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Peer-reviewedLicence not statedRadiology. Artificial intelligence

A Deep Learning Model Incorporating Spatiotemporal Asymmetries on Longitudinal Mammograms to Predict Breast Cancer Risk

  • Zhengbo Zhou1
  • Dooman Arefan2
  • Margarita L. Zuley2
  • Jules H. Sumkin2
  • Shandong Wu1,2,3,4
4 affiliations
  1. 1Intelligent Systems Program, University of Pittsburgh, 3240 Craft Pl, Rm 322, Pittsburgh, PA 15213
  2. 2Department of Radiology, University of Pittsburgh, Pittsburgh, Pa
  3. 3Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pa
  4. 4Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pa
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Cite

BibTeXRIS
BibTeX
@article{zhou2026deep,
  title = {{A Deep Learning Model Incorporating Spatiotemporal Asymmetries on Longitudinal Mammograms to Predict Breast Cancer Risk}},
  author = {Zhengbo Zhou and Dooman Arefan and Margarita L. Zuley and Jules H. Sumkin and Shandong Wu},
  journal = {Radiology. Artificial intelligence},
  year = {2026},
  month = sep,
  doi = {10.1148/ryai.250888},
  url = {https://doi.org/10.1148/ryai.250888},
}
RIS
TY  - JOUR
TI  - A Deep Learning Model Incorporating Spatiotemporal Asymmetries on Longitudinal Mammograms to Predict Breast Cancer Risk
AU  - Zhengbo Zhou
AU  - Dooman Arefan
AU  - Margarita L. Zuley
AU  - Jules H. Sumkin
AU  - Shandong Wu
PY  - 2026
DA  - 2026/09/01
JO  - Radiology. Artificial intelligence
DO  - 10.1148/ryai.250888
UR  - https://doi.org/10.1148/ryai.250888
SN  - 2638-6100
ER  -