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Laboratory of Quantitative Imaging and Artificial Intelligence (QIAI)
Daniel L. Rubin, MD, MS
Professor of Biomedical Data Science, Radiology, and Medicine (Biomedical Informatics)
and (by courtesy) Computer Science and Ophthalmology
Phone: (650) 723-9529 | Fax: (650) 723-5795
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Publications
Found 6 results
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Gimenez, F.
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2020
Natural Language Generation Model for mammography reports simulation
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Hoogi, A., Mishra A., Gimenez F., Dong J., and Rubin D. L.
, IEEE J Biomed Health Inform, Apr, (2020)
2019
A Probabilistic Model to Support Radiologists' Classification Decisions in Mammography Practice
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Zeng, J., Gimenez F., Burnside E. S., Rubin D. L., and Shachter R.
, Med Decis Making, Apr, Volume 39, Number 3, p.208-216, (2019)
2017
Differential Data Augmentation Techniques for Medical Imaging Classification Tasks
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Hussain, Z., Gimenez F., Yi D., and Rubin D.
, AMIA Annu Symp Proc, Volume 2017, p.979-984, (2017)
2016
Using automatically extracted information from mammography reports for decision-support
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Bozkurt, S., Gimenez F., Burnside E. S., Gulkesen K. H., and Rubin D. L.
, J Biomed Inform, Aug, Volume 62, p.224-31, (2016)
2014
A Novel Method to Assess Incompleteness of Mammography Report Content (Martin Epstein Award)
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Gimenez, F., Wu Y., Burnside E. S., and Rubin D. L.
, Proceedings of the American Medical Informatics Association, Washington, DC, p.1758-1767, (2014)
2012
Automatic annotation of radiological observations in liver CT images
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Gimenez, F., Xu J., Liu Y., Liu T., Beaulieu C., Rubin D., and Napel S.
, AMIA Annu Symp Proc, Volume 2012, p.257-63, (2012)
Recent Publications
Automatic Staging of Cancer Tumors Using AIM Image Annotations and Ontologies
Natural Language Generation Model for mammography reports simulation
Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI
Cancer Treatment Classification with Electronic Medical Health Records
More...