( en | de | ru )

 

Disambiguation of "Rubin, Daniel L."

Author of the publication

copydeleteadd this publication to your clipboard
Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data.

, , , and . J. Biomed. Informatics, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Daniel L Brunner

Daniel L Freiner

Daniel L Straub

Hans Rubin

Helmut Rubin

 

Other publications of authors with the same name

Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort, , , and . Journal of biomedical informatics, (2018)Creating and Curating a Terminology for Radiology: Ontology Modeling and Analysis.. J. Digital Imaging, 21 (4): 355-362 (2008)Out of Distribution Detection for Medical Images., , and . UNSURE/PIPPI@MICCAI, volume 12959 of Lecture Notes in Computer Science, page 102-111. Springer, (2021)Observational Supervision for Medical Image Classification Using Gaze Data., , , , , , , , , and . MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 603-614. Springer, (2021)Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning., , , , , , , , , and 1 other author(s). MICCAI (8), volume 13437 of Lecture Notes in Computer Science, page 309-318. Springer, (2022)Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning., , , , , , , and . CVPR, page 10051-10061. IEEE, (2022)The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions., , , , , , , , , and 2 other author(s). CoRR, (2020)Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint., , , , , and . Comput. Biol. Medicine, (2014)Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions., , , , and . J. Digit. Imaging, 30 (4): 449-459 (2017)Toward Data-Driven Learning Healthcare Systems in Interventional Radiology: Implementation to Evaluate Venous Stent Patency., , , , , , , , , and . J. Digit. Imaging, 33 (1): 25-36 (2020)