Comparison of Deep-Learning-Based Reconstruction of Knee MRI with Conventional Sequences in Patients with Knee Pain
- DOI
- 10.3390/diagnostics16182957
- Published
- 2026-09-13
- Container
- Diagnostics
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics16182957,
title = {Comparison of Deep-Learning-Based Reconstruction of Knee MRI with Conventional Sequences in Patients with Knee Pain},
author = {Rola Husain and Stephen Belmustakov and Etan Dayan and Guillermo Carbonell and Ajit Shankaranarayanan and Mingqian Huang and Idoia Corcuera-Solano},
year = {2026},
journal = {Diagnostics},
doi = {10.3390/diagnostics16182957},
url = {https://doi.org/10.3390/diagnostics16182957}
}RIS
TY - JOUR TI - Comparison of Deep-Learning-Based Reconstruction of Knee MRI with Conventional Sequences in Patients with Knee Pain AU - Rola Husain AU - Stephen Belmustakov AU - Etan Dayan AU - Guillermo Carbonell AU - Ajit Shankaranarayanan AU - Mingqian Huang AU - Idoia Corcuera-Solano PY - 2026 JO - Diagnostics DO - 10.3390/diagnostics16182957 UR - https://doi.org/10.3390/diagnostics16182957 ER -
APA
Husain, R., Belmustakov, S., Dayan, E., Carbonell, G., Shankaranarayanan, A., Huang, M., & Corcuera-Solano, I. (2026). Comparison of Deep-Learning-Based Reconstruction of Knee MRI with Conventional Sequences in Patients with Knee Pain. Diagnostics. https://doi.org/10.3390/diagnostics16182957
Source records
- crossref · retrieved 2026-09-26T17:50:15.546Z