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Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images.
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G. Huang, Z. Liu, L. Van Der Maaten, and K. Q. Weinberger, · 2017
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“Unet++: A nested u-net architecture for medical image segmentation,”
Z. Zhou, M. M. R. Siddiquee, N. Tajbakhsh, and J. Liang, · 2018
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“Deep layer aggregation,”
F. Yu, D. Wang, E. Shelhamer, and T. Darrell, · 2018
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“Rethinking high-risk groups in covid-19,”
A. Vishnevetsky and M. Levy, · 2020
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“A review of coronavirus disease-2019 (covid-19),”
T. Singhal, · 2020
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“Modeling the onset of symptoms of covid-19,”
J. R. Larsen, M. R. Martin, J. D. Martin, P. Kuhn, and J. B. Hicks, · 2020
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“Real-time rt-pcr in covid-19 detection: issues affecting the results,”
A. Tahamtan and A. Ardebili, · 2020
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“Chest ct findings in coronavirus disease-19 (covid-19): relationship to duration of infection,”
A. Bernheim, X. Mei, M. Huang, Y. Yang, Z. A. Fayad, N. Zhang, K. Diao, B. Lin, X. Zhu, K. Li, et al., · 2020
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“Diagnostic tools for coronavirus disease (covid-19): comparing ct and rt-pcr viral nucleic acid testing,”
J. V. Waller, P. Kaur, A. Tucker, K. K. Lin, M. J. Diaz, T. S. Henry, and M. Hope, · 2020
Cited alongside, same era.
“Chest x-ray in new coronavirus disease 2019 (covid-19) infection: findings and correlation with clinical outcome,”
D. Cozzi, M. Albanesi, E. Cavigli, C. Moroni, A. Bindi, S. Luvarà, S. Lucarini, S. Busoni, L. N. Mazzoni, and V. Miele, · 2020
Cited alongside, same era.
“Covid-19: automatic detection from x-ray images utilizing transfer learning with convolutional neural networks,”
I. D. Apostolopoulos and T. A. Mpesiana, · 2020
Cited alongside, same era.
“Covid-net: A tailored deep convolutional neural network design for detection of covid-19 cases from chest x-ray images,”
L. Wang, Z. Q. Lin, and A. Wong, · 2020
Cited alongside, same era.
“Pdcovidnet: a parallel-dilated convolutional neural network architecture for detecting covid-19 from chest x-ray images,”
N. K. Chowdhury, M. M. Rahman, and M. A Kabir, · 2020
“Covid-19 infection localization and severity grading from chest x-ray images,”
A. M. Tahir, M. E. H. Chowdhury, A. Khandakar, T. Rahman, Y. Qiblawey, U. Khurshid, S. Kiranyaz, N. Ibtehaz, M. S. Rahman, S. Al-Maadeed, et al., · 2021
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“Self-organized operational neural networks with generative neurons,”
S. Kiranyaz, J. Malik, H. B. Abdallah, T. Ince, A. Iosifidis, and M. Gabbouj, · 2021
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“Self-organized operational neural networks for severe image restoration problems,”
J. Malik, S. Kiranyaz, and M. Gabbouj, · 2021
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“Self-organized variational autoencoders (self-vae) for learned image compression,”
M. A. Yılmaz, O. Keleş, H. Güven, A. M. Tekalp, J. Malik, and S. Kıranyaz, · 2021
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“Self-organized residual blocks for image super-resolution,”
O. Keleş, A. M. Tekalp, J. Malik, and S. Kıranyaz, · 2021
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Cited alongside, same era.
“Automatic detection of coronavirus disease (covid-19) using x-ray images and deep convolutional neural networks,”
A. Narin, C. Kaya, and Z. Pamuk, · 2021
Cited alongside, same era.
“Classification of covid-19 chest x-rays with deep learning: new models or fine tuning?,”
T. D. Pham, · 2021
Cited alongside, same era.
“Reliable covid-19 detection using chest x-ray images,”
A. Degerli, M. Ahishali, S. Kiranyaz, M. E. H. Chowdhury, and M. Gabbouj, · 2021
Cited alongside, same era.
“Covid-19 classification of x-ray images using deep neural networks,”
D. Keidar, D. Yaron, E. Goldstein, Y. Shachar, A. Blass, L. Charbinsky, I. Aharony, L. Lifshitz, D. Lumelsky, Z. Neeman, et al., · 2021
Cited alongside, same era.
“Covid-19 infection map generation and detection from chest x-ray images,”
A. Degerli, M. Ahishali, M. Yamac, S. Kiranyaz, M. E. H. Chowdhury, K. Hameed, T. Hamid, R. Mazhar, and M. Gabbouj, · 2021
Cited alongside, same era.
“Real-time glaucoma detection from digital fundus images using self-onns,”
O. C. Devecioglu, J. Malik, T. Ince, S. Kiranyaz, E. Atalay, and M. Gabbouj, · 2021
Later among the works it cites.
“Deep learning for reliable classification of covid-19, mers, and sars from chest x-ray images,”
A. M. Tahir, Y. Qiblawey, A. Khandakar, T. Rahman, U. Khurshid, F. Musharavati, M. Islam, S. Kiranyaz, S. Al-Maadeed, and M. E. H. Chowdhury, · 2022
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“Bimcv covid-19+: a large annotated dataset of rx and ct images from covid-19 patients,” 2020,
M. I. Vayá, J. M. Saborit, J. A. Montell, A. Pertusa, A. Bustos, M. Cazorla, J. Galant, X. Barber, D. Orozco-Beltrán, F. García-García, M. Caparrós, G. González, and J. M. Salinas, · 2022
Closest in time.
“Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases,”
X. Wang, Y. Peng, L. Lu, Z. Lu, M. Bagheri, and R. M. Summers, · 2097
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