The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Applications of artificial intelligence in cardiovascular imaging
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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
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
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
Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., García, S., Gil-López, S., Molina, D., Benjamins, R., et al. (2019) · arXiv · doi:10.48550/arxiv.1910.10045 · Cited by 11,321
Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., et al. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.12.012 · Cited by 10,423
An Introduction to Variational Autoencoders
Kingma, D. P., & Welling, M. (2019) · Foundations and Trends® in Machine Learning · doi:10.1561/2200000056 · Cited by 2,609
Attia, Z. I., Kapa, S., Lopez-Jimenez, F., McKie, P. M., Ladewig, D. J., Satam, G., Pellikka, P. A., Enriquez-Sarano, M., Noseworthy, P. A., Munger, T. M., et al. (2019) · Nature Medicine · doi:10.1038/s41591-018-0240-2 · Cited by 1,389
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
Bai, W., Sinclair, M., Tarroni, G., Oktay, O., Rajchl, M., Vaillant, G., Lee, A. M., Aung, N., Lukaschuk, E., Sanghvi, M. M., et al. (2018) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/s12968-018-0471-x · Cited by 773
Self-supervised learning for medical image analysis using image context restoration
Chen, L., Bentley, P., Mori, K., Misawa, K., Fujiwara, M., & Rueckert, D. (2019) · Medical Image Analysis · doi:10.1016/j.media.2019.101539 · Cited by 575
Deep learning interpretation of echocardiograms
Ghorbani, A., Ouyang, D., Abid, A., He, B., Chen, J. H., Harrington, R. A., Liang, D. H., Ashley, E. A., & Zou, J. Y. (2020) · npj Digital Medicine · doi:10.1038/s41746-019-0216-8 · Cited by 518
Cited by
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
Artificial Intelligence in Cardiovascular Imaging: “Unexplainable” Legal and Ethical Challenges?
Lang, M., Bernier, A., & Knoppers, B. M. (2022) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2021.10.009 · Cited by 37
Marey, A., Serdysnki, K. C., Killeen, B. D., Unberath, M., & Umair, M. (2024) · BJR|Artificial Intelligence · doi:10.1093/bjrai/ubae008 · Cited by 7
Metadata
- Authors
- Sermesant, M., Delingette, H., Cochet, H., Jaïs, P., & Ayache, N.
- Venue
- Nature Reviews Cardiology
- Published
- 2021-03-12
- Volume
- 18
- Issue
- 8
- Pages
- 600-609
- ISSN
- 1759-5002 (ISSN-L)
- 1759-5010
- OpenAlex
- W3134395396
- Cited by
- 170
- References
- 15
- FWCI
- 2.64
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Applications of artificial intelligence in cardiovascular imaging. https://app.cochat.ai/papers/10.1038/s41569-021-00527-2
- The paper
- Sermesant, M., Delingette, H., Cochet, H., Jaïs, P., & Ayache, N. (2021). Applications of artificial intelligence in cardiovascular imaging. Nature Reviews Cardiology. https://doi.org/10.1038/s41569-021-00527-2
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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.
