The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Automated Methods for Detection and Classification Pneumonia Based on X-Ray Images Using Deep Learning
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Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474
Densely Connected Convolutional Networks
Huang, G., Liu, Z., Van Der Maaten, L., & Weinberger, K. Q. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.243 · Cited by 48,566
Rethinking the Inception Architecture for Computer Vision
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., & Wojna, Z. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.308 · Cited by 32,138
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., & Chen, L.-C. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00474 · Cited by 28,755
Xception: Deep Learning with Depthwise Separable Convolutions
Chollet, F. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.195 · Cited by 20,380
Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
A survey on deep learning in medical image analysis
Litjens, G., Kooi, T., Bejnordi, B. E., Setio, A. A. A., Ciompi, F., Ghafoorian, M., van der Laak, J. A. W. M., van Ginneken, B., & Sánchez, C. I. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.07.005 · Cited by 15,332
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Kermany, D. S., Goldbaum, M., Cai, W., Valentim, C. C. S., Liang, H., Baxter, S. L., McKeown, A., Yang, G., Wu, X., Yan, F., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.010 · Cited by 4,842
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
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Identification of a novel coronavirus in patients with severe acute respiratory syndrome
Drosten, C., Günther, S., Preiser, W., van der Werf, S., Brodt, H.-R., Becker, S., Rabenau, H., Panning, M., Kolesnikova, L., Fouchier, R. A. M., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa030747 · Cited by 4,574
Cited by
Sharma, S., & Guleria, K. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2023.01.018 · Cited by 359
Applications of artificial intelligence in battling against covid-19: A literature review
Tayarani N., M.-H. (2021) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2020.110338 · Cited by 210
A systematic review on AI/ML approaches against COVID-19 outbreak
Dogan, O., Tiwari, S., Jabbar, M. A., & Guggari, S. (2021) · Complex & Intelligent Systems · doi:10.1007/s40747-021-00424-8 · Cited by 87
Metadata
- Authors
- El Asnaoui, K., Chawki, Y., & Idri, A.
- Venue
- Studies in Big Data
- Publisher
- Springer International Publishing
- Published
- 2021
- Pages
- 257-284
- ISSN
- 2197-6503 (ISSN-L)
- 2197-6511
- OpenAlex
- W3014206051
- Cited by
- 289
- References
- 15
- FWCI
- 172.35
- Type
- book chapter
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Automated Methods for Detection and Classification Pneumonia Based on X-Ray Images Using Deep Learning. https://app.cochat.ai/papers/10.1007/978-3-030-74575-2_14
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- El Asnaoui, K., Chawki, Y., & Idri, A. (2021). Automated Methods for Detection and Classification Pneumonia Based on X-Ray Images Using Deep Learning. Studies in Big Data. https://doi.org/10.1007/978-3-030-74575-2_14
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
