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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
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Rubin, Daniel
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2020
Federated Learning for Breast Density Classification: A Real-World Implementation
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Roth, Holger R., Chang Ken, Singh Praveer, Neumark Nir, Li Wenqi, Gupta Vikash, Gupta Sharut, Qu Liangqiong, Ihsani Alvin, Bizzo Bernardo C., et al.
, Cham, p.181-191, (2020)
2019
A lung graph model for the classification of interstitial lung diseases on CT images
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Vanoost, Guillaume, Cid Yashin Dicente, Rubin Daniel, and Depeursinge Adrien
, Volume 10950, (2019)
Prediction of Imaging Outcomes from Electronic Health Records: Pulmonary Embolism Case-Study
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Banerjee, Imon, Sofela Miji, Amrhein Timothy, Rubin Daniel, Zamanian Roham, and Lungren Matthew
, AMIA Annual Symposium, (2019)
2014
Classification of hepatic lesions using the matching metric
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Adcock, Aaron, Rubin Daniel, and Carlsson Gunnar
, Computer Vision and Image Understanding, 4//, Volume 121, p.36-42, (2014)
Recent Publications
Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women
Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelines
Lower Extremity Venous Stent Placement: A Large Retrospective Single-Center Analysis
Automatic Staging of Cancer Tumors Using AIM Image Annotations and Ontologies
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