https://doi.org/10.1148/radiol.2020191030
M
Manisha Bahl
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30
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Manisha Bahl is an academic researcher from Harvard University. The author has contributed to research in topics: Digital Radiography and Breast Imaging & AI in cancer detection & Breast Cancer Treatment Studies. The author has an h-index of 30, co-authored 99 publications.
ORCID: 0000-0002-7728-7690Papers by this author
worksBreast Cancer Screening with Digital Breast Tomosynthesis: Are Initial Benefits Sustained?
2020 · Radiology · 40 citations
Traditional versus modern approaches to screening mammography: a comparison of computer-assisted detection for synthetic 2D mammography versus an artificial intelligence algorithm for digital breast tomosynthesis
2025 · Breast Cancer Research and Treatment · 3 citations
https://doi.org/10.1007/s10549-024-07589-z
Artificial Intelligence (AI)-Based Computer-Assisted Detection and Diagnosis for Mammography: An Evidence-Based Review of Food and Drug Administration (FDA)-Cleared Tools for Screening Digital Breast Tomosynthesis (DBT)
2024 · AI in Precision Oncology · 2 citations
https://doi.org/10.1089/aipo.2024.0022
AI to Reduce the Interval Cancer Rate of Screening Digital Breast Tomosynthesis
2025 · Radiology · 2 citations
https://doi.org/10.1148/radiol.241050
Cardiac magnetic resonance whole-heart two-dimensional single-breathhold and navigator-guided three-dimensional free-breathing quantification of infarct size are accurate alternative techniques to standard two-dimensional late gadolinium enhancement imaging
2010 · Journal of Cardiovascular Magnetic Resonance · 0 citations
https://doi.org/10.1186/1532-429x-12-s1-p95
ACR Appropriateness Criteria® Breast Implant Evaluation: Update 2025
2026 · Journal of the American College of Radiology · 0 citations
https://doi.org/10.1016/j.jacr.2026.01.013
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