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Daniel L Rubin

Showing results (161-170 of 261) with videos related to

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Radiology|August 24, 2006
Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experienceElizabeth S Burnside, Daniel L Rubin, Jason P Fine, et al.
Nature Communications|August 17, 2016
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image featuresKun-Hsing Yu, Ce Zhang, Gerald J Berry, et al.
The Lancet. Oncology|January 2, 2021
Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic studyRikiya Yamashita, Jin Long, Teri Longacre, et al.
International Journal of Radiation Oncology, Biology, Physics|May 24, 2016
Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot StudyJia Wu, Michael F Gensheimer, Xinzhe Dong, et al.
JCO Clinical Cancer Informatics|April 6, 2021
Natural Language Processing to Identify Cancer Treatments With Electronic Medical RecordsJiaming Zeng, Imon Banerjee, A Solomon Henry, et al.
Radiology|September 7, 2016
Breast Cancer Risk and Mammographic Density Assessed with Semiautomated and Fully Automated Methods and BI-RADSAbra M Jeffers, Weiva Sieh, Jafi A Lipson, et al.
IEEE Journal of Biomedical and Health Informatics|April 5, 2023
Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural NetworksSiyi Tang, Amara Tariq, Jared A Dunnmon, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language ProcessingSelen Bozkurt, Jung In Park, Kathleen Mary Kan, et al.
JAMIA Open|April 30, 2019
Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatmentImon Banerjee, Kevin Li, Martin Seneviratne, et al.
Journal of Biomedical Informatics|March 30, 2026
Extraction of distant recurrence sites for breast cancer patients from free-text clinical notes using large language modelsMadhu Babu Sikha, Amara Tariq, Allison W Kurian, et al.
Pageof 27

Showing results (161-170 of 261) with videos related to

Sort By:
Pageof 27
Radiology|August 24, 2006
Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experienceElizabeth S Burnside, Daniel L Rubin, Jason P Fine, et al.
Nature Communications|August 17, 2016
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image featuresKun-Hsing Yu, Ce Zhang, Gerald J Berry, et al.
The Lancet. Oncology|January 2, 2021
Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic studyRikiya Yamashita, Jin Long, Teri Longacre, et al.
International Journal of Radiation Oncology, Biology, Physics|May 24, 2016
Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot StudyJia Wu, Michael F Gensheimer, Xinzhe Dong, et al.
JCO Clinical Cancer Informatics|April 6, 2021
Natural Language Processing to Identify Cancer Treatments With Electronic Medical RecordsJiaming Zeng, Imon Banerjee, A Solomon Henry, et al.
Radiology|September 7, 2016
Breast Cancer Risk and Mammographic Density Assessed with Semiautomated and Fully Automated Methods and BI-RADSAbra M Jeffers, Weiva Sieh, Jafi A Lipson, et al.
IEEE Journal of Biomedical and Health Informatics|April 5, 2023
Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural NetworksSiyi Tang, Amara Tariq, Jared A Dunnmon, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language ProcessingSelen Bozkurt, Jung In Park, Kathleen Mary Kan, et al.
JAMIA Open|April 30, 2019
Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatmentImon Banerjee, Kevin Li, Martin Seneviratne, et al.
Journal of Biomedical Informatics|March 30, 2026
Extraction of distant recurrence sites for breast cancer patients from free-text clinical notes using large language modelsMadhu Babu Sikha, Amara Tariq, Allison W Kurian, et al.
Pageof 27