%0 Journal Article %1 journals/jamia/BalachandarCKR20 %A Balachandar, Niranjan %A Chang, Ken %A Kalpathy-Cramer, Jayashree %A Rubin, Daniel L. %D 2020 %J J. Am. Medical Informatics Assoc. %K dblp %N 5 %P 700-708 %T Accounting for data variability in multi-institutional distributed deep learning for medical imaging. %U http://dblp.uni-trier.de/db/journals/jamia/jamia27.html#BalachandarCKR20 %V 27

@article{journals/jamia/BalachandarCKR20, added-at = {2020-10-11T00:00:00.000+0200}, author = {Balachandar, Niranjan and Chang, Ken and Kalpathy-Cramer, Jayashree and Rubin, Daniel L.}, biburl = {https://www.bibsonomy.org/bibtex/26bbe9a3cec933c63f1d661466d5f0fda/dblp}, ee = {https://www.wikidata.org/entity/Q90496640}, interhash = {3d9a2fd899b5b656637d709da9a749c3}, intrahash = {6bbe9a3cec933c63f1d661466d5f0fda}, journal = {J. Am. Medical Informatics Assoc.}, keywords = {dblp}, number = 5, pages = {700-708}, timestamp = {2020-10-12T11:35:09.000+0200}, title = {Accounting for data variability in multi-institutional distributed deep learning for medical imaging.}, url = {http://dblp.uni-trier.de/db/journals/jamia/jamia27.html#BalachandarCKR20}, volume = 27, year = 2020 }