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Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning.

, , , , and . Medical Image Anal., (2020)

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Forming projection images from each layer of retina using diffusion may based OCT segmentation., , , , and . ISSPA, page 930-934. IEEE, (2012)Deep learning and classic machine learning models in the automatic diagnosis of multiple sclerosis using retinal vessels., , , , and . Multim. Tools Appl., 83 (13): 37483-37504 (April 2024)Vessel segmentation in images of optical coherence tomography using shadow information and thickening of Retinal Nerve Fiber Layer., , , , and . ICASSP, page 1075-1079. IEEE, (2013)Exact localization of breakpoints of Retinal pigment epithelium in Optical Coherence Tomography of Optic Nerve Head., , , and . EMBC, page 1505-1508. IEEE, (2017)Combination of graph theoretic grouping and time-frequency analysis for image segmentation., , and . ICASSP, page 5115-5119. IEEE, (2014)Biased Deep Learning Methods in Detection of COVID-19 Using CT Images: A Challenge Mounted by Subject-Wise-Split ISFCT Dataset., , , , , , , , , and 5 other author(s). J. Imaging, 9 (8): 159 (2023)Intra-retinal layer segmentation of optical coherence tomography using diffusion map., , , and . ICASSP, page 1080-1084. IEEE, (2013)COVID-19 in Iran: Forecasting Pandemic Using Deep Learning., , , , , , , , , and . Comput. Math. Methods Medicine, (2021)A Lightweight Mimic Convolutional Auto-Encoder for Denoising Retinal Optical Coherence Tomography Images., , , and . IEEE Trans. Instrum. Meas., (2021)A Dual-Discriminator Fourier Acquisitive GAN for Generating Retinal Optical Coherence Tomography Images., , , and . IEEE Trans. Instrum. Meas., (2022)