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Distributed deep learning networks among institutions for medical imaging.

K. Chang, N. Balachandar, C. Lam, D. Yi, J. Brown, A. Beers, B. Rosen, D. Rubin, and J. Kalpathy-Cramer. J. Am. Medical Informatics Assoc., 25 (8): 945-954 (2018)

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Daniel L Brunner

Daniel L Freiner

Daniel L Straub

Helmut Rubin

Hans Rubin

Other publications of authors with the same name

BioPortal: A Web Repository for Biomedical Ontologies and Data Resources.N. Noy, N. Shah, B. Dai, M. Dorf, N. Griffith, C. Jonquet, M. Montegut, D. Rubin, C. Youn, and M. Musen. ISWC (Posters & Demos), volume 401 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint.S. Niu, Q. Chen, L. de Sisternes, D. Rubin, W. Zhang, and Q. Liu. Comput. Biol. Medicine, (2014)Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.Z. Akkus, A. Galimzianova, A. Hoogi, D. Rubin, and B. Erickson. J. Digit. Imaging, 30 (4): 449-459 (2017)Toward Data-Driven Learning Healthcare Systems in Interventional Radiology: Implementation to Evaluate Venous Stent Patency.D. Cohn, T. Mabud, V. Arendt, A. Souffrant, G. Jeon, X. An, W. Kuo, D. Sze, L. Hofmann, and D. Rubin. J. Digit. Imaging, 33 (1): 25-36 (2020)Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning.L. Qu, Y. Zhou, P. Liang, Y. Xia, F. Wang, L. Fei-Fei, E. Adeli, and D. Rubin. CoRR, (2021)PlexusNet: A neural network architectural concept for medical image classification.O. Eminaga, M. Abbas, J. Shen, M. Laurie, J. Brooks, J. Liao, and D. Rubin. Comput. Biol. Medicine, (March 2023)Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS.M. De-Arteaga, I. Eggel, B. Do, D. Rubin, C. Jr., and H. Müller. J. Biomed. Informatics, (2015)Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort.I. Banerjee, M. Chen, M. Lungren, and D. Rubin. J. Biomed. Informatics, (2018)A weakly supervised model for the automated detection of adverse events using clinical notes.J. Sanyal, D. Rubin, and I. Banerjee. J. Biomed. Informatics, (2022)Automatic inference of BI-RADS final assessment categories from narrative mammography report findings.I. Banerjee, S. Bozkurt, E. Alkim, H. Sagreiya, A. Kurian, and D. Rubin. J. Biomed. Informatics, (2019)

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Disambiguation of "Rubin, Daniel L."

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Distributed deep learning networks among institutions for medical imaging.

Please choose a person to relate this publication to

Daniel L Brunner

Daniel L Freiner

Daniel L Straub

Helmut Rubin

Hans Rubin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Rubin, Daniel L."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Distributed deep learning networks among institutions for medical imaging.

Please choose a person to relate this publication to

Daniel L Brunner

Daniel L Freiner

Daniel L Straub

Helmut Rubin

Hans Rubin

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Distributed deep learning networks among institutions for medical imaging.