The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
CT quantification of pneumonia lesions in early days predicts progression to severe illness in a cohort of COVID-19 patients
Open accessAbstract
: CT quantification of pneumonia lesions can early and non-invasively predict the progression to severe illness, providing a promising prognostic indicator for clinical management of COVID-19.
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Citations
Cites
U-Net: Convolutional Networks for Biomedical Image Segmentation
Ronneberger, O., Fischer, P., & Brox, T. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_28 · Cited by 99,404
Metlay, J. P., Waterer, G. W., Long, A. C., Anzueto, A., Brozek, J., Crothers, K., Cooley, L. A., Dean, N. C., Fine, M. J., Flanders, S. A., et al. (2019) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201908-1581st · Cited by 3,657
Ardila, D., Kiraly, A. P., Bharadwaj, S., Choi, B., Reicher, J. J., Peng, L., Tse, D., Etemadi, M., Ye, W., Corrado, G., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0447-x · Cited by 2,167
Cited by
RETRACTED: 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study
Huang, C., Huang, L., Wang, Y., Li, X., Ren, L., Gu, X., Kang, L., Guo, L., Liu, M., Zhou, X., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(20)32656-8 · Cited by 4,084
Self-citationRetractedWynants, L., Van Calster, B., Bonten, M. M., Collins, G. S., Debray, T. P., De Vos, M., Haller, M. C., Heinze, G., Moons, K. G., Riley, R. D., et al. (2020) · doi:10.1101/2020.03.24.20041020 · Cited by 3,070
The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Maleki Varnosfaderani, S., & Forouzanfar, M. (2024) · Bioengineering · doi:10.3390/bioengineering11040337 · Cited by 931
Zhou, M., Yin, Z., Xu, J., Wang, S., Liao, T., Wang, K., Li, Y., Yang, F., Wang, Z., Yang, G., et al. (2021) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiab181 · Cited by 39
“The standard protocols were as previously reported[12-15], and are described in detail in the Supplementary Methods.”
Method
Metadata
- Authors
- Liu, F., Zhang, Q., Huang, C., Shi, C., Wang, L., Shi, N., Fang, C., Shan, F., Mei, X., Shi, J., Song, F., Yang, Z., Ding, Z., Su, X., Lu, H., Zhu, T., Zhang, Z., Shi, L., & Shi, Y.
- Venue
- Theranostics
- Publisher
- Ivyspring International Publisher
- Published
- 2020
- Volume
- 10
- Issue
- 12
- Pages
- 5613-5622
- ISSN
- 1838-7640 (ISSN-L)
- OpenAlex
- W3022882668
- Cited by
- 215
- References
- 3
- FWCI
- 5.76
- Type
- journal article
- Language
- en
- Open access
- gold
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
