The Challenge of Rendering Abnormalities Accurately Using Deep Learning-Based Reconstruction in Accelerated Brain MRI
- DOI
- 10.1097/rli.0000000000001308
- Published
- 2026-09-14
- Container
- Investigative Radiology
- Publisher
- Ovid Technologies (Wolters Kluwer Health)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1097/rli.0000000000001308,
title = {The Challenge of Rendering Abnormalities Accurately Using Deep Learning-Based Reconstruction in Accelerated Brain MRI},
author = {Shengjia Chen and Patricia M. Johnson and Yvonne W. Lui},
year = {2026},
journal = {Investigative Radiology},
doi = {10.1097/rli.0000000000001308},
url = {https://doi.org/10.1097/rli.0000000000001308}
}RIS
TY - JOUR TI - The Challenge of Rendering Abnormalities Accurately Using Deep Learning-Based Reconstruction in Accelerated Brain MRI AU - Shengjia Chen AU - Patricia M. Johnson AU - Yvonne W. Lui PY - 2026 JO - Investigative Radiology DO - 10.1097/rli.0000000000001308 UR - https://doi.org/10.1097/rli.0000000000001308 ER -
APA
Chen, S., Johnson, P. M., & Lui, Y. W. (2026). The Challenge of Rendering Abnormalities Accurately Using Deep Learning-Based Reconstruction in Accelerated Brain MRI. Investigative Radiology. https://doi.org/10.1097/rli.0000000000001308
Source records
- crossref · retrieved 2026-09-26T11:31:16.588Z