BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 34166808)

  • 1. AI-based monitoring of retinal fluid in disease activity and under therapy.
    Schmidt-Erfurth U; Reiter GS; Riedl S; Seeböck P; Vogl WD; Blodi BA; Domalpally A; Fawzi A; Jia Y; Sarraf D; Bogunović H
    Prog Retin Eye Res; 2022 Jan; 86():100972. PubMed ID: 34166808
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of Automated Quantification of Fluid Volumes to Anti-VEGF Therapy of Neovascular Age-Related Macular Degeneration.
    Schmidt-Erfurth U; Vogl WD; Jampol LM; Bogunović H
    Ophthalmology; 2020 Sep; 127(9):1211-1219. PubMed ID: 32327254
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning.
    Schlegl T; Waldstein SM; Bogunovic H; Endstraßer F; Sadeghipour A; Philip AM; Podkowinski D; Gerendas BS; Langs G; Schmidt-Erfurth U
    Ophthalmology; 2018 Apr; 125(4):549-558. PubMed ID: 29224926
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy.
    Hassan B; Qin S; Ahmed R; Hassan T; Taguri AH; Hashmi S; Werghi N
    Comput Biol Med; 2021 Sep; 136():104727. PubMed ID: 34385089
    [TBL] [Abstract][Full Text] [Related]  

  • 5. RetFluidNet: Retinal Fluid Segmentation for SD-OCT Images Using Convolutional Neural Network.
    Sappa LB; Okuwobi IP; Li M; Zhang Y; Xie S; Yuan S; Chen Q
    J Digit Imaging; 2021 Jun; 34(3):691-704. PubMed ID: 34080105
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated Segmentation of Lesions Including Subretinal Hyperreflective Material in Neovascular Age-related Macular Degeneration.
    Lee H; Kang KE; Chung H; Kim HC
    Am J Ophthalmol; 2018 Jul; 191():64-75. PubMed ID: 29655643
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic segmentation of multitype retinal fluid from optical coherence tomography images using semisupervised deep learning network.
    Li F; Pan W; Xiang W; Zou H
    Br J Ophthalmol; 2023 Sep; 107(9):1350-1355. PubMed ID: 35697498
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A paradigm shift in imaging biomarkers in neovascular age-related macular degeneration.
    Schmidt-Erfurth U; Waldstein SM
    Prog Retin Eye Res; 2016 Jan; 50():1-24. PubMed ID: 26307399
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Validation of an Automated Artificial Intelligence Algorithm for the Quantification of Major OCT Parameters in Diabetic Macular Edema.
    Midena E; Toto L; Frizziero L; Covello G; Torresin T; Midena G; Danieli L; Pilotto E; Figus M; Mariotti C; Lupidi M
    J Clin Med; 2023 Mar; 12(6):. PubMed ID: 36983137
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Spatial Correspondence Between Intraretinal Fluid, Subretinal Fluid, and Pigment Epithelial Detachment in Neovascular Age-Related Macular Degeneration.
    Klimscha S; Waldstein SM; Schlegl T; Bogunovic H; Sadeghipour A; Philip AM; Podkowinski D; Pablik E; Zhang L; Abramoff MD; Sonka M; Gerendas BS; Schmidt-Erfurth U
    Invest Ophthalmol Vis Sci; 2017 Aug; 58(10):4039-4048. PubMed ID: 28813577
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of Automated Multiclass Fluid Segmentation in Optical Coherence Tomography Images Using the Pegasus Fluid Segmentation Algorithms.
    Terry L; Trikha S; Bhatia KK; Graham MS; Wood A
    Transl Vis Sci Technol; 2021 Jan; 10(1):27. PubMed ID: 34008019
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Retinal volume change is a reliable OCT biomarker for disease activity in neovascular AMD.
    von der Burchard C; Treumer F; Ehlken C; Koinzer S; Purtskhvanidze K; Tode J; Roider J
    Graefes Arch Clin Exp Ophthalmol; 2018 Sep; 256(9):1623-1629. PubMed ID: 29915918
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automated Quantification of Pathological Fluids in Neovascular Age-Related Macular Degeneration, and Its Repeatability Using Deep Learning.
    Mantel I; Mosinska A; Bergin C; Polito MS; Guidotti J; Apostolopoulos S; Ciller C; De Zanet S
    Transl Vis Sci Technol; 2021 Apr; 10(4):17. PubMed ID: 34003996
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting treat-and-extend outcomes and treatment intervals in neovascular age-related macular degeneration from retinal optical coherence tomography using artificial intelligence.
    Bogunović H; Mares V; Reiter GS; Schmidt-Erfurth U
    Front Med (Lausanne); 2022; 9():958469. PubMed ID: 36017006
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Macular Morphology and Visual Acuity in the Second Year of the Comparison of Age-Related Macular Degeneration Treatments Trials.
    Sharma S; Toth CA; Daniel E; Grunwald JE; Maguire MG; Ying GS; Huang J; Martin DF; Jaffe GJ;
    Ophthalmology; 2016 Apr; 123(4):865-75. PubMed ID: 26783095
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Quantification of Fluid Resolution and Visual Acuity Gain in Patients With Diabetic Macular Edema Using Deep Learning: A Post Hoc Analysis of a Randomized Clinical Trial.
    Roberts PK; Vogl WD; Gerendas BS; Glassman AR; Bogunovic H; Jampol LM; Schmidt-Erfurth UM
    JAMA Ophthalmol; 2020 Sep; 138(9):945-953. PubMed ID: 32722799
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The association of exudation pattern with anatomical and functional outcomes in patients with Neovascular Age-Related Macular Degeneration.
    Inan S; Polat O; Karadas M; Inan UU
    Rom J Ophthalmol; 2019; 63(3):238-244. PubMed ID: 31687625
    [No Abstract]   [Full Text] [Related]  

  • 18. Pigment epithelial detachment followed by retinal cystoid degeneration leads to vision loss in treatment of neovascular age-related macular degeneration.
    Schmidt-Erfurth U; Waldstein SM; Deak GG; Kundi M; Simader C
    Ophthalmology; 2015 Apr; 122(4):822-32. PubMed ID: 25578255
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Impact of macular fluid volume fluctuations on visual acuity during anti-VEGF therapy in eyes with nAMD.
    Chakravarthy U; Havilio M; Syntosi A; Pillai N; Wilkes E; Benyamini G; Best C; Sagkriotis A
    Eye (Lond); 2021 Nov; 35(11):2983-2990. PubMed ID: 33414525
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Systematic Prospective Comparison of Fluid Volume Evaluation across OCT Devices Used in Clinical Practice.
    Kostolna K; Reiter GS; Frank S; Coulibaly LM; Fuchs P; Röggla V; Gumpinger M; Leitner Barrios GP; Mares V; Bogunovic H; Schmidt-Erfurth U
    Ophthalmol Sci; 2024; 4(3):100456. PubMed ID: 38317867
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.