augmentation for Enhanced Tissue Detection in Microscope Scanner Systems.
    Küttel D; Kovács L; Szölgyén Á; Paulik R; Jónás V; Kozlovszky M; Molnár B
    Sensors (Basel); 2023 Nov; 23(22):. PubMed ID: 38005629
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Simulated MRI Artifacts: Testing Machine Learning Failure Modes.
    Wang NC; Noll DC; Srinivasan A; Gagnon-Bartsch J; Kim MM; Rao A
    BME Front; 2022; 2022():9807590. PubMed ID: 37850164
    [No Abstract]   [Full Text] [Related]  

  • 5. Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum-likelihood polynomial fitting approach.
    Ghazi P; Hernandez AM; Abbey C; Yang K; Boone JM
    Med Phys; 2019 Aug; 46(8):3414-3430. PubMed ID: 31102462
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Unsupervised learning of a deep neural network for metal artifact correction using dual-polarity readout gradients.
    Kwon K; Kim D; Kim B; Park H
    Magn Reson Med; 2020 Jan; 83(1):124-138. PubMed ID: 31403219
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Metal artifact reduction for practical dental computed tomography by improving interpolation-based reconstruction with deep learning.
    Liang K; Zhang L; Yang H; Yang Y; Chen Z; Xing Y
    Med Phys; 2019 Dec; 46(12):e823-e834. PubMed ID: 31811792
    [TBL] [Abstract][Full Text] [Related]  

  • 8. CycleGAN-based deep learning technique for artifact reduction in fundus photography.
    Yoo TK; Choi JY; Kim HK
    Graefes Arch Clin Exp Ophthalmol; 2020 Aug; 258(8):1631-1637. PubMed ID: 32361805
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Weakly- and Semisupervised Probabilistic Segmentation and Quantification of Reverberation Artifacts.
    Hung ALY; Chen E; Galeotti J
    BME Front; 2022; 2022():9837076. PubMed ID: 37850165
    [No Abstract]   [Full Text] [Related]  

  • 10. Psoriasis skin biopsy image segmentation using Deep Convolutional Neural Network.
    Pal A; Garain U; Chandra A; Chatterjee R; Senapati S
    Comput Methods Programs Biomed; 2018 Jun; 159():59-69. PubMed ID: 29650319
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A semi-supervised learning method of latent features based on convolutional neural networks for CT metal artifact reduction.
    Shi Z; Wang N; Kong F; Cao H; Cao Q
    Med Phys; 2022 Jun; 49(6):3845-3859. PubMed ID: 35322430
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Reduction of respiratory motion artifacts in gadoxetate-enhanced MR with a deep learning-based filter using convolutional neural network.
    Kromrey ML; Tamada D; Johno H; Funayama S; Nagata N; Ichikawa S; Kühn JP; Onishi H; Motosugi U
    Eur Radiol; 2020 Nov; 30(11):5923-5932. PubMed ID: 32556463
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning for stone artifact identification: Distinguishing worked stone artifacts from natural clasts using deep neural networks.
    Emmitt J; Masoud-Ansari S; Phillipps R; Middleton S; Graydon J; Holdaway S
    PLoS One; 2022; 17(8):e0271582. PubMed ID: 35947537
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Object recognition in medical images via anatomy-guided deep learning.
    Jin C; Udupa JK; Zhao L; Tong Y; Odhner D; Pednekar G; Nag S; Lewis S; Poole N; Mannikeri S; Govindasamy S; Singh A; Camaratta J; Owens S; Torigian DA
    Med Image Anal; 2022 Oct; 81():102527. PubMed ID: 35830745
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Metal artifact reduction on cervical CT images by deep residual learning.
    Huang X; Wang J; Tang F; Zhong T; Zhang Y
    Biomed Eng Online; 2018 Nov; 17(1):175. PubMed ID: 30482231
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Correlation-Driven Mapping For Deep Learning application in detecting artifacts within the EEG.
    Bahador N; Erikson K; Laurila J; Koskenkari J; Ala-Kokko T; Kortelainen J
    J Neural Eng; 2020 Oct; 17(5):056018. PubMed ID: 33055380
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation.
    Ke J; Liu K; Sun Y; Xue Y; Huang J; Lu Y; Dai J; Chen Y; Han X; Shen Y; Shen D
    IEEE Trans Med Imaging; 2023 Dec; 42(12):3487-3500. PubMed ID: 37352087
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Unified Deep Learning Framework for ssTEM Image Restoration.
    Deng S; Huang W; Chen C; Fu X; Xiong Z
    IEEE Trans Med Imaging; 2022 Dec; 41(12):3734-3746. PubMed ID: 35905070
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Metal artifact reduction in 2D CT images with self-supervised cross-domain learning.
    Yu L; Zhang Z; Li X; Ren H; Zhao W; Xing L
    Phys Med Biol; 2021 Aug; 66(17):. PubMed ID: 34330119
    [TBL] [Abstract][Full Text] [Related]  

  • 20. SemiMAR: Semi-Supervised Learning for CT Metal Artifact Reduction.
    Wang T; Yu H; Wang Z; Chen H; Liu Y; Lu J; Zhang Y
    IEEE J Biomed Health Inform; 2023 Nov; 27(11):5369-5380. PubMed ID: 37669208
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.