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Journal Abstract Search

2317 related items for PubMed ID: 29127485

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  • 24. Automatic diagnosis of abnormal macula in retinal optical coherence tomography images using wavelet-based convolutional neural network features and random forests classifier.
    Rasti R, Mehridehnavi A, Rabbani H, Hajizadeh F.
    J Biomed Opt; 2018 Mar; 23(3):1-10. PubMed ID: 29564864
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  • 26. Optical Coherence Tomography Angiography Analysis of the Foveal Avascular Zone and Macular Vessel Density After Anti-VEGF Therapy in Eyes With Diabetic Macular Edema and Retinal Vein Occlusion.
    Ghasemi Falavarjani K, Iafe NA, Hubschman JP, Tsui I, Sadda SR, Sarraf D.
    Invest Ophthalmol Vis Sci; 2017 Jan 01; 58(1):30-34. PubMed ID: 28114569
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  • 29. A new intelligent system based deep learning to detect DME and AMD in OCT images.
    Gueddena Y, Aboudi N, Zgolli H, Mabrouk S, Sidibe D, Tabia H, Khlifa N.
    Int Ophthalmol; 2024 Apr 23; 44(1):191. PubMed ID: 38653842
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  • 30. Advancing Diabetic Retinopathy Diagnosis: Leveraging Optical Coherence Tomography Imaging with Convolutional Neural Networks.
    Ahmed HS, Thrishulamurthy CJ.
    Rom J Ophthalmol; 2023 Apr 23; 67(4):398-402. PubMed ID: 38239418
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  • 31. Automated OCT angiography image quality assessment using a deep learning algorithm.
    Lauermann JL, Treder M, Alnawaiseh M, Clemens CR, Eter N, Alten F.
    Graefes Arch Clin Exp Ophthalmol; 2019 Aug 23; 257(8):1641-1648. PubMed ID: 31119426
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  • 34. Long-term effect of intravitreal bevacizumab (avastin) in patients with chronic diffuse diabetic macular edema.
    Kook D, Wolf A, Kreutzer T, Neubauer A, Strauss R, Ulbig M, Kampik A, Haritoglou C.
    Retina; 2008 Oct 23; 28(8):1053-60. PubMed ID: 18779710
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  • 40. Classification of diabetic maculopathy based on optical coherence tomography images using a Vision Transformer model.
    Cai L, Wen C, Jiang J, Liang C, Zheng H, Su Y, Chen C.
    BMJ Open Ophthalmol; 2023 Dec 21; 8(1):. PubMed ID: 38135350
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