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Collaborations and top research areas from the last five years
Grants
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Computer-Aided Triage of Body CT Scans with Deep Learning
Rubin, G. D. (CoPI)
Project: Research project
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Center for Advanced Magnetic Resonance Technology at Stanford
Rubin, G. D. (CoPI)
Project: Research project
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DIFFUSION WEIGHTED IMAGING OF COLD LESION TRAUMA IN RAT BRAIN
Rubin, G. D. (PI)
Project: Research project
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Multi-disease Classification of CT Reports using Traditional Natural Language Processing and a Lightweight Foundation Model
Garcia-Alcoser, M. E., Tushar, F. I., Nejad, M. G., Rubin, G. D. & Lo, J. Y., 2025, Medical Imaging 2025: Imaging Informatics. Wu, S. (ed.). SPIE, 134110E. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 13411).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Value Creation Through Artificial Intelligence and Cardiovascular Imaging: A Scientific Statement From the American Heart Association
on behalf of the American Heart Association Council on Cardiovascular Radiology and Intervention; and Council on Lifelong Congenital Heart Disease and Heart Health in the Young, Feb 6 2024, In: Circulation. 149, 6, p. E296-E311Research output: Contribution to journal › Review article › peer-review
Open Access39 Link opens in a new tab Scopus citations -
CAD-RADS™ 2.0 - 2022 Coronary Artery Disease-Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR), and the North America Society of Cardiovascular Imaging (NASCI)
Cury, R. C., Leipsic, J., Abbara, S., Achenbach, S., Berman, D., Bittencourt, M., Budoff, M., Chinnaiyan, K., Choi, A. D., Ghoshhajra, B., Jacobs, J., Koweek, L., Lesser, J., Maroules, C., Rubin, G. D., Rybicki, F. J., Shaw, L. J., Williams, M. C., Williamson, E. & White, C. S. & 2 others, , Nov 1 2022, In: Journal of Cardiovascular Computed Tomography. 16, 6, p. 536-557 22 p.Research output: Contribution to journal › Article › peer-review
Open Access317 Link opens in a new tab Scopus citations -
CAD-RADS™ 2.0 – 2022 Coronary Artery Disease-Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR), and the North America Society of Cardiovascular Imaging (NASCI)
Cury, R. C., Leipsic, J., Abbara, S., Achenbach, S., Berman, D., Bittencourt, M., Budoff, M., Chinnaiyan, K., Choi, A. D., Ghoshhajra, B., Jacobs, J., Koweek, L., Lesser, J., Maroules, C., Rubin, G. D., Rybicki, F. J., Shaw, L. J., Williams, M. C., Williamson, E. & White, C. S. & 2 others, , Nov 2022, In: JACC: Cardiovascular Imaging. 15, 11, p. 1974-2001 28 p.Research output: Contribution to journal › Article › peer-review
Open Access144 Link opens in a new tab Scopus citations -
CAD-RADS™ 2.0 – 2022 Coronary Artery Disease – Reporting and Data System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR) and the North America Society of Cardiovascular Imaging (NASCI)
Cury, R. C., Leipsic, J., Abbara, S., Achenbach, S., Berman, D., Bittencourt, M., Budoff, M., Chinnaiyan, K., Choi, A. D., Ghoshhajra, B., Jacobs, J., Koweek, L., Lesser, J., Maroules, C., Rubin, G. D., Rybicki, F. J., Shaw, L. J., Williams, M. C., Williamson, E. & White, C. S. & 2 others, , Nov 2022, In: Journal of the American College of Radiology. 19, 11, p. 1185-1212 28 p.Research output: Contribution to journal › Article › peer-review
46 Link opens in a new tab Scopus citations
Datasets
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Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning
D’Anniballe, V. M. (Creator), Tushar, F. I. (Creator), Faryna, K. (Creator), Han, S. (Creator), Mazurowski, M. A. (Creator), Rubin, G. D. (Creator) & Lo, J. Y. (Creator), figshare, 2022
DOI: 10.6084/m9.figshare.c.5951163, https://springernature.figshare.com/collections/Multi-label_annotation_of_text_reports_from_computed_tomography_of_the_chest_abdomen_and_pelvis_using_deep_learning/5951163
Dataset
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Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning
D’Anniballe, V. M. (Creator), Tushar, F. I. (Creator), Faryna, K. (Creator), Han, S. (Creator), Mazurowski, M. A. (Creator), Rubin, G. D. (Creator) & Lo, J. Y. (Creator), figshare, 2022
DOI: 10.6084/m9.figshare.c.5951163.v1, https://springernature.figshare.com/collections/Multi-label_annotation_of_text_reports_from_computed_tomography_of_the_chest_abdomen_and_pelvis_using_deep_learning/5951163/1
Dataset